This paper introduces a paradigm-shifting high bandwidth nanostructured metamaterial absorber meticulously engineered to efficiently capture electromagnetic radiation across the visible and infrared spectrum. Through the integration of advanced nanofabrication techniques and innovative design principles, our absorber showcases unparalleled absorption capabilities, surpassing conventional absorbers in both bandwidth and efficiency. Our approach involves a comprehensive exploration, including rigorous theoretical analysis, extensive numerical simulations, and meticulous experimental validation, all of which underscore the exceptional performance and versatility of our absorber.......

Keywords: - Metamaterial, Absorber, Nanostructured, High bandwidth

[1]. Choi, M., Lee, S. H., Kim, Y., Kang, Y., & Lee, Y. (2011). A broadband near-perfect absorber with monolayer graphene. Optics express, 20(2), 430-436.
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[3]. Zhu, B., Feng, Y., Zhao, J., Jiang, T., Jun, L., Wang, Y., … & Zhang, X. (2010). Plasmonic metamaterial absorber for broadband manipulation of mechanical resonances. Nature communications, 1(1), 1-6.
[4]. Aydin, K., Ferry, V. E., Briggs, R. M., & Atwater, H. A. (2011). Broadband polarization-independent resonant light absorption using ultrathin plasmonic super absorbers. Nature communications, 2(1), 1-7.
[5]. Wu, C., Neuner III, B., John, J., Milder, A., Zollars, B., & Savoy, S. (2011). Metamaterial-based integrated plasmonic absorber/emitter for solar thermo-photovoltaic systems. Journal of Optics, 14(2), 024005.

A nation's grip on technology is a direct reflection of its industrial capabilities, hence, economic strength. Ghana, like many sub-Saharan Africa countries, aspired to develop its industrial base since inception as a nation. Such an aspiration was deemed by this study to require a concerted policy framework in technology creation/production/manufacturing intertwined with cultural underpinnings. Industry requires the use of technology and technology must necessarily be manufactured, again, through the application of technology. However, the issue of technology has been problematic in the African regions......

Keywords: - sustainable manufacturing, culture, technology, technology development, Ghana

[1]. ALLEN, K. A., KERN, M. L., ROZEK, C. S., MCINERNEY, D. M., & SLAVICH, G. M. (2021). Belonging: A review of conceptual issues, an integrative framework, and directions for future research. Australian Journal of Psychology, 73(1), 87-102.
[2]. ÁLVAREZ, J. M., & ROIBÁS-MILLÁN, E. (2021). Agile methodologies applied to Integrated Concurrent Engineering for spacecraft design. Research in Engineering Design, 32(4), 431-450.
[3]. AMT. 2013. What is Manufacturing Technology? [OnIine]. Virginia, USA: The Association for Manufacturing Technology (AMT). Available: http://www.amtonline.org/aboutamt/WhatisManufacturing Technology [Accessed 11 April 2013].
[4]. APPIAH, R. (2020). Community-based participatory research in rural African contexts: Ethico-cultural considerations and lessons from Ghana. Public Health Reviews, 41(1), 27
[5]. ARYEETEY, E. & FOSU, A. K. 2008. Economic Growth in Ghana: 1960-2000. In: J. B., Nudulu, J. -P., Azam, and H. R., Bates, eds. 2008, The Political Economy of Economic Growth in Africa, 1960-2000: Country Case Studies, Press, pp. 289-324., Cambridge, Cambridge University.

In a given work there is presented a solution of the significant problem – the improvement of silikomarganse guality by means of release of metal in the ladie with slag placed into it, which is previously covered with limestone layer. In order to improve the guality control there was developed and applied in manufacturing by authors new method of avtomatically control oif limestone humidity in the drying camera that also together with a new refining method results in maximum decrease of the waste produchs and of the harmful impurities contents in silikomarganese.

Key words: METAL RELEASE, SILIKOMARGANESE, SLAG, HARMFUL IMPURITIES, QUALITU CONTROL, LIMESTONE LAYER, HUMIDITY CONTROL, DRYING, STATIG REGIME, THERMAL MATERIAL BALANCE.

[1]. Arzamasov B.N. Sidorin I.I, Kosolapov G.F. and others. Materials science. M: "Mechanical Engineering", 2009, p. 383
[2]. Getsadze A, geguchadze Ts, Obout one experiment determination of roughness, 2019, (314)30, Tbilisi University Works, Mathematics, Mechanics, Astronomy, p178
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[4]. Gasik M.I. Manganese. Moscow, "Metallurgy" 2020, p231
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This study examines how different bath temperatures, specifically Selected Vegetable oil, water, palm kernel oil, engine oil, and diesel, affect the cooling rates, mechanical properties, and microstructure of quenched steel samples. Quenching is a widely used heat treatment process employed in steel machine components to improve their mechanical properties and increase their longevity. During quenching, heat is rapidly transferred from the hot metal component to the quenchant, resulting in a rapid decrease in temperature and inducing phase transformation in the metal. In this research, the steel samples were heated to an austenitizing temperature of 730°C, and alternative quenching methods were applied alongside water.......

