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24 articles for “memory safety”
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AI-Assisted Programming, Memory Safety, Multi-Paradigm Design and Emerging Development Models
Abstract: As the field of artificial intelligence (AI) continues to evolve at a fast pace, and specifically with the rise of large language models (LLMs), the software design, implementation, testing, and maintenance landscape has undergone unprecedented transformation. Although programming languages are still the main language for writing computational logic, the way developers interact with programming languages is now increasingly mediated by AI-based tools. Current AI coding systems can help with code …
Published in Recent Trends in Programming languages · Vol. 13, Issue 2, 2026 · pp. 43–50 Read article
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TRACE: Tracking the Loss of Memory Provenance in LLM Agents
Abstract: AI agents that carry memory across sessions gain better personalization and decision-making, but this persistence opens a serious security gap. When an agent repeatedly condenses earlier interactions into compact “lessons,” the trail linking each lesson back to the interaction that produced it gradually fades. We term this effect Reflective Attribution Collapse (RAC): the progressive loss of provenance and forensic traceability that results from repeated memory reflection. Under RAC, a malicious …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 33–49 Read article
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Innovations in Polymer Chemistry for Smart Composite Materials in Building Applications
Abstract: Driven by the need to reduce maintenance costs and environmental impacts, researchers have developed smart polymers that not only sense damage but also autonomously respond to external stimuli such as temperature, mechanical stress, and light. In the built environment, these advanced polymers—particularly shape memory polymers (SMPs)—offer unique self-healing, self-sensing, and adaptive properties that enhance the durability, safety, and energy efficiency of structures. The emergence of smart polymers marks a significant …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 699–707 Read article
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Efficacy and Safety of stress-away: A Multiherbal Formulation in the Treatment of Stress and Anxiety
Abstract: Anxiety disorders are the most common mental illness in the US and affect 40 million adults. Generalized anxiety disorder, on its own, affects 6.8 million adults, with women twice as likely to be affected as men. Herbal medicine has been around for thousands of years, humans have been using spices on their foods as far back as 50,000 B.C. Whether one is suffering from a lifelong illness of stress and …
Published in Research and Reviews: A Journal of Medicine · Vol. 10, Issue 1, 2020 · pp. 18–23 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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Self Healing Material: An Introduction
Abstract: Self-healing materials have emerged as a transformative innovation for sustainable infrastructure and advanced applications such as wearable electronics and smart transportation systems. These materials possess the intrinsic ability to repair damage autonomously or with minimal external intervention, thereby extending service life and reducing maintenance costs. Inspired by biological systems, self-healing mechanisms are broadly classified into extrinsic approaches, such as microcapsule and vascular networks based healing, and intrinsic mechanisms involving reversible …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 604–611 Read article
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Innovative Applications of Smart Materials in Aviation: A Comprehensive Review
Abstract: Smart materials are transforming the aviation industry by offering innovative solutions that enhance performance, safety, and sustainability. The use of smart materials can enhance the efficiency, safety, and longevity of aerospace structures by sensing, responding, and adjusting to environmental changes in real time. The objective of this review is to examine how smart materials can be used in aviation, especially in the field of sensor networks, control systems, and structural …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 114–132 Read article
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Thermo-Responsive Polymer Blends for Minimally Invasive Medical Procedures
Abstract: Thermo-responsive polymer blends have become a key new class of biomaterials for the minimally invasive medical procedure. They offer precision, flexibility and greater patient safety. These smart materials undergo a change of physical/ mechanical properties relative to temperature difference in the body, limiting tissue trauma and increasing effectiveness of the procedure. Their adjustable sol-gel behavior, shape-memory effects and reversible volume change provides an opportunity for their precise delivery through catheters, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Real-time Emotion-aware AI Counseling System with Memory Retention Polymer Composites
Abstract: The availability of mental health services is still a major barrier, with many individuals constrained by financial limitations, social stigma, and a shortage of accessible counselors. This work introduces an emotion-aware AI counselor designed to provide empathetic and personalized emotional support via voice-based interfaces. The system leverages Natural Language Processing (NLP) and sentiment analysis to detect emotional cues from speech and generate contextually appropriate, comforting responses. A key innovation is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1395–1407 Read article
