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370 articles for “Network analysis”
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Heart Disease Evaluation Through Echocardiography Using CNN, ResetNet50, VGG16, and Image Processing
Abstract: Heart conditions stand out as primary contributors to untimely mortality among adults aged 30 and above, notably among those grappling with elevated cholesterol levels and diabetes. Detecting such ailments often necessitates the use of an echocardiogram, providing an intricate portrayal of the heart. However, precise analysis hinges on both the proper functioning of the echocardiogram apparatus and the proficiency of a skilled radiologist, a condition not always met. Manual scrutiny …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 25–35 Read article
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Psychological Determinants of Farmers’ Adoption of Sustainable Practices: A Behavioural Approach to Agricultural Extension
Abstract: Sustainable agriculture has emerged as a global priority to balance productivity with environmental conservation. Yet, adoption of sustainable practices by farmers remains uneven, shaped not only by economic incentives but by underlying psychological and behavioural factors. This review explores the psychological determinants influencing farmers’ willingness to adopt sustainable agricultural practices across traditional and modern contexts. Drawing upon behavioural theories such as the Theory of Planned Behaviour and the Diffusion of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 101–109 Read article
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Manufacturing Processes and 3D Printing of Health Diagnostic Tools: Economic Analysis of Open Source Frameworks
Abstract: Health diagnosis tools, for example, the incorporation of 3D printing into their manufacturing, drastically changed medical technology, providing cheap, customizable, fast tools in the field. This transformation has been accelerated by open-source frameworks that decrease dependence upon proprietary manufacturing and increase accessibility to diagnostic tools. Economic benefits of open-source 3D printing include reduced production costs, less dependence on global supply chains, and better equity of access to health care globally. …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 43–46 Read article
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Comparative Study of Facial Spoofing Detection using CNN Architecture
Abstract: Facial recognition systems face a high risk of security breach due to various facial spoofing attacks. This challenge was addressed by the study of several deep learning models. This study proposes an idea to detect facial spoofing using deep learning architecture to differentiate live faces form various types of spoofed images/videos using different CNN models. In addition, the study seeks to strengthen security measured in facial recognition system demonstrating that …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 9–17 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Adaptive Traffic Control Systems: Enhancing Urban Mobility through Real-Time Traffic Management
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These devices dynamically modify signal …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 37–45 Read article
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Wired for Mobility: Investigating Routing Protocols and AI Integration in MANETs
Abstract: Nodes in Mobile Ad Hoc Networks (MANETs), which operate without a fixed infrastructure, communicate wirelessly in a dynamic and demanding environment. In these kinds of situations, routing becomes essential to guaranteeing effective data transfer. The dynamic topology and shifting network conditions of MANETs present challenges for traditional routing protocols. The blending of routing protocols with Artificial Intelligence (AI) techniques has become a viable way to improve MANET performance in recent …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 31–36 Read article
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Impact of Polymer Chemistry on Population and Land Use Pattern to Identify Black Spot
Abstract: The incorporation of polymer chemistry has become more essential in the design and upkeep of roadways, greatly improving their strength, adaptability, and overall effectiveness. The use of polymers in road building mainly focuses on the alteration of bitumen (asphalt) and the creation of novel pavement materials. The roads are one of the best and most suitable modes of transport for every person in India, but in this highly populated country, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 540–548 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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An Analysis of Graph Database in Data Modelling and Analysis for a Recommendation System
Abstract: This research work focuses on graph databases, mainly Neo4j databases, in recommendation systems for e-commerce websites. The importance of research is that it explains how graph databases efficiently handle the complex relationship between user-items, which is difficult for traditional databases. Sparsity, limited diversity, and high setup costs are the challenges traditional databases face. This research work overcomes these problems using Ne04j with Cypher query language and graph algorithms (PageRank, Shortest …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 33–39 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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Smart Weather Monitoring Station
Abstract: Climate change and the environment have been in attention lately. Therefore, it is essential to track the real-time weather conditions of one location from a different one. The Internet of Things (IoT) plays a crucial role in measuring these parameters by utilizing sensor networks that cover the surrounding environment. The Internet of Things is the next miracle of the Internet that will change the lifestyle of the people. It extends …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 36–44 Read article
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Deep Learning -Based Dental Issue Detection
Abstract: Dentistry is vital for preserving oral health, a key component of overall wellness. Early identification of dental issues is crucial for effective treatment and avoiding further complications. Conventional approaches to diagnosing dental problems typically depend on physical examinations and visual assessments by skilled professionals, which can be both time-intensive and influenced by individual judgment.In recent years, the application of deep learning algorithms has demonstrated significant potential in automating and enhancing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 18–23 Read article
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Deciphering Th-Related Gene Interactions in Chronic Spontaneous Urticaria: Bioinformatics Insights and Drug Affinity Exploration
Abstract: Objective: There has been a great deal of interest in how inflammatory dermatosis and The cell interact, but the etiopathogenesis of chronic spontaneous urticaria (CSU) is still inadequately comprehended. Through bioinformatics techniques, the purpose of this work is to elucdate the molecular mechanism underlying Th-related genes in CSU and seeks to find the highest affinity drug. Methods: The CSU RNA expression profiling dataset provided the basis for the investigation. The …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 1–15 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Navigating the Cyber World: An In-depth Analysis of Internet Usage, Risks, and Influences on Adolescents
Abstract: This study surveyed aged 10 years and up to learn more about their online habits. In order to learn more about the online habits of this group, the survey asked questions regarding the frequency, duration, and motivations for respondents' time spent online. The study also looked at high-risk behaviours like excessive screen time, increased social media use, and extended gaming sessions as possible indicators of problematic internet use. Indicators of …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 19–25 Read article
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A Study on the Athletic Age Profiles of Olympic Sprint Competitors
Abstract: This study aimed to determine the potential athletic age of male Olympic sprinters in the 100-meter event and to assess the dominance of various continents in relation to athletes' age at debut, peak performance, retirement, and competitive career span. Data were collected from the top eight finalists in the 100-meter event across Africa, Asia, Europe, North America, and South America, covering the Olympic Games from Moscow 1980 to Tokyo 2020. …
Published in Recent Trends in Sports · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article