Keywords: - Quenching, Cooling rates, Mechanical properties, Microstructure, Austenizing temperature, Steel and strength

[1]. Agboola, J. B., Abubakre, O. K., Mudiare, E. and Adeyemi, M. B.(2015).Effects of Bath Temperature on Cooling Rate, Mechanical Properties and Microstructure of Medium Carbon Steel during Quenching Operations, Department of Mechanical Engineering, Federal University of Technology, Minna, Nigeria.
[2]. Adnan, C., Motagi, B.S., and Bhosle, R. (2019). Effect of Heat Treatment on Microstructure and Mechanical Propertiesof Medium Carbon Steel; International Journal of Engineering Research and Development. Vol 2; Issue 1.Pp07-13
[3]. Adegoke,C.O., Adewuyi, B.O., and Afonja,A.A.(2005). Effects of Isothermal
[4]. Transformation on the Fatigue strength of Austempered Ductile Iron,Bostwana Journal of Technology, vol. 14, No 2, P.22.
[5]. Bodede, O. R., Ojo, P. O., Ayodele, O. R., Owa, A. F., and Ajayi, O. B., (2011)."Evaluation ofAs-Quenched Hardness of 1.2% Carbon Steels in Different Quenching Media," J. of Emerging Trends in Engineering and Applied Sciences, 3(1):127–130.

The doors and windows of traditional houses in China are an important part of Chinese vernacular culture. This paper will take a look at the artistic characteristics and historical and cultural background of traditional residential doors and windows. In this paper, we study the doors and windows of the ancient buildings of Jingtai Village, such as the stone pagoda at the village gate, the old house Xi Lu, and the Mo Zhuang, based on the artistic characteristics and historical and cultural background of the decoration of traditional residential doors and windows. The study is summarised by means of field research and historical data. The study will then explain the traditional symbolism and stories of the decorative art of the doors and windows of the traditional houses in Jingtai Village, and analyse the practical, artistic and historical-cultural characteristics of the decorative art of the doors and windows of the traditional houses, as well as the ways and means of conservation.

Keywords: - Jingtai village; traditional dwelling; door and window decoration; decorative allegory.

[1]. Zheng T.X.,Wang X.Q.. Landscape conservation and development of traditional villages: the case of Anyi Ancient Village Group[J]. Modern Garden Art,2022,45(22):140-142+146.
[2]. Xu Qing. Research on the Spatial Environment of Traditional Villages Based on Intangible Cultural Heritage [D]. South China University of Technology, 2021.
[3]. Cheng Xin. A comparative study of the formal characteristics of traditional architectural brick gatehouses: Yangzhou and Suzhou as examples[J]. China Building Decoration, 2022(14):141-143.
[4]. Wang Jintao. On the Art of Brick Carving in Traditional Houses [J]. Decoration,2006(02):26-27.
[5]. Guo Juan. The application of traditional patterns in Ming and Qing architectural decoration[J]. Art 100,2015,31(S1):116-118.

The principles of construction of smart antennas for small-sized radio systems in the millimeter wave band on the basis of open radiating structures are considered. It includes active semiconductor elements that provide generation, emission into space and reception of signals scattered from objects in a single device. The presented materials are of interest for developers of small-scale radar facilities of millimeter range, for example radars for preventing collisions of vehicles, as well as communication systems.

Keywords: - radar, millimeter wave band, small-sized radio system, open radiating structures, detection.

[1]. Yurchenko, A. V., Yurchenko, V. I., Votoropin, S. D. (2009). Autodyne sensors in measuring technology. Tomsk: TPU, 128.
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Background: Mining is an essential industry for supporting economic and societal development, but it does not come without environmental consequences. One of the most significant environmental impacts of mining is the fact that blasting practices used to facilitate the extraction of ore, can wreak havoc on buildings and other structures located in and around the affected mine site. This paper discusses the effects of mining blast on buildings, including the force of the blast wave, vibrations caused by the blast. A proposed equation is evaluated using field measurements results obtained from the Multi-channel process. Also, the comparison of field results with International Building Codes and others is presented.

Keywords: - Blasting; Blast Induced Vibration, Limestone Mine; Field Measurements.

[1 ]. A. M. Ismail, Seismic assessment of guyed towers: A case study combining field measurements and pushover analysis, https://doi.org/10.1016/j.hbrcj.2014.06.014.
[2 ]. Ainalis, D.; Kaufmann, O.; Tshibangu, J.P.; Verlinden, O.; Kouroussi, G. Assessing blast source pressure modelling approaches for the numerical simulation of ground vibrations. In Proceedings of the 23rd International Congress on Sound and Vibration, Athens, Greece, 10–14 July 2016.
[3 ]. Ak, H., Iphar, M., Yavuz, M. and Konuk, A. (2009). Evaluation of ground vibration effect of blasting operations in a magnesite mine. Soil Dynamics and Earthquake Engineering. 29: 669-676.
[4 ]. and damage produced by ground vibration from surface mine blasting. Int J Rock Mech. Min Sci Geomech Abstr 18:76. https://doi.org/10.1016/0148-9062(81)91353-X.
[5 ]. Armaghani DJ, Hajihassani M, Mohamad ET, Marto A, Noorani SA (2014) Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization. Arab J Geosci. 7:5383–5396. https://doi.org/10.1007/ s12517-013-1174-0.

This research delves into the critical issue of security policy misconfigurations in digital infrastructures, exploring their origins, impacts, and potential remedies. With a focus on uncovering the underlying causes such as human error, technical complexities, and evolving cyber threats, the study employs a multi-disciplinary approach integrating empirical data, theoretical insights, and case studies. The investigation highlights the pervasive nature of security misconfigurations across various computing environments and their profound effects on organizational security, including data breaches, compliance failures, and operational disruptions. Central to the research is....