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AI Based Electrical Safety and Predictive Maintenance System
Abstract: This review examines twenty research papers on artificial intelligence (AI), Internet of Things (IoT), condition monitoring, fault diagnosis and predictive maintenance, with emphasis on their relevance to electrical safety. Electrical equipment such as induction motors, contactors, transformers, batteries and renewable-energy systems can develop abnormal conditions that lead to unexpected shutdowns, equipment damage or unsafe operation. Conventional maintenance based only on fixed schedules or after-failure repair may not identify every developing …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article
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Smart Card Based Lineman Safety
Abstract: As maintenance workers and electrical substations are being repaired, there are more electrical mishaps involving linemen today. Contact with overheated wires is the most frequent reason for electric shock and electrocution in the workplace, but there are other factors as well. When transporting equipment like poles and ladders, this happens when people underestimate the height of the ground and overhead wires. Not separating electrical supply is another common cause of …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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Moving Aid System for Elderly and Blind Safety Protection
Abstract: In order to help visually impaired person, the proposed work presents a smart aid navigation system. The arrangement detects obstacles via an infrared proximity based detecting system and sends back a vibro-tactile or buzzer feedback. We have made an insightful use of visually impaired people’s habitual support, i.e. white cane, and a sensor module is properly fixed on a light weight cap to acquire an exact information about obstacles (near …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 1–5 Read article
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Homeopathy: A Comprehensive Review of Efficacy, Mechanisms, and Controversies
Abstract: Homeopathy is a widely used alternative medical system based on principles established by Samuel Hahnemann, including “like cures like” and potentization Despite its popularity, homeopathy remains controversial due to the highly diluted nature of its remedies, which often contain no detectable molecules of the original substance. This article provides a comprehensive review of the clinical efficacy, proposed mechanisms, and ongoing controversies surrounding homeopathy Clinical studies yield mixed results, with some …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 1, 2025 · pp. 25–32 Read article
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A Comprehensive Review of Efficacy, Mechanisms, and Controversies
Abstract: Homeopathy is a widely used alternative medical system based on principles established by Samuel Hahnemann, including "like cures like" and potentization. Despite its popularity, homeopathy remains controversial due to the highly diluted nature of its remedies, which often contain no detectable molecules of the original substance. This article provides a comprehensive review of the clinical efficacy, proposed mechanisms, and ongoing controversies surrounding homeopathy. Clinical studies yield mixed results, with some …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 01–14 Read article
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Neurotoxic Effects of Chronic Arsenic Exposure Among Leather Tannery Workers in Kanpur
Abstract: Chronic arsenic exposure is a known health risk, with potential neurotoxic effects. In industrial settings like leather tanneries, workers are particularly vulnerable due to prolonged exposure to chemicals, including arsenic. This study aims to investigate the neurotoxic effects of chronic arsenic exposure among leather tannery workers in Kanpur, focusing on symptoms of neurological damage and related health outcomes. To evaluate the prevalence of neurotoxic symptoms among leather tannery workers in …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 39–46 Read article
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Kisunla (Donanemab): A Novel Breakthrough Illuminating a Path to Better Alzheimer’s Outcomes
Abstract: Background: Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by cognitive decline, memory loss, and loss of independence. Despite decades of extensive research, disease-modifying treatments have been limited in success. Recent therapeutic advancements have led to the development of monoclonal antibodies targeting amyloid-beta (Aβ) plaques, particularly the pyroglutamate-modified variant, a key pathological hallmark of AD. Objectives: This review aims to explore the therapeutic potential of Donanemab (Kisunla), a novel …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 37–45 Read article
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Human Skin Abnormality Detection with Process Similarity Criteria Fit Machine Learning Method
Abstract: This method presents a machine learning method that satisfies the defined conditions for healthy waterside beach activities. The boundary conditions of the normal and abnormal radiation spaces were formulated. The objectives of using a Regression Polynomial with Process Similarity Criteria Fit for skin temperature prediction are justified by the analysis of the existing analytical and machine learning approaches. An algorithm for skin temperature prediction using the theories of similarity criteria …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article