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700 articles for “LAWS – (Lethal Autonomous Weapons”
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A Review on Arduino Based Distance Measurement Device
Abstract: Distance measurement plays a vital role in modern engineering applications such as robotics, defense systems, automotive safety, industrial automation, and assistive technologies. Traditional measuring tools such as rulers and measuring tapes are simple but not suitable for real-time and dynamic environments. On the other hand, advanced technologies such as LiDAR and radar provide high accuracy but involve high cost and complex implementation. This review paper provides a thorough analysis of …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 40–46 Read article
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Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging
Abstract: The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions. This paper presents a self-tuning wireless power transfer system employing deep reinforcement learning (DRL) to optimize power transfer efficiency in real time. Unlike conventional WPT controllers that rely on fixed compensation parameters or predefined control rules, the proposed framework continuously …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Road Maintenance by Pothole Detection and Filling Robot
Abstract: Road infrastructure plays a vital role in ensuring safe and efficient transportation; however, potholes remain a major challenge due to their impact on road safety, vehicle maintenance costs, and traffic flow. Traditional pothole inspection and repair methods rely heavily on manual labor, making the process time-consuming, costly, and potentially hazardous for workers. To address these limitations, this paper presents a Pothole Detection and Filling Robot, an intelligent robotic system designed …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 39–46 Read article
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DESIGN AND DEVELOPMENT OF A POND SURFACE CLEANING ROBOT WITH SOLAR POWER INTEGRATION
Abstract: There has been a significant increase in water pollution with waste products such as plastic waste, leaves, algae, paper waste, and organic waste as a result of the rapid pace of urbanization and wrong waste disposal practices. This results in poor water quality and environmental hazards among others. Conventional systems for cleaning ponds use man-power and fuel-operated machines that are not only labor intensive and time consuming but are not …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 14–21 Read article
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A Reproducible Low-cost Adaptive Cruise Control Platform with Lidar–Ultrasonic Sensor Fusion and Timer-conflict-free Servo-Scanned Blind-spot Detection on Arduino UNO
Abstract: Road traffic deaths caused by driver distraction and inadequate surroundings remain a big problem for preventable deaths. This paper talks about designing and testing an affordable, easy-to-copy Adaptive Cruise Control (ACC) system. It uses LiDAR-ultrasonic sensors to figure out how far things are in front of the car, and a servo-actuated, dynamically scanned blind spot detector. All of this runs on a single Arduino Uno. To measure front distance, they …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 58–70 Read article
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Community Resilience Against Terrorism: Strengthening Social Cohesion to Prevent Radicalization
Abstract: This article explores the critical role of social cohesion and community resilience in preventing radicalization and violent extremism. While traditional counterterrorism strategies have primarily relied on military operations, intelligence gathering, and law enforcement interventions, growing evidence suggests that community-based approaches offer more sustainable and long-term solutions. Drawing on global examples, particularly from Denmark and Indonesia, the study highlights how early intervention, cross-sector collaboration, and the active participation of civil society …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 13–17 Read article
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Self-Healing Graphene–Polymer Nanocomposite Encapsulation Layers for Ultra-Stable Perovskite Photovoltaic Modules under Extreme Environmental Conditions
Abstract: The recent trend is that perovskite photovoltaic modules are vulnerable to moisture, oxygen, thermal cycle, UV, and mechanical stress, which seriously affect the working stability of the modules under harsh environmental conditions, thereby hindering the rapid commercialization. In this study, a new self-healing graphene–polymer nanocomposite encapsulant layer is proposed to improve the durability and reliability of perovskite solar modules in extreme climates. The encapsulation system combines functionalized graphene nanosheets into …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Intelligent Network Slicing and Adaptive Switching for Ultra-Low-Latency 6G Communications
Abstract: The rapid evolution of sixth-generation (6G) wireless communication networks demands intelligent and adaptive network management mechanisms capable of supporting ultra-low-latency, massive connectivity, high reliability, and heterogeneous service requirements. This study proposes an Intelligent Network Slicing and Adaptive Switching (INS-AS) framework for optimizing communication resources and minimizing end-to-end latency in 6G environments. The proposed framework dynamically creates and manages logical network slices according to application-specific requirements, including enhanced mobile broadband, ultra-reliable …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Modern Trends in Tungsten(VI) Analysis: From Smart Organic Reagents to High-Sensitivity Spectrophotometry