Keywords: - Security Policy Misconfigurations, Cybersecurity, Digital Systems, Threat Mitigation, Proactive Strategies, Access Control, Data Breaches, Compliance Violations, Automated Remediation, Security Frameworks, Encryption Settings, Human Error, Technical Complexities, Design-Time Interventions.

[1] Anderson, R., & Moore, T. (2009). The Economics Of Information Security. Science, 314(5799), 610-613.
[2] Williams, M., R., & Rouse, M. (2018). Security Misconfiguration. Retrieved From Https://Searchsecurity.Techtarget.Com/Definition/Security-Misconfiguration.
[3] Dua, A., Du, X., Zhang, Y., & Zhang, Y. (2019). Policy-Based Access Control For The Internet Of Things. Future Generation Computer Systems, 91, 462-473.
[4] Koziol, J., & Pasupulati, S. (2018). How And Why To Mitigate A Misconfiguration Attack.
[5] L. Bauer, L. F. Cranor, M. K. Reiter, and K. Vaniea. Insights from Implementing a Smartphone-Based

This research study examines the changing connections between the administration of cyberspace and nuclear regimes, emphasizing the urgent requirement for comprehensive policy frameworks in a time when technical breakthroughs are becoming increasingly dominant. The increasing integration of digital technologies into national defense systems has made the relationship between cybersecurity measures and nuclear safety standards a crucial aspect of international security. This paper examines the consequences of cyber threats on nuclear security, the....

Keywords: - ● Cybersecurity ● Nuclear Security ● International Law ● Cyber-espionage ● Nuclear Non-Proliferation ● Digital Governance ● International Cooperation ● Policy Harmonization ● State and Non-State Actors ● Cyber Threats

[1]. Alexander, J., Bogart, A., & Dismukes, J. (2017). Cyberspace, Nuclear Weapons, and Deterrence. Journal of Cybersecurity, 3(2), 103–117.
[2]. Arkin, W. M. (2017). Cyber and Nuclear Weapons: Is There a 'Use Divide'? Bulletin of the Atomic Scientists, 73(2), 101–106.
[3]. Bunn, M., & Charp, A. (2017). Combining Cyber and Nuclear Security Analyses: The Need for Integrated, Multidisciplinary Approaches. Journal of Cybersecurity, 3(2), 81–102.
[4]. Camp, L. J. (2019). Nuclear Cybersecurity: Assessing the Threat Landscape and Implementing Best Practices. Routledge.
[5]. Chandrasekaran, R., & Heginbotham, E. (Eds.). (2014). Cybersecurity and Cyberwar: What Everyone Needs to Know. Oxford University Press

Space debris presents a significant hazard to satellites, spacecraft, and astronauts in Earth's orbit, necessitating effective mitigation strategies for the long-term sustainability of space activities. This research paper analyses current methods for tracking space debris, evaluates the effectiveness of space debris removal techniques, and identifies challenges associated with implementing mitigation strategies. Tracking methods include cataloging debris and using ground lasers for nudging, while active removal technologies aim to target larger debris before fragmentation. Assessing removal techniques involves considering the reduction in hazards to ongoing space operations and comparing effectiveness with other methods. Challenges in implementation range from regulatory compliance...

Keywords: - Space Debris, Removal Techniques, Clean-up, Mitigation.

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Psychological stress is threatening people's health. It is non-trivial to detect stress timely for proactive care. With the popularity of social media, people are used to share their daily activities and interact with friends on social media platforms, making it feasible to leverage online social network data for stress detection. We find that users stress state is closely related to that of his/her friends in social media, and we employ a large-scale dataset from real-world social platforms to systematically study the correlation of users' stress states and social interactions. We first define a set of stress-related textual, visual, and social attributes from various aspects, and then proposed a plot .Experimental results show that the proposed model can improve the detection performance .With the help of enumeration for the users to identify their stress rate level and can check other related activities.

Keywords: - Stress detection, Keywords – Stress, Facial Expression, Deep Learning, Framework.

[1]. Huijie Lin, Jia Jia, Jiezhon Qiu, Yongfeng Zhang, Lexing Xie, Jie Tang, Ling Feng, and Tat-Seng Chua, "Detecting Stress Based on Social Interactions inSocial Networks", IEEE Transactions on Knowledge and Data Engineering, 2017.
[2]. Aasia Manzoor, Hadia Awan & Sabita Mariam,- INVESTIGATING THE IMPACT OF WORK STRESS ON JOB PERFORMANCE: A Study on Textile Sector of Faisalabad, Asian Journal of Business and Management Sciences ISSN: 2047-2528 Vol. 2 No. 1 [20-28]
[3]. Dr. Jyotsna Codaty, - Key to Stress Free Living V&S publications,2013,New Delhi,pp14,15,45,46.
[4]. P. Kavitha, Role of stress among women employees forming majority workforce at IT sector in Chennai and Coimbatore, Tier-I & Tier-II centers, SONA- Global Management Review , Volume 6, Issues 3, May 2012.
[5]. Kayoko Urakawa and Kazuhito Yokoyam, ―Sense of Coherence (SOC) may reduce the Effects of Occupational Stress on Mental Health Status among Japanese Factory Workers, Journal ofIndustrial Health, Vol. 47 , No. 5 pp.503- 508

The detection of gas emission levels is a crucial problem for ecology and human health. Hyperspectral image analysis offers many advantages over traditional gas detection systems with its detection capability from safe distances. Observing that the existing hyperspectral gas detection methods in the thermal range neglect the fact that the captured radiance in the longwave infrared (LWIR) spectrum is better modeled as a mixture of the radiance of background and target gases, we propose a deep learningbased hyperspectral gas detection method in this article, which combines unmixing and classification. The proposed method first converts the radiance data to luminance-temperature data. Then, a 3-D convolutional neural network (CNN) and autoencoder-based network, which is specially designed for unmixing, is applied to the resulting data to acquire abundances and endmembers for each pixel.....

