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840 articles for “comparative analysis”
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Robust Access Control Mechanisms Using VHDL Programming for IoT Security
Abstract: The Internet of Things (IoT) devices are increasingly becoming targets for criminal actors. A compromised device can result in data breaches, denial-of-service attacks, and even physical damage. While software-based security solutions are important, they are susceptible to attacks and often impose significant overhead, negatively impacting both performance and battery life. A viable alternative is provided by hardware-based security, which takes advantage of the inherent security benefits that are associated with …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 6–1`9 Read article
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Development of an Anti-Slip Mechanism for Enhanced Seat Belt Safety
Abstract: A seat belt on the other hand is a safety feature that is an integral part of any vehicle that has the sole responsibility of holding passengers in case of any abrupt deceleration. However, it is important to note the fact that normal seat belts tend to slide off during the times of serious accidents and this can compromise the safety of the passengers. Present work is aimed at design …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 3, 2025 · pp. 1–13 Read article
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Adaptive Task Scheduling And Resource Optimization Using Ai Middleware
Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that are able to learn, to forecast and reaction to the real red conditions in the system. The middleware of artificial-intelligence is also an attractive …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Study of Binary Systems Based on Butadiene-Terephthalate Rubber and Astragals and Its Rheological Properties
Abstract: Study of binary systems based on butadiene-terephthalate rubber and Astragals and it In this work, Nano sized astragals was used for the first time to modify butadiene terephthalate rubber. For this purpose, compositions were prepared to study the properties of butadiene terephthalate rubber with different astragals contents of 1, 3 and 5 mass parts. Their results were compared with the control composition without nanoparticles. The presence of astragals and its …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 153–169 Read article
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Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
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Analytical and Statistical Analysis of Reinforced Concrete Frame Structure Subjected to Blast Loading
Abstract: Blast loading represents one of the most hazardous and destructive forces that structures may encounter throughout their life span. Understanding and mitigating the effects of such loading is crucial for ensuring the safety and resilience of buildings. This study focuses on analyzing the behavior of reinforced concrete (RC) frame structures when subjected to blast loading, with the aim of informing more robust and resilient building designs. The research specifically examines …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 84–91 Read article
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Effect of Turn-on Angle Variation on Performance of the Switched Reluctance Motor
Abstract: Stepper motors, brushless DC motors and switch reluctance motors emerged in the last few decades and these motors are finding applications in the various fields depending upon the demand. Switched reluctance motors have 6-4, 8-6 and 10-8 stator pole-rotor pole construction available. These motors work on the principle of reluctance. In this paper, analysis is carried out for 6 stator pole, 4 rotor pole switched reluctance motor. The parameters like …
Published in Trends in Electrical Engineering Read article
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Approach to Examine the Effect of Atomic Number on Single – Electron System of Group III Elements
Abstract: This study investigates the ionization energy, kinetic energy, and mass relationships among Group III elements (Boron, Aluminum, Gallium, Indium, and Thallium) to provide a comprehensive understanding of their atomic and physical properties. A detailed analysis of ionization energy trends reveals that Boron exhibits the highest ionization energy, while Thallium has the lowest, consistent with periodic trends influenced by increasing atomic radius and electron shielding. Gallium deviates slightly from this trend …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 01–09 Read article
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Management of Green Composite for Clean and Green Energy Conversion with Thermal Analysis: Fiber Reinforcement Composites
Abstract: Using green composite materials helps people identify better, more environmentally responsible options to synthetic polymers. Depending on the state of the material and additions, green composites that are used for clean energy are lighter than ordinary metals that carry heat quickly. These methods test fiber-reinforced composites in diverse conditions using heat analysis and then do a thorough method analysis. The composites have a polymer matrix that is healthy for the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 900–905 Read article
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Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
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Phytochemical profiling and LC/MS analysis of Selaginella bryopteris (L.) Baker
Abstract: Selaginella bryopteris (L.) Baker, an endemic pteridophyte is found restricted to the Indian subcontinent mostly because of its environmental requirements of cool temperatures and optimum water availability. It is a drought-resistant species and shows curling in limited water supply reviving when water conditions are restored. This property makes this species a suitable plant for exploration of medicinal properties, although its restricted occurrence has limited this evaluation. The current study explores …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 1, 2025 · pp. 46–51 Read article
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Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
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Light-Dark Cycle Disruption in Hypothalamus Tissue of Mus Musculus Causes Change in the Expression of Gm45928 Gene
Abstract: The majority of organisms on earth display consistent 24-hour rhythms in their physiology and behavior due to circadian biology. Light and dark cycles play a key role in setting our internal body clock, which controls things like our sleep patterns, hormone levels, body temperature, and metabolism. The disruption of the light-dark cycle has significant effects on the molecular and behavioral rhythms of the circadian clock of hypothalamus. Gm45928 is a …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 32–46 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Virtual Machine Cost & Computing comparison between cloud service
Abstract: Cloud computing has revolutionized enterprise IT infrastructure with virtual machines forming the cornerstone of Infrastructure as a Service deployment. This study provides a detailed comparative evaluation of virtual machine pricing and computational performance among three leading cloud computing platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Through quantitative analysis of current pricing data from September 2025, independent performance benchmarks from Cockroach Labs 2021 Report, and market …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 2, 2026 Read article
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A Comparative Study Between GSM and CNN to Develop Gesture Detection Based Alert System for Women Safety
Abstract: Women’s safety is a pressing issue in today’s world, and technology can play a crucial role in addressing it. This project introduces a facial expression recognition device that uses Convolution Neural Network (CNN) technology and develop it’s comparison with an expression system with use of GSM is done. Unlike traditional methods relying on manual activation or dedicated devices, this system reacts instantly to threatening situations by recognizing predefined gestures, ensuring …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 24–30 Read article
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Experimental Analysis of Glass Fiber Composite on Low Velocity Impacts
Abstract: This research specifically deals with determining the retained tensile strength after loading Glass Fiber Reinforced Polymer (GFRP) composites following low-velocity impact. The purpose is to determine the degree to which these impacts affect the structural performance and mechanical integrity of GFRP materials. Experimental tests were conducted on glass fiber composite specimens in order to observe variation in tensile strength upon impact. The results indicated significant tensile strength reduction in impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 789–796 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Synthesis and Characterization of Sustainable, Low-Cost, Biomass-Derived Carbon Films from Hevea Brasiliensis (Rubber) Wood for Environmentally Friendly Gas Sensors with Enhanced Selectivity and Sensitivity to Polar Vapors and Hazardous Gases
Abstract: Hevea brasiliensis (rubber) wood sawdust was utilized to fabricate carbon gas sensors for detecting 1000 ppm of ethanol, methanol, acetone, carbon dioxide, and ammonia gases. The carbon particles were prepared by phosphoric acid impregnation followed by thermal activation and then fabricated into films on conductive and non-conductive substrates using the doctor blade method. X-ray diffraction (XRD) analysis revealed distinct graphitic features with peaks at the (002) and (100) planes, indicating …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 22–36 Read article
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Evaluating the Usability and Effectiveness of Desktop Voice Assistants on Windows Operating Systems
Abstract: This paper presents an in-depth empirical study of usability and effectiveness regarding the use of desktop voice assistants in Windows operating systems. While a lot of research has been done on mobile-based assistants like Siri and Google Assistant, or smart speaker platforms like Amazon Alexa, desktop-based assistants remain comparatively under-explored. A total of 176 participants were surveyed to analyze their experiences with DVA in usability, multitasking, accuracy, accessibility, and overall …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article