Abstract: The present review focuses on the spectrophotometric determination of tungsten(VI) using a wide range of organic reagents and their derivatives. Organic ligands have gained considerable importance in analytical chemistry due to their strong ability to form stable and highly colored complexes with tungsten(VI), which enhances the sensitivity and selectivity of spectrophotometric analysis. Various chromogenic reagents reported in the literature for tungsten(VI) determination have been critically examined and compared on the …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 19–29 Read article
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AI-Optimized Nano-Silica Reinforced PCM Composites for Predictive Solar-Thermal Energy Storage Networks
Abstract: This study presents an AI-optimized nano-silica reinforced polymer composite phase change material (PCM) for predictive solar-thermal energy storage networks. The proposed composite combines paraffin wax, high-density polyethylene (HDPE), and uniformly dispersed nano-silica particles to improve thermal conductivity, structural stability, leakage resistance, and long-term cycling performance. The composite was fabricated through melt blending and ultrasonication-assisted nanoparticle dispersion, followed by comprehensive morphological, chemical, thermal, and thermophysical characterization using scanning electron microscopy (SEM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Control the Robot via Both Voice & Moblie Application in Departmental Information Robot
Abstract: The concept and development of an autonomous, interactive humanoid robot created to deliver college information via voice and mobile application control are presented in this work. To facilitate easy user interaction with the robot, the suggested system combines intelligent control, wireless connection, and speech recognition. The robot is equipped with a 10-inch monitor that provides instructors and students with information about college departments, facilities, and services. Oral responses from a …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 2, 2026 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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To Compare the Anti-Bacterial Activity of Uva Ursi 200 And Cantharis Vesicatoria 200 In Isolated E-Coli of Different Urine Samples by Kirby Bauer Disc Diffusion Method
Abstract: Background: The most common bacterial infections are Urinary Tract Infections (UTI), primarily caused by Escherichia coli (E. coli), a gram negative bacterium responsible for 80-90% of community-acquired UTIs. The rise of antibiotic-resistant E. coli strains has increased the demand for Homoeopathic remedies. This study explores the antibacterial efficacy of Uva ursi 200 and Cantharis vesicatoria 200, using Kirby-Bauer Disc Diffusion Method, by comparing the Zone of Inhibition (ZOI) of those …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2026 Read article
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Harnessing Artificial Intelligence for Precision Physics: A Machine Learning Framework for Data Reconstruction in Support of India's Deep-Tech Missions
Abstract: India's emergence as a global leader in deep-tech innovation is driven by ambitious scientific megaprojects, including the Laser Interferometer Gravitational-Wave Observatory (LIGO)-India, the X-ray Polarimeter Satellite (XPoSat), the Aditya-L1 solar observatory, and the National Quantum Mission (NQM). However, the unprecedented scale and complexity of the observational data generated by these missions present severe computational bottlenecks. Traditional analytical frameworks struggle with non-stationary noise transients, diffusion blurring, and the exponential scaling limits …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 48–55 Read article
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A Five-Layer Architectural Framework for Sustainable and Scalable AI Systems
Abstract: Artificial Intelligence (AI) is not only about algorithms. AI works like a full “stack” of layers, from electricity to real-world user applications. In this paper, we explain a simple and student-friendly Five- Layer Architecture of AI: (1) Energy, (2) Chips, (3) Infrastructure, (4) Models, and (5) Applications. Each layer supports the next layer, like a cake with multiple layers. If any layer is weak, AI systems become slow, costly, or …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence in Trigonometry: Innovations, Applications, and Future Prospects
Abstract: Artificial Intelligence (AI) has transformed numerous scientific fields, yet its integration with classical mathematics such as trigonometry is still emerging. This paper explores how AI enhances trigonometric problem solving, learning, and real-world applications. We analyse AI-driven tools for teaching trigonometry, AI in geometric and spatial reasoning, usage in robotics and computer vision, and future directions for research. Key challenges, methodologies, and case studies are discussed to provide a comprehensive overview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices. Rapid developments in computer vision (CV), machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics have increased the use of AI in a variety of rural industries. In agriculture, AI-driven technologies support precision farming, crop yield prediction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Wastewater Treatment Techniques, Quality Monitoring, and Compliance with Regulatory Standards in Nigeria
Abstract: Innovative wastewater treatment techniques, recycling systems, circular economy, and quality monitoring and enforcement of regulatory standards are vital for sustainable urban water development. This study offers a thorough analysis and review of the literature on wastewater treatment methods in Nigeria, spanning from traditional approaches to cutting-edge technologies like membrane bioreactors, trickling filters, activated sludge systems, anaerobic digesters, and constructed wetlands. It also investigates deeper into the existing quality monitoring systems, …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 23–35 Read article