Keywords: - Autoencoders, convolutional neural networks (CNNs), gas detection, hyperspectral unmixing..

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The project centers on analyzing network traffic within darknet environments, such as the Tor network, to understand how modifications to Tor traffic impact the classification of Onion Service traffic. It acknowledges that while Tor and Onion Services are designed for privacy and anonymity, they can be misused, emphasizing the need for better understanding and monitoring. The project has three primary goals: identifying Onion Service traffic within Tor traffic, assessing the effects of traffic modifications, and pinpointing influential features in the classification process. The project likely employs machine learning and data analysis techniques to achieve its objectives, with a particular focus on analyzing network traffic patterns within the Tor network. The project's findings may have implications for privacy, security, and network monitoring, highlighting the delicate balance between maintaining user privacy and ensuring network security.

Keywords: - Traffic classification, machine learning, onion services, tor, anonymity, feature selection.

[1]. R. Dingledine, N. Mathewson, and P. Syverson, ''Tor: The secondgeneration onion router,'' in Proc. 13th USENIX Secur. Symp. (SSYM), San Diego, CA, USA, Aug. 2004, pp. 303–320.
[2]. M. Al Sabah, K. Bauer, and I. Goldberg, ''Enhancing Tor's performance using real-time traffic classification,'' in Proc. ACM Conf. Comput. Commun. Secur. (CCS), New York, NY, USA, Oct. 2012, pp. 73–84.
[3]. A. H. Lashkari, G. D. Gil, M. S. I. Mamun, and A. A. Ghorbani, ''Characterization of Tor traffic using time based features,'' in Proc. 3rd Int. Conf. Inf. Syst. Secur. Privacy (ICISSP), Porto, Portugal, Feb. 2017, pp. 253–262.

In the contemporary era of heightened emphasis on authentication, facial recognition technology is increasingly pervasive across numerous fields. With the imperative for swift and secure authentication methods intensifying in the information age, image processing innovations like OpenCV have amplified society's reliance on facial recognition. Harnessing the security capabilities of blockchain, this paper proposes the development of a blockchain-secured Attendance Monitoring System, integrating open-source computer vision (OpenCV) for facial detection. This system aims to streamline attendance procedures while fortifying security measures.......

Keywords: - authentication, automation, blockchain, face recognition, OpenCV

[1]. Md. Shakil and RabindraNath Nandi, "Attendance Management System for Industrial Worker using FingerPrintScanner", in Global Journal of Computer Science and Technology Graphics and Vision,Feb 2018.
[2]. Siddharth Rajput, Archana Singh, SmitiKhurana, TusharBansal, SanyuktaShreshtha,"Blockchain Technology and Cryptocurrenices",06 February 2019.
[3]. H.H. Soliman, et al,"A comparative performance evaluation of intrusion detection techniques for hierarchical wireless sensor networks", Egyptian Informatics Journal (2012) 13 Jan 2020.
[4]. Naman Gupta, Purushottam Sharma, Vikas Deep, Vinod Kumar Shukla, "Automated Attendance System Using OpenCV", June 4-5, 2020.
[5]. HasnaArdina,IGustiBagusBaskaraNugraha,"Design of A Blockchain based Employee Attendance System",19 Nov 2019

In our busy and fast-paced environment, many are not concerned with the quality of the food they eat. Their dietary habits and behaviours are often disregarded. Numerous health issues result from this, such as anemia, obesity, diabetes, elevated blood pressure, and more. People now need to follow a nutritionally good, well-balanced diet in order to survive. According to a WHO research, poor and unbalanced dietary consumption accounts for around 9% of global fatalities from heart attacks and 14% from gastrointestinal cancer. Additionally, 0.2 billion people suffer from iron deficiency (anemia), 0.7 billion people suffer from iodine insufficiency, and around 0.25 billion children suffer from various forms of vitamin.......

Keywords: - KNN, decision tree, random forest, logistic regression, voting classifier

[1]. Płudowski, P., Kos-Kudła, B., Walczak, M., Fal, A., Zozulinska-Zi´ ołkiewicz,´ D., Sieroszewski, P., ... & Misiorowski, W. (2023). Guidelines for preventing and treating vitamin D deficiency: a 2023 update in Poland. Nutrients, 15(3), 695.
[2]. []Pal,´ E., Ungv´ ari, Z., Beny´ o, Z., & V´ arb´ ´ıro, S. (2023). Role of vitamin d´ deficiency in the pathogenesis of cardiovascular and cerebrovascular diseases. Nutrients, 15(2), 334.
[3]. Jiang, Z., Pu, R., Li, N., Chen, C., Li, J., Dai, W., ... & Yang, G. (2023). High prevalence of vitamin D deficiency in Asia: A systematic review and meta-analysis. Critical reviews in food science and nutrition, 63(19), 36023611.
[4]. Marar, O., Senturk, S., Agha, A., Thompson, C., & Smith, D. (2023). The prevalence of vitamin B12 deficiency in patients with type 2 diabetes mellitus on metformin.
[5]. Zhou, A., & Hypponen, E. (2023). Vitamin D deficiency and C-reactive¨ protein: a bidirectional Mendelian randomization study. International Journal of Epidemiology, 52(1), 260-271.

