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357 articles for “Security Method”
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Prevalence of Sexual Violence and Its Associated Factors Among Female Night Time Students of Junior And Secondary Schools in Mekelle City, Northern Ethiopia, 2013
Abstract: Sexual violence refers to any sexual act directed against a person’s sexuality by any person regardless of their relationship to the victim. Sexual violence is prevalent and is a major public health and human rights problem worldwide. The problem is not different from this in Ethiopia. However, lack of data has hindered full understanding and development of appropriate interventions. The objective of the study was to assess the prevalence of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 4, Issue 2, 2015 · pp. 6–20 Read article
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AI-Driven Handwriting Identification and Verification Using Textural Features
Abstract: The last few decades have seen handwriting recognition and verification earn their mark in areas like forensics, healthcare, education, and digital security. This study delves into the role of artificial intelligence (AI), machine learning (ML), and deep learning techniques in handwriting analysis. It highlights the extraction of textural features as a precursor to identifying narrows between original handwriting and its forgery, whereby a few distinctive patterns such as stroke width, …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 35–44 Read article
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Semiconduction detector for nuclear radiation
Abstract: This articulation has been study of radiation identification method by semiconductor. Radioactive transmutation originated radiation has scoped semiconductor to access energy exchange for generation of electron-hole pair to give rise semiconduction. Otherwise, electron and charged ion has collected to get signal to justify detection constitutive. Deficit of low atomic weight of Si and Ge to use as semiconductor detectors have schemed to secure through thick material preparation. In lieu, accessed …
Published in Journal of Nuclear Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 16–21 Read article
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The Role of Artificial Intelligence in Automating Incident Response in Cloud-Based Cybersecurity
Abstract: As cloud computing continues to gain traction across industries, the complexity and scale of cloud environments present significant challenges to traditional cybersecurity practices. The dynamic and distributed nature of cloud infrastructures necessitates agile and effective incident response mechanisms to detect, analyze, and mitigate threats in real-time. However, conventional incident response methods often fall short due to the growing sophistication of cyber threats and the vast amounts of data generated in …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 15–24 Read article
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Automated Car License Plate Detection and Recognition Using Deep Learning
Abstract: The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement. This research focuses on achieving more accurate and efficient detection and recognition of number plates by leveraging deep learning techniques. The systems outlined in this study aim to improve the effectiveness of ALPR systems using advanced convolutional neural networks (CNNs) and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 23–29 Read article
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The Contribution of Mathematics to Make Developed India
Abstract: This research paper explores the significant contributions of mathematics to the development of India, tracing its influence from ancient innovations to modern applications across diverse sectors. India has a long-standing mathematical tradition, with foundational achievements such as the invention of zero, the decimal system, and advancements in algebra, trigonometry, and geometry, which profoundly shaped global knowledge systems. These early contributions established India as a pioneering hub of mathematical thought and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 08–15 Read article
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BUILDING A SMART CHATTING PLATFORM FOR SOCIAL NETWORKING:”GUFTGU”
Abstract: This research paper details the development of a location-based social networking application with a focus on offline first functionality. Guftgu is a communication application developed using React Native for the frontend and Node.js for the backend. It facilitates seamless, real-time conversations between strangers while prioritizing user privacy through complete anonymity. The platform’s intuitive interface, cross-platform compatibility, and efficient backend architecture enable smooth performance and user engagement. Designed with privacy at …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 32–37 Read article
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Design and Development of Onion Storage Shade for Better Ventilation and Longer Life
Abstract: Onions are one of the most important cash crops for farmers in India and many other countries. However, most harvested onions are lost every year due to improper storage. Traditional storage methods, such as keeping onions in heaps under trees, in closed rooms, or in poorly ventilated sheds, do not provide sufficient airflow. As a result, moisture accumulates, leading to sprouting, fungal growth, rotting, and physical damage. These losses reduce …
Published in International Journal of Trends in Horticulture · Vol. 3, Issue 1, 2026 · pp. 31–41 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Disease: A Major Stumbling Block in the Growth of Aquaculture
Abstract: Aquaculture plays a crucial role in ensuring food security, fostering economic development, and providing recreational opportunities worldwide. However, the intensification of aquaculture practices has led to a surge in environmental challenges, including water pollution, soil acidification, eutrophication, chemical contamination, and the spread of diseases. Among these, diseases caused by bacteria, viruses, fungi, and parasites pose significant threats to the sustainability of global aquaculture. Despite the implementation of various diagnostic methods …
