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1962 articles for “IDS” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Vision Sense Rover
Abstract: This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring. The proposed system is developed to operate without human intervention, using sensor- driven decision making for navigation. The ultrasonic sensor continuously measures the distance to adjacent obstacles, while the servo motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 38–43 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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Experimental Evaluation of Carbon Fiber Reinforced Epoxy Composites for Structural Applications
Abstract: Composites made of carbon fibre reinforced polymer (CFRP) are currently one of the most widely used material classes in advanced engineering applications because of their remarkable environmental resistance, dimensional stability, and strength-to-weight ratio. The vacuum bag moulding method was used in this study to create CFRP laminates with different fiber-to-resin weight ratios: 50:50, 55:45, 60:40, 65:35, and 70:30. The reinforcement phase was made of unidirectional carbon fibre fabric and the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 401–415 Read article
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Understanding India’s Sustainable Land Management Research Landscape: Productivity, Collaboration, and Emerging Themes (2016–2025)
Abstract: Sustainable Land Management (SLM) has emerged as a critical research domain in India due to increasing land degradation, climate variability, population pressure, and competing land-use demands. Understanding the evolution, structure, and impact of scholarly research in this field is essential for guiding future research and policy interventions. This study presents a comprehensive scientometric assessment of India’s SLM research output during the period 2016–2025. Bibliographic data comprising 1,560 records were retrieved …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 17–27 Read article
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Artificial Intelligence and IoT Integration for Real-Time Violence Monitoring
Abstract: The peace and tranquility of any place can be affected greatly by the insurgence of violence and violent attacks that are perpetrated by individuals with malicious and nefarious intentions. These individuals terrorize the areas and can cause a lot of harm and damage to people and public property. The incidences of violence are undesirable and can be problematic to handle by the law enforcement agencies, as these acts are committed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 39–45 Read article
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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article
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Triple-Threat Analysis: Measuring Mythril, Slither and Oyente Against Real-World Smart Contract Vulnerabilities
Abstract: Smart contracts have become fundamental building blocks of blockchain ecosystems, yet their immutable nature makes security vulnerabilities particularly devastating. This pa- per presents a comprehensive evaluation of three prominent static analysis tools—Mythril, Slither, and Oyente—for detecting vulnerabilities in Ethereum smart contracts. Through systematic experimentation with real-world contract categories (voting sys- tems, land registries, and crowdfunding platforms), we quantify the effectiveness of each tool across eight critical vulnerability types, including reentrancy, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Leveraging Standards and Deep Learning Approaches to Secure Internet of Things (IoT) Devices from Cyber Attack
Abstract: The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities. Although this growth offers many advantages, it also makes these devices more vulnerable to cyber threats. High-profile security breaches in Japan have sparked discussions about the requirement for enhanced security measures to protect the rapidly evolving IoT technologies. This study …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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An Automated Smart Contract Repair Framework for Reentrancy, Integer Overflow, and Denial- of-Service Vulnerabilities
Abstract: This paper introduces a novel static analysis framework designed to bridge a long-standing gap in Ethereum smart contract security: the disconnect between vulnerability detection and automated remediation. Although widely adopted tools such as Slither and Oyente are highly effective at identifying security weaknesses, they stop short of providing actionable fixes. As a result, developers manually patch vulnerabilities, a process that is not only time-consuming but also susceptible to human error …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 31–41 Read article
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Advanced Polymer Nanocomposite EEG Electrodes for Enhanced Epileptic Seizure Detection: A Comparative Analysis
Abstract: Electroencephalography (EEG) has been very important in the detection of epileptic seizures so as to enable successful diagnosis, surveillance and therapy of epilepsy. Nevertheless, EEG electrodes based on traditional metals may be limited due to high or high contact impedance, lack of biocompatibility, discomfort to patients and prone to motion artifacts, which interfere with signal quality and diagnostic adequacy. The recent progress in material science has resulted in coming up …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 Read article
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Development of a Novel Analytical Framework for Investigating Non-Symmetric Deformation Behavior in Strip Rolling
Abstract: In recent years, the asymmetrical rolling process has attracted considerable research attention due to its ability to induce non-uniform deformation characteristics within metallic workpieces. In this context, the present study introduces a novel analytical framework for asymmetrical cold rolling based on an enhanced slab method, specifically designed to overcome the inherent limitations of existing analytical models when applied to a wide range of asymmetric rolling conditions. A newly developed mathematical …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 1–21 Read article