Drowsiness and intoxication are significant contributors to road accidents, posing a serious threat to public safety. This paper proposes a comprehensive system aimed at preventing fatal accidents by proactively alerting tired or emotionally distressed drivers in real-time. The system utilizes cutting-edge technologies to continuously monitor the driver's facial expressions, detecting signs of drowsiness or extreme emotional changes such as anger. Upon detection, the system takes control of the vehicle, initiates emergency measures, and alerts the driver through alarms, ensuring the safety of all occupants.....

Keywords: - Artificial Intelligence, Support vector Machine, Anomaly Detection

[1]. Guede-Fernández, M. Fernández-Chimeno, J. Ramos-Castro and M. A. García-González, "Driver Drowsiness Detection Based on Respiratory Signal Analysis," in IEEE Access, vol. 7, pp. 81826- 81838, 2019.doi: 10.1109/ACCESS.2019.2924481
[2]. Y. Saito, M. Itoh and T. Inagaki, "Driver Assistance System With a Dual Control Scheme: Effectiveness of Identifying Driver Drowsiness and Preventing Lane Departure Accidents," in IEEE Transactions on Human-Machine Systems, vol. 46, no. 5, pp. 660- 671, Oct. 2016.doi: 10.1109/THMS.2016.2549032
[3]. J. Yu, S. Park, S. Lee and M. Jeon, "Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework," in IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 11, pp. 4206-4218, Nov. 2019.doi: 10.1109/TITS.2018.2883823
[4]. Y. Hu, M. Lu, C. Xie and X. Lu, "Driver Drowsiness Recognition via 3D Conditional GAN and Two-Level Attention Bi-LSTM," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 12, pp. 4755-4768, Dec. 2020.doi: 10.1109/TCSVT.2019.2958188
[5]. G. Li and W. Chung, "Combined EEG-Gyroscope-tDCS Brain Machine Interface System for Early Management of Driver Drowsiness," in IEEE Transactions on Human-Machine Systems, vol. 48, no. 1, pp. 50-62, Feb. 2018.doi: 10.1109/THMS.2017.2759808

The feature extraction stage of offline signature verification systems is considered critical and significantly affects the performance of these systems. The quantity and calibration of the extracted features determine the systems' ability to distinguish between real and fake signatures. Using a combination of a Convolutional Neural Network (CNN) and a Histogram of Oriented Gradients (HOG), as well as a feature selection technique (Decision Trees) to isolate critical characteristics, we devised a hybrid approach to feature extraction from signature photos in this research.......

Keywords: - deep learning, offline signature verification, CNN, and HOG.

[1]. F. M. Alsuhimat and F. S. Mohamad, ''Offline signature verification using long short-term memory and histogram orientation gradient,'' Bull. Elect. Eng. Inform., vol. 12, no. 1, pp. 283–292, 2023.
[2]. M. Ajij, S. Pratihar, S. R. Nayak, T. Hanne, and D. S. Roy, ''Off-line signature verification using elementary combinations of directional codes from boundary pixels,'' Neural Comput. Appl., vol. 35, pp. 4939–4956, Mar. 2021, doi: 10.1007/s00521-021-05854-6.
[3]. A. Q. Ansari, M. Hanmandlu, J. Kour, and A. K. Singh, ''Online signature verification using segment-level fuzzy modelling,'' IET Biometrics, vol. 3, no. 3, pp. 113–127, 2014.
[4]. K. Cpałka and M. Zalasiński, ''On-line signature verification using vertical signature partitioning,'' Expert Syst. Appl., vol. 41, no. 9, pp. 4170–4180, 2014.
[5]. K. Cpałka, M. Zalasiński, and L. Rutkowski, ''A new algorithm for identity verification based on the analysis of a handwritten dynamic signature,'' Appl. Soft Comput., vol. 43, no. 1, pp. 47–56, Jun. 2016.

In this research, we propose leveraging Artificial Intelligence (AI), specifically deep learning models, for the automated detection of various types of cancer, including lung, brain, breast, and cervical cancer. We employ Convolutional Neural Networks (CNNs) such as VGG16, VGG19, DenseNet201, MobileNetV3 (both small and large variants), Xception, and InceptionV3, utilizing transfer learning from pre-trained models like MobileNet, VGGNet, and DenseNet. Bayesian Optimization is employed to optimize hyperparameters, ensuring effective model performance. To address potential issues with transfer learning, we implement Learning without Forgetting (LwF), which preserves original network capabilities while enhancing classification accuracy on new datasets.......

Keywords: - Cancer, convolutional neural network (CNN), pretrained models, Bayesian optimization, transfer learning, learning without forgetting, VGG16, VGG19, DenseNet, mobile net.