Published in International Journal of Marine Life · Vol. 1, Issue 1, 2024 · pp. 25–28 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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Impact of Groundwater Pollution on Carcinogenic and Non-Carcinogenic Health Effects: A Review
Abstract: Groundwater is a critical source of drinking water in many regions worldwide, particularly in South and Southeast Asia, where dependence on untreated groundwater remains high. However, increasing groundwater contamination poses serious risks to human health. This review synthesizes recent peer-reviewed studies to examine the sources, distribution, and health impacts of major groundwater contaminants, with a focus on both carcinogenic and non-carcinogenic risks. Emphasis is placed on fluoride, nitrate, chromium, and …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 40–46 Read article
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The Method of Electronic Voting on the Basis of Elliptic Curve Cryptography
Abstract: To improve election efficiency, accessibility and accuracy Electronic Voting Systems which use computers to record and tabulate votes are becoming more popular to modernise voting. The Congressional Research Service states that electronic voting has various advantages over traditional paper voting. Electronic voting has made the voting process more accessible. The advancement of technology is to be regarded for the ease of being able to vote from any location. This has …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 1, 2023 · pp. 1–7 Read article
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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 Read article
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Juncture of Nanotechnology and IoT: Novel Era of Connectivity
Abstract: The rapid development of Internet of Things(IoT) has had a profound impact on a variety of industries, enabling unprecedented levels of connectivity and data interchange between devices. Through the introduction of nanotechnology into IoT systems, there are unique prospects to improve performance, decrease energy consumption, and miniaturise components, which ultimately overlays the method for the progress of smart gadgets of the next generation. Through an analysis of significant developments in …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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A Review: Fusion of Face and Iris by using Support Vector Machine
Abstract: AbstractA new approach for personal identification based on the fusion of iris & face recognition is presented in this paper. Biometric innovations are the establishment of the personal identification system. A biometric system recognizes a person based on a few characteristics or forms. This is in many instances watched in the region of security, privacy, and forensics. Even for the great of unimodal biometric systems, it is frequently no longer …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 3, 2018 · pp. 1–10 Read article
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Short-Term Load Demand Forecasting using Chaos Theory and ANFIS
Abstract: In the electrical power sector, forecasting of load demand is an important process for effective planning of future expansion and periodical operations including unit commitments, fuel scheduling, short-term maintenance, security assessments, reducing spinning reserve, reliability analysis etc. Accurate load predictions are also necessary to utilize the electrical energy efficiently and to minimize the conflicts between the demand and supply of electricity. As electric load pattern of a region is very …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 50–57 Read article
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An Optimal Bidding Strategy for Social Welfare Maximization of Microgrid
Abstract: Competition in power markets implies benefit to the generators as well as customer. The uncertain nature of bids and behavior of renewables makes the bidding strategy more complex. The power market comprises of Generation companies (GENCOS), Transmission companies (TRANSCOs) and Distribution companies (DISCOs) which actively participate in the auction process. In this paper, a new bidding strategy for a microgrid in day-ahead market is proposed for social welfare maximization considering …
Published in Journal Of Network security · Vol. 8, Issue 1, 2020 · pp. 11–21 Read article
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Bringing Serverless Edge Computing to School Administration: Challenges and Opportunities
Abstract: Serverless edge computing is revolutionizing app development by creativity in infrastructure management. However, traditional cloud-based serverless architectures can suffer from latency and reliability issues when serving users at the edge of the network. While edge computing brings storage and computing closer to data sources, upgrading performance and reducing network issues. This paper explores the convergence of serverless edge computing, examining the opportunities and challenges that arise from this integration. Delving …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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AI and ML in the Chemical Industry: A Review of Transformative Applications and Future Prospects
Abstract: The chemical industry, a key growth indicator of the global manufacturing ecosystem, is experiencing a digital transformation driven mainly by advancements in Artificial Intelligence (AI) and Machine Learning (ML) in this sector. These technologies are totally revolutionizing current and traditional methodologies by significantly improving process efficiency, reducing costs of manufacturing, accelerating R&D, and improving safety and sustainability standards. Proper utilization of Artificial intelligence (AI) and machine learning (ML) in chemical …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article