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1920 articles for “matrix-assisted laser desorption/ionization time-of-flight” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Swarm-Enabled AI for Smart Mobility and Sustainable Transport
Abstract: The significant issues facing the modern urban infrastructure are the management of road traffic problems, such as severe traffic congestion, the detection of unsafe driving behavior, and road safety. The traditional ground-based surveillance systems will be helpful, but they will reach their limits in large and dynamic environments. It is because of predetermined perspectives, blindness, and the inability to scale. To designate these problems, the present study proposes a traffic …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 33–38 Read article
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Assessment of Hygiene Degradation and Expiry Indicators in Household Bedding Products
Abstract: Household bedding products such as pillows, bedsheets, blankets, and mattresses play a crucial role in ensuring comfort, sleep quality, and overall health. However, prolonged use without timely replacement or proper maintenance can result in hygiene degradation, leading to the accumulation of dust, allergens, microorganisms, and chemical wear. This study aims to assess the factors contributing to hygiene decline and to identify reliable indicators of expiry for common bedding items. The …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 33–47 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Machine Learning for Finding Materials for Membranes
Abstract: Traditionally, finding and improving membrane materials has depended on trial-and-error experiments, which can take a long time, cost a lot of money, and only cover a small area. Recent improvements in machine learning (ML) have the potential to change the way membrane materials are designed by making it possible to make predictions about performance, selectivity, and stability based on data. ML algorithms can find hidden links between the structure, composition, …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Overview AI-Driven Antenna Technologies and Privacy- Preserving Methods for Next-Generation 6G Wireless Systems
Abstract: The next generation of wireless communications, 6G, will be built on the convergence of artificial intelligence (AI) and advanced antenna systems. AI-driven antennas are poised to address the unprecedented requirements for data rate, reliability, adaptability, and ubiquity in future networks. An overview of current advancements in AI-enabled antenna systems for 6G networks is provided in this study. From traditional base station deployments to distributed, cell-free, and user-centric frameworks, it examines …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 28–34 Read article
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IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System
Abstract: Road accidents and vehicle instability caused by skidding, engine overheating, and improper braking behavior remain major concerns in modern transportation systems. This project presents an intelligent vehicle safety and accident detection system that integrates multiple sensors and control logic to enhance driving safety and reduce accident severity. A vibration sensor is employed to detect collision or impact events and accurately identify vehicle accidents. An accelerometer sensor is used for real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 9–19 Read article
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Hybrid Braking System: Electromagnetic + Disc Braking
Abstract: The Hybrid Braking System combines electromagnetic braking and traditional disc braking to enhance vehicle safety, improve braking response, and reduce mechanical wear. This system integrates sensor fusion technologies, including ultrasonic and infrared sensors, to enable adaptive braking based on real-time road conditions. A PID-based control algorithm optimizes braking force distribution, ensuring a smooth and controlled deceleration. Additionally, the incorporation of regenerative braking allows for energy recovery, increasing vehicle efficiency and …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 8–14 Read article
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Pneumatic Operated Engine
Abstract: The increasing awareness of fossil fuel depletion & environmental pollution has accelerated the need for the development of sustainable & eco-friendly alternatives to traditional internal combustion engines. Pneumatically operated engines have been identified as a potential alternative for small-scale mechanical power generation owing to their advantages of zero exhaust emissions, noise reduction & operational safety. This paper describes the design, development & performance analysis of a pneumatically operated engine, which …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Mechanical Characterization of Al6061 Hybrid Composites Reinforced with Boron Carbide and Fly Ash via Stir Casting
Abstract: The growing demand for lightweight, cost-effective, and high-performance materials in structural and automotive sectors has accelerated the development of hybrid metal matrix composites (HMMCs). This study investigates Al6061 alloy as the matrix material, reinforced with varying weight fractions of boron carbide (B₄C), a high-hardness ceramic, and fly ash, an economical industrial byproduct, to assess their synergistic effects on mechanical properties. Hybrid composites were synthesized using the stir casting technique to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1711–1719 Read article
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Body Weight Patterns and Lifestyle Behaviors Among Male College Students in Kangra District, Himachal Pradesh: A Cross-Sectional Study
Abstract: Abnormal body weight in young adults is a major public-health concern, particularly in low- and middle-income settings where undernutrition and excess weight may coexist. The college period often involves changes in diet, physical activity, sedentary behavior, and sleep, all of which influence nutritional status and future disease risk. This study assessed the prevalence of underweight and overweight/obesity among college-aged male students in Kangra District, Himachal Pradesh, India, and examined the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 31–38 Read article
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Design and Analysis of Smart Solar EV Charging System
Abstract: The rising demand for electric vehicles (EVs) has generated an urgent requirement for sustainable and advanced charging systems. This study delineates the design and analysis of an intelligent solar EV charging system intended to reduce dependence on the grid and optimize the utilization of renewable energy. The system incorporates a solar photovoltaic (PV) array, battery energy storage, and an IoT-enabled smart controller to optimize power delivery. A Maximum Power Point …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 06–15 Read article