[1]. Top Opportunities for Artificial Intelligence to Improve Cancer Care. Accessed: Nov. 29, 2021.[Online]. Available: https://healthitanalytics. com/features/top-opportunities-for-artificial-intelligence-to-improve-cancer-care
[2]. M. Subramanian, K. Shanmugavadivel, and P. S. Nandhini, ''On finetuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves,'' Neural Comput. Appl., vol. 34, no. 16, pp. 13951–13968, Aug. 2022.
[3]. M. Subramanian, ''Hyperparameter optimization for transfer learning of VGG16 for disease identification in corn leaves using Bayesian optimization,'' Big Data, vol. 10, no. 3, pp. 215–229, Jun. 2022.
[4]. S. Krishnamoorthy, A. Shanthini, G. Manogaran, V. Saravanan, A. Manickam, and R. D. J. Samuel, ''Regression model-based feature filtering for improving hemorrhage detection accuracy in diabetic retinopathy treatment,'' Int. J. Uncertainty, Fuzziness Knowl.-Based Syst., vol. 29, no. 1, pp. 51–71, Apr. 2021.

This research focuses on the critical global issue of cardiovascular diseases, particularly heart conditions, a leading cause of mortality. Timely prediction is essential, and Electrocardiogram (ECG), a cost-effective and noninvasive tool, plays a pivotal role in monitoring heart activity. To enhance predictive accuracy, this project employs deep learning techniques, specifically transfer learning from neural networks like Squeeze Net and Alex Net, along with a specialized Convolution Neural Network (CNN) architecture. These techniques aim to identify four significant cardiac abnormalities: abnormal heartbeat......

Keywords: - Cardiovascular diseases, Heart conditions, Mortality, Timely prediction, Electrocardiogram (ECG), Deep learning, Transfer learning, Neural networks, Squeeze Net, Alex Net.

[1]. R. R. Lopes et al., "Improving electrocardiogram-based detection of rare genetic heart disease using transfer learning: An application to phospholamban p.Arg14del mutation carriers," Comput. Biol. Med., vol. 131, 2021, Art. no. 104262. [Online]. Available: https://doi.org/10.1016/j. compbiomed.2021.104262 [2]. A. Rath, D. Mishra, G. Panda, and S. C. Satapathy, "Heart disease detection using deep learning methods from imbalanced ECG samples," Biomed. Signal Process. Control, vol. 68, 2021, Art. no. 102820. [Online]. Available: https://doi.org/10.1016/j.bspc.2021.102820 [3]. K. Dissanayake and M. G. Md Johar, "Comparative study on heart disease prediction using feature selection techniques on classification algorithms," Appl. Comput. Intell. Soft Comput., vol. 2021, 2021, Art. no. 5581806. [Online]. Available: https://doi.org/10.1155/2021/5581806 [4]. T. Ozcan, "A new composite approach for COVID-19 detection in X-ray images," Appl. Soft Comput., vol. 111, 2021, Art. no. 107669. [Online]. Available: https://doi.org/10.1016/j.asoc.2021.107669 [5]. A. H. Khan, M. Hussain, and M. K. Malik, "Cardiac disorder classification by electrocardiogram sensing using deep neural network," Complexity, vol. 2021, 2021, Art. no. 5512243. [Online]. Available: https://doi.org/10. 1155/2021/5512243.

Paperwork, middlemen, and verification difficulties abound in the lengthy and tedious process of transferring property ownership, which increases the likelihood of forgeries and undermines trustworthiness. One possible approach is to use blockchain technology to completely revamp the land registration system. Blockchain technology removes middlemen by virtue of its distributed and unchangeable record, which speeds up transactions, decreases the likelihood of corruption, and establishes confidence in the absence of a central authority. Cryptography, consensus mechanisms, and hashing algorithms are the building blocks of blockchain, which guarantees immutable and transparent records of transactions....

Keywords: - Decentralized, Immutable, Blockchain, Security, Land Registration

[1]. Majumdar, M. A., Monim, M., &Shahriyer, M. M. (2020). Blockchain based land registry with delegated proof of stake (DPoS) consensus in Bangladesh. 2020 IEEE Region 10 Symposium (TENSYMP).https://doi.org/10.1109/tensymp50017.2020.9230612. [2]. Mishra, I., Supriya, Sahoo, A., &VivekAnand, M. (2021). Digitalization of land records using Blockchain technology. 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).https://doi.org/10.1109/icacite51222.2021.9404678 [3]. Nandi, M., Bhattacharjee, R. K., Jha, A., &Barbhuiya, F. A. (2020). A secured land registration framework on Blockchain. 2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP). https://doi.org/10.1109/isea-isap49340.2020.235011 [4]. S, K., &Sarath, G. (2020). Securing land registration using blockchain.Procedia Computer Science, 171, 1708–1715. https://doi.org/10.1016/j.procs.2020.04.183 [5]. Shinde, D., Padekar, S., Raut, S., Wasay, A., &Sambhare, S. S. (2019). Land Registry using blockchain - A survey of existing systems and proposing a feasible solution. 2019 5th International Conference on Computing, Communication, Control and Automation (ICCUBEA).https://doi.org/10.1109/iccubea47591.2019.9129289.

This paper presents an innovative solution, the Implementing a Blockchain-Based Evidence Protection system, designed to address critical challenges in contemporary legal and investigative practices. Leveraging blockchain technology, specifically Ethereum, the EPS ensures the integrity, authenticity, and security of evidence throughout its lifecycle. By employing cryptographic methods, timestamps, and smart contracts, the system establishes a tamper-proof, transparent, and decentralized platform for evidence management. Through digital timestamps and distributed ledger technology, the EPS creates an immutable record of evidence, eliminating vulnerabilities associated......