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Blockchain-Enabled E-Voting Systems: Implementation Challenges and Opportunities
Abstract: The adoption of blockchain technology in electronic voting systems is increasingly drawing interest because of its ability to enhance transparency, strengthen security, and ensure the reliability of digital voting processes. This study provides a comprehensive study of existing research on e-voting systems that leverage blockchain technology. The study explores various key research concerns, including the advantages, challenges, and impacts of such systems as well as technologies and implementations, and identifies …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 9–15 Read article
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Cybersecurity Early Detection Algorithms for Threats
Abstract: Cybersecurity plays a vital role in protecting digital systems, networks, and data from unauthorized access, misuse, and cyberattacks in an increasingly interconnected world. As reliance on internet-based technologies continues to grow, the frequency and sophistication of cyber threats have also increased, making effective cybersecurity strategies essential. Cybersecurity encompasses a comprehensive framework that integrates technological solutions, organizational processes, and human awareness to ensure the confidentiality, integrity, and availability of information. Key …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 31–37 Read article
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Performance Evaluation of Green Walnut Husk Waste Extract for Inhibiting Aluminium 8088 Corrosion in Acidic Solution
Abstract: The cumulative call for environmental and supportable corrosion inhibitors has obsessed curiosity in exploiting plant-based agronomic surplus resources. Presented research work discovers the corrosion inhibition probable of green walnut husk extract(GWH)—a normal and plentiful agro-waste—on Aluminium 8088 alloy in an acidic medium. Aluminium 8088, however identified for its corrosion resistance, is vulnerable to squalor in highly acidic settings, affectation trials in several industrial claims. GWH extract act as an ecologically …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 44–60 Read article
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Alternative Medicine in Punjab: Gendered Patterns in Efficacy and Safety Outcomes
Abstract: Background: Alternative medicine remains an integral part of healthcare practices in Punjab, India. However, disparities based on gender and regional differences influence its usage, efficacy, and safety outcomes. Objective: To assess gendered and regional patterns in the use, perceived benefits, and safety concerns of alternative medicine among adults in Punjab. Methods: A mixed-methods, cross-sectional study was conducted among 620 adults (300 men, 320 women) from both urban and rural regions …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–12 Read article
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Emerging Digital Trends in Virology Software: Optimizing Viral Discovery, Surveillance,and Patient Management.
Abstract: Virology and antiviral therapeutics are being reshaped by rapid advances in computational tools, automation platforms, and virus-focused digital health applications. Software systems now span the entire virology value chain, from in silico viral target identification and antigen design, to AI-supported clinical trial management for vaccines and antivirals, to post-marketing pharmacovigilance and patient-facing mobile tools. This review examines current and emerging software trends relevant to virus studies, emphasizing applications in viral …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 29–38 Read article
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Nutrition Induced Gut Microbiota Modulation in Food Animals: Implications for Viral Susceptibility, Shedding and Transmission Dynamics for Sustainable Development
Abstract: The gut microbiota has emerged as a central mediator linking host nutrition, immune competence, and vulnerability to viral pathogens in food animals. Diet is a primary driver of microbial community structure and function, influencing metabolite production, intestinal barrier integrity, and systemic antiviral immunity. Accumulating evidence indicates that nutrition induced modulation of the gut microbiota can substantially alter viral susceptibility, replication, and shedding patterns, with downstream effects on transmission dynamics within …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 46–56 Read article
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Multi Objective Optimization of Aluminium (AA6061-SiC-Flyash) Metal Matrix Composites using TOPSIS Method
Abstract: Metal Matrix Composites (MMCs) have significant interest due to their superior mechanical properties, including improved strength, hardness, and fracture resistance. This study investigates the optimization of the mechanical and fracture behaviour of casted AA6061-SiC-Fly Ash (FA) MMCs using the TOPSIS method. Silicon carbide(SiC) and fly ash (FA) reinforcements, with different weight percentages of 5%, 10%, and 15% were fabricated through sand casting method. Total 10 combinations of composites are prepared …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 459–469 Read article
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Alcohol, Circadian Glymphatic Dysfunction, and Neurodegenerative Protein Accumulation: An Emerging Concern in the Indian Context
Abstract: Alcohol consumption has long been identified as a major public health issue, yet its deeper and more subtle effects on the human brain are only now coming into sharper focus. Traditional explanations often emphasize direct neuronal damage, but emerging research in neuroscience suggests a more intricate story. Recent findings indicate that alcohol not only harms brain cells but also disrupts the body’s internal biological clock—the circadian rhythm—which plays a critical …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article