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Bridging Brain-Inspired Learning and Quantum Reasoning for Future AGI Systems
Abstract: This research paper presents a novel neuromorphic–quantum hybrid computing framework envisioned to advance intelligent systems toward artificial general intelligence. The architecture integrates brain-inspired spiking networks for adaptive, energy-efficient learning with quantum processors for non-classical optimization and reasoning. A shared synaptic–quantum memory layer enables dual information representation, while neuromorphic adaptive controllers provide real-time stabilization of noisy quantum circuits. While quantum processors offer features like superposition- enabled exploration and entanglement-based correlations that …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Fire Safety in Healthcare Facilities: An Indian Perspective
Abstract: Fire protection and safety measures in hospitals are of utmost importance to ensure the safety of patients, staff, and visitors. Due to the patients' limited mobility, hospitals are more susceptible to fire disasters. Short-circuits, basements being used as storehouse, inappropriate storage of flammable liquids, improper power supply load, false ceiling panel lined with thermocol, faulty electric wirings, and overheating leading to burning of wires are some of the common causes …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 8–12 Read article
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Performance Enhancement of COC-Modified LLDPE Films: Optimization of Stiffness, Tear Resistance, and Barrier through Plasma Surface Modification
Abstract: This study explores the development of high-performance packaging materials by blending commodity Linear Low-Density Polyethylene (LLDPE) with engineering cyclic olefin copolymer (COC) as a performance modifier. To leverage the processability of LLDPE alongside the structural rigidity of COC, blends were prepared at various weight ratios (95/05, 90/10, 85/15, and 80/20) using twin-screw melt extrusion, followed by the production of films and sheets via blown film extrusion and compression molding. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 128–143 Read article
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Fabrication of Polydimethylsiloxane Composites with Nickel Nanoparticles: Unification and Current–Voltage Relationship
Abstract: Polydimethylsiloxane (PDMS)–nickel nanoparticle (NiNPs) nanocomposite films were fabricated and systematically investigated to understand their electrical transport behavior through current–voltage (I–V) characterization. Nanocomposite films with varying Ni nanoparticle filler concentrations (14.88 wt%, 15.77 wt%, and 16.65 wt%) were prepared using a solution-mixing and spin-coating technique, followed by controlled thermal curing. The electrical properties of both pristine PDMS and PDMS– NiNPs nanocomposites were examined over a wide voltage range (up to 800 …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 1, 2026 · pp. 22–29 Read article
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The Role of AI-Powered Assessment Tools in Improving Educational Feedback in Nigeria
Abstract: Educational systems in Nigeria face a persistent challenge in delivering high-quality, timely, and personalized feedback, due primarily to large class sizes, heavy teacher workloads, and reliance on traditional assessment methods. This study investigates the potential of integrating Artificial Intelligence (AI)-powered assessment tools to overcome these systemic barriers and improve the quality of educational feedback within the Nigerian secondary school context. Employing a quantitative cross-sectional survey design, data was collected from …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 31–41 Read article
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Efficacy of Educational Intervention on Knowledge Regarding High-Risk Pregnancy and Its Management in Terms of Knowledge Gain Among Antenatal Women
Abstract: Background: High-risk pregnancies are associated with increased maternal and fetal complications and require timely identification and proper management. Many antenatal women have limited knowledge regarding high-risk conditions and the necessary precautions. Structured teaching programs can significantly improve awareness and empower mothers to take proactive steps for safe pregnancy outcomes. Aim: To assess the effectiveness of a structured teaching program on knowledge regarding high-risk pregnancy and its management among antenatal women …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Comprehending Ancient Wisdom of Ayurveda: Unveiling Phytochemistry and Molecular Mechanisms of Rasayana Medicine
Abstract: Rasayana medicine is an integral part of ancient medical system of India. In Sanskrit ‘rasayana’ refers to “path of essence” and serves as one of the eight clinical specialties of classical Ayurveda. Rasayana focuses on restoring health by replenishing vital fluids of human body. According to Ayurveda, our physical body constitutes of seven dhatus called ‘Sapthdhatu’, sapth-seven and dhatu-tissues or microchannels. These channels are the pathway through which vital nutrients …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 59–67 Read article
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Assessment of The Impact of Online Learning Platforms on Academic Motivation
Abstract: Since the COVID-19 pandemic, online learning platforms have become an integral component of higher education systems worldwide. Digital platforms such as Google Classroom, Zoom, Moodle, and Microsoft Teams have transformed the way students access educational content and interact with instructors. While these platforms offer advantages such as flexibility, accessibility, and diverse multimedia resources, their influence on students’ academic motivation remains a critical concern. The present study aims to assess the …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 13–18 Read article
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Polymer Composite Nodes for Smart IoT Environmental Monitoring: Applying ML-Calibrated RF Sensors for Exceptionally Low-Power, Flexible, and Dependable Performance
Abstract: The quick usage of the Internet of Things (IoT) for monitoring the environment needs sensor platforms that are accurate, responsive, adaptable, energy-efficient, and able to work in many different conditions. This work presents polymer composite nodes equipped with machine learning (ML)-calibrated radio-frequency (RF) sensors that adhere to stringent criteria. Sensor substrates built of flexible polymer matrices with conductive fillers are strong, light, and flexible enough to fit on surfaces that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1205–1221 Read article