Keywords: - Evidence Protection, Blockchain, Ganache, Metamask, SHA-256

[1]. Smith, John. "The Importance of Evidence Integrity in Legal Proceedings." Journal of Legal Studies, vol. 25, no. 3, 2021, pp. 45-62.
[2]. Jones, Emily. "Challenges in Traditional Methods of Evidence Management." International Journal of Investigative Sciences, vol. 10, no. 2, 2019, pp. 78-91.
[3]. Brown, David. "Vulnerabilities in Conventional Evidence Management Systems." Journal of Digital Security, vol. 15, no. 4, 2020, pp. 102-115.
[4]. Lee, Sarah. "Ensuring Security in Evidence Management: A Review of Current Practices." Journal of Legal Technology, vol. 8, no. 1, 2018, pp. 32-47.
[5]. White, Michael. "Blockchain Technology in Legal and Financial Domains." International Conference on Blockchain Applications, 2022, pp. 205-218

The current system for screening resumes employs a manual process in which recruiters or human resource managers evaluate job applications based on their qualifications, experience, and other factors. By synergizing cutting-edge technology with recruitment needs, we present a dynamic solution an automated resume analysis and skill suggestion platform. To create an innovative Automated Resume Analysis & Skill Suggesting Website utilizing Resume Parser and NLP APIs. By automating the extraction of crucial information such as skills, qualifications, and personal details from resumes......

Keywords: - Natural Language Processing (NLP), Job Applications, Resume Screening, Resume-Parser, Resume Analysis.

[1]. Singh, A. K., & Shukla, P. (2020). "Automated resume screening and evaluation using machine learning techniques". Journal of Intelligent & Fuzzy Systems, 39(4), 5947-5960.
[2]. Oh, J., & Lee, S. (2019). "A study on the extraction of competencies from job postings and their correlation with resumes using natural language processing". Expert Systems with Applications, 115, 475-486.
[3]. Xu, C., Lu, J., Liu, J., & Wei, X. (2021). "Resume screening using deep learning and natural language processing". Knowledge-Based Systems, 215, 106864.
[4]. Bhowmik, R., Garg, N., & Gupta, A. (2021). "Resume Screening Using Semantic Similarity and Clustering Algorithms". In Proceedings of the 2021 3rd International Conference on Communication, Devices and Computing.
[5]. Elakkiya, R., & Muthurajkumar, S. (2021). "Automated Resume Screening System using Semantic Similarity". In 2021 International Conference on Computing, Electronics & Communications Engineering (ICCECE).

Due to its inability to identify small foreign objects, the electrified train system requires a highly accurate detection algorithm to ensure operational continuity and safety. This study presents an enhanced approach called EBSE-YOLO. Along electrified rails, it will help better identify small targets. As a result of using cutting-edge techniques such as ECA-Net to prioritize tiny targets, SPD-Conv to extract details, and EIOU loss function to align dimensions, EBSE-YOLO significantly improves detection accuracy while minimizing computational cost. Results for the proposed technique are excellent after extensive testing with various YOLOv5 configurations and other approaches, including Ghost CNN.....

Keywords: - YOLOv5, ECA-Net, BiFPN, SPD-Conv, EIOU, small target, international.

[1]. Y. Shi, C. Liu, Y. Guo, S. Ye, and S. Shi, ''Measurement system of geometric parameters for overhead line system based on binocular vision,'' Infr. Laser Eng., vol. 43, no. 6, pp. 1936–1942, Jun. 2014.
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[5]. T. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár, ''Focal loss for dense object detection,'' IEEE Trans. Pattern Anal. Mach. Intell., vol. 42, no. 2, pp. 318–327, Feb. 2020, doi: 10.1109/TPAMI.2018.2858826.

This project aims to tackle the cybersecurity challenges prevalent in smart CE networks, recognizing the inadequacy of conventional security measures. Additionally, it addresses the dynamic nature of IoT-enhanced CE networks, which demand adaptable security solutions. This project introduces a pioneering Intrusion Detection System (IDS) tailored for IoT-enabled smart Consumer Electronics (CE) networks. Furthermore, it emphasizes the need for an IDS that can seamlessly integrate into the evolving CE landscape, promoting user-friendly implementation. The IDS leverages.....

Keywords: - Consumer Electronics, Cyber-Attacks, Deep learning, Internet of Things, Intrusion Detection System, Software-Defined Networking.

[1]. C. K. Wu, C. -T. Cheng, Y. Uwate, G. Chen, S. Mumtaz and K. F. Tsang (2022), "State-of-the-Art and Research Opportunities for NextGeneration Consumer Electronics," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2022.3232478.
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[4]. Al Razib, M., Javeed, D., Khan, M. T., Alkanhel, R., & Muthanna, M. S. A. (2022). Cyber Threats Detection in Smart Environments Using SDNEnabled DNN-LSTM Hybrid Framework. IEEE Access, 10, 53015- 53026.
[5]. Yamauchi, M., Ohsita, Y., Murata, M., Ueda, K., & Kato, Y. (2020). Anomaly detection in smart home operation from user behaviors and home conditions. IEEE Transactions on Consumer Electronics, 66(2), 183-192.

The creation of an effective monitoring model is the primary goal of this study, which seeks to alleviate the serious problem of animal assaults experienced by forestry workers and rural residents. In order to enhance safety warnings in woodland regions, the proposed network combines the Hybrid Visual Geometry Group (VGG)-19 with Bidirectional Long Short-Term Memory (Bi-LSTM). Its goals include animal type detection, movement monitoring, and the provision of up-to-the-minute position information. The model outperforms conventional techniques of surveillance by accurately detecting animals and their movement patterns with the integration of VGG-19 for feature extraction and Bi-LSTM........

[1]. S. Aarthi and S. Chitrakala, ''Scene understanding—A survey,'' in Proc. Int. Conf. Comput., Commun. Signal Process. (ICCCSP), Jan. 2017, pp. 1–4.
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The study primarily centers on using machine learning methods to identify fraudulent activities in banking data. This is a critical concern in the financial sector, where it's essential to detect and prevent fraudulent transactions. To improve fraud detection, the study introduces class weight-tuning hyperparameters. These parameters help the model differentiate between legitimate and fraudulent transactions more effectively, enhancing the accuracy of the fraud detection system. The study strategically employs three popular machine learning algorithms: CatBoost, LightGBM, and XGBoost. Each algorithm has unique strengths, and their combined use aims to boost the overall performance of the fraud detection method........

Keywords: - Bayesian optimization, data Mining, deep learning, ensemble learning, hyper parameter, unbalanced data, machine learning.

[1]. J. Nanduri, Y.-W. Liu, K. Yang, and Y. Jia, ''Ecommerce fraud detection through fraud islands and multi-layer machine learning model,'' in Proc. Future Inf. Commun. Conf., in Advances in Information and Communication. San Francisco, CA, USA: Springer, 2020, pp. 556–570.
[2]. I. Matloob, S. A. Khan, R. Rukaiya, M. A. K. Khattak, and A. Munir, ''A sequence mining-based novel architecture for detecting fraudulent transactions in healthcare systems,'' IEEE Access, vol. 10, pp. 48447–48463, 2022.
[3]. H. Feng, ''Ensemble learning in credit card fraud detection using boosting methods,'' in Proc. 2nd Int. Conf. Comput. Data Sci. (CDS), Jan. 2021, pp. 7–11.
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With a particular emphasis on the rapidly expanding field of deep fakes, this in-depth analysis explores the ever-changing terrain of deep learning applications. Innovations in domains such as computer vision, natural language processing, and machine learning have resulted from deep learning's seamless integration. Nevertheless, there is now serious cause for alarm about the proliferation of deep fakes, which are highly edited movies and photos. There are serious dangers in the online world due to the evil uses of this technology, which include revenge porn, financial frauds, celebrity impersonations, and false news.......

Keywords: - Xception, CNN, Deep Learning, InceptionResnetV2, and VGG19 are some of the index phrases.

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This paper proposes a novel approach to address data integrity concerns in cloud computing by integrating blockchain technology. With the vulnerability of cloud services to data manipulation, ensuring the accuracy and trustworthiness of data becomes paramount. By leveraging blockchain's tamper-proof nature, the proposed scheme enhances data integrity within homomorphic encryption frameworks. Through collaborative computations among Cloud Service Providers (CSPs), master hash values are generated for their respective databases. These values are then securely stored in Ethereum blockchain networks, ensuring immutability. The abstract presents a theoretical analysis of the overhead costs associated with creating master hash values across various cryptocurrencies. This innovative fusion of cloud computing and blockchain offers a robust solution to safeguard data integrity, catering to diverse application domains and addressing the evolving threat landscape.
Index Terms: Blockchain, cloud computing, data integrity, homomorphic encryption.

[1]. V. Agarwal, A. K. Kaushal, and L. Chouhan, ''A survey on cloud computing security issues and cryptographic techniques,'' in Social Networking and Computational Intelligence. Singapore: Springer, 2020, pp. 119–134, doi: 10.1007/978-981-15-2071-6_10.
[2]. Cloud Security Alliance. (2017). Security Guidance V4.0. [Online]. Available: https://cloudsecurityalliance.org/download/security-guidance-v4/
[3]. CSA. (2020). Top Threats to Cloud Computing: Egregious Eleven. [Online]. Available: https://cloudsecurityalliance.org/artifacts/topthreatsto-cloud-computing-egregious-eleven/
[4]. R. Kissel, ''Glossary of key information security terms,'' Nat. Inst. Standards Technol., Gaithersburg, MD, USA, Tech. Rep. NISTIR 7298, 2013, Revision 2. [Online]. Available: http://nvlpubs.nist.gov/nistpubs/ir/2013/NIST.IR.7298r2.pdf
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The project investigates the application of blockchain technology, specifically Ethereum-based smart contracts, to develop a distributed e-tendering system aimed at addressing the security implications inherent in traditional procurement methods. Divided into four sections, it focuses on tender creation and publishing, bidding, evaluation, negotiation, and selection of the winning bid. Each phase employs distinct algorithms to ensure efficiency and fairness. By leveraging blockchain's decentralized nature and robust encryption, the system aims to enhance security and transparency.......

Keywords: - Blockchain, Fair and Open Tendering Scheme, smart contract, ethereum, e-tender

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[2]. Ambegaonker, Ajeenkkya, Utkarsh Gautam, and Radha Krishna Rambola. "Efficient approach for Tendering by introducing Blockchain to maintain Security and Reliability." 2018 4th International Conference on Computing Communication and Automation (ICCCA). IEEE, 2018.
[3]. Pal, Om, and Surendra Singh. "Blockchain Technology and Its Applications in E-Governance Services."
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