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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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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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Passive Augmentation Studies in a Double Pipe Heat Exchanger with Ellipsoidal Dimples
Abstract: In this work, the numerical studies of heat transfer augmentation of a counter-current double pipe heat exchanger with ellipsoidal dimples (inward-facing, raised dimples) on the inner tube was performed using SOLIDWORKS software. The effect of dimple depth, dimple pitch and number of dimples/angles between two dimples on heat transfer was investigated at a constant volumetric flow rate of 4 LPM for hot (water) and cold (water) fluids. The effect of …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Design and Implementation of a Bidirectional Long-Range Communication System for Disaster Management Applications
Abstract: In times of natural disasters like earthquakes, floods, landslides and cyclones, the normal communication lines are frequently cut, thus reducing the ability of the affected people and the relief team to communicate vital information. Cellular networks and Internet-based communication systems could be compromised in the event of a loss of power, damage to infrastructure or network congestion. Thus, it is necessary to have a communication system that will be dependable, …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 Read article
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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture
Abstract: Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming modern agriculture by enabling data-driven, resource-efficient, and climate-resilient farming practices. This review critically examines recent advances in AI-IoT integration across crop production, irrigation management, pest and disease surveillance, and supply chain optimization through an analysis of published literature and documented case studies. The review indicates that AI-assisted predictive analytics combined with IoT-based real-time sensing significantly improves decision-making in precision …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Layered Metal–Polymer Hybrid Laminates with Embedded Impact Sensors for Connected Automotive Panels
Abstract: The increasing demand for lightweight, intelligent, and structurally reliable automotive components has accelerated the development of multifunctional hybrid materials capable of simultaneously providing superior mechanical performance and real-time structural health monitoring. In this study, a novel layered metal-polymer hybrid laminate incorporating an embedded flexible impact sensor was developed for connected automotive panel applications. The laminate was fabricated using AA6061-T6 aluminum alloy face sheets and a thermoplastic polyurethane interlayer through hot-press …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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Semiring-Weighted Automata and Recursive Path Counting for Multi-State Reliability in Discrete Infrastructures
Abstract: Multi-state infrastructures such as communication backbones, microgrids, warehouse routing systems, and sensor-actuator pipelines evolve through discrete event sequences rather than through a single binary "working/failed" transition. This paper develops a semiring-weighted automata framework for reliability analysis in which state changes, repair actions, and degraded operating modes are represented by weighted transitions on a finite automaton. A path valuation is defined over an additively idempotent reliability semiring and extended to a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 30–36 Read article
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The Effect of Welding Parameter and Tool Geometry on Mechanical Properties of RZ5-10wt%TiC FSW Joint
Abstract: Friction Stir Welding (FSW) of metal matrix composite (MMC) provides the grain refinement and reinforcement redistribution of the composite used for wide application in aerospace and structural. This wide application needs development of best-suited joining process for MMC which is complicated to unite by the traditional welding process. The paper observed the consequence of the welding parameter and tools’ geometry on the mechanical properties of the friction stir butt welded …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Surveillance Car Using ESP32 CAM with Tilt, Pan, and Zoom Capabilities
Abstract: This project focuses on developing a mobile surveillance robot using a Wi-Fi-enabled module controlled via a smartphone, designed for discreet observation and remote monitoring. The spy robot system includes essential hardware such as a camera, motor drivers, batteries, and wheels for movement. The main component is the AI Thinker ESP32-CAM module, equipped with an ESP32-S processor and OV2640 camera, capable of image storage through its microSD card slot. Live video …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
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Impact of Reinforcement Materials and Processing Condition Optimization in Microstructural Engineering of Polymer Composites
Abstract: Polymer mixtures have gotten a lot of attention because they have a unique set of qualities that make them useful in many situations. But the substructure of these alloys is very important for getting the best performance. It looks at how to improve the microstructure of polymer composites by finding the best support materials and working conditions. The choice of strengthening materials is the first thing that is talked about. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 102–118 Read article
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Harnessing Marine Byproducts and Optimization of Biopolymer Extraction Quality Using Response Surface Methodology and Study of Its Physicochemical Properties
Abstract: Chitosan, a versatile biopolymer derived from chitin, holds immense potential across various industries owing to its antimicrobial, antioxidant, and biocompatible properties. This study aims to optimize the deacetylation process of chitin, sourced from shrimp shells, using Response Surface Methodology (RSM) to produce high-quality chitosan. The Box-Behnken Design (BBD) was employed to evaluate the effects of temperature, time, and alkali concentration on the degree of deacetylation (DD%), a key determinant of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–139 Read article
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Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
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Comprehensive Performance Assessment of Silane-Treated Bio-Extracted Husk Fiber Reinforced Composites for Sustainable Construction Applications
Abstract: This research project is an extensive experimental study on bio-extracted husk fiber polymer composites with a focus on silane surface treatment. Bio-extracted rice husk fibers underwent an alkali-enzymatic hybrid extraction process followed by a 3-aminopropyltriethoxysilane (APTES) treatment for improved interfacial adhesion and matrix compatibility. Resin composites with treated and untreated fibers were fabricated with a weight ratio of 10%, 20%, and 30% via hand lay-up methods. A battery of mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–241 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence
Abstract: The increasing demand for sustainable and autonomous environmental monitoring systems has motivated the development of biologically integrated sensing technologies that combine living organisms with advanced cybernetic intelligence. This study proposes a novel framework of Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence, where living plants act as self-sustaining sensing platforms capable of continuously monitoring environmental conditions without external energy sources. By integrating bioelectrical signal acquisition modules, flexible nanomaterial electrodes, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Copper Sulfide Semiconducting Nanoparticles for Antibacterial Applications: Synthesis Strategies, Mechanisms and Performance – A Review
Abstract: Copper sulfide nanoparticles (CuS NPs) have drawn growing attention as a next-generation antibacterial platform, owing to their tunable structural, optical, and catalytic properties. This review consolidates current evidence on CuS NP synthesis, mechanisms, and antibacterial performance, comparing chemical and green synthesis routes alongside the effects of morphology, doping, and surface modification. Mechanistically, CuS NPs act through several overlapping pathways, including reactive oxygen species generation, bacterial membrane disruption, ion release, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Review on Social Distancing ID Card
Abstract: The frequency of fire accidents in homes, industries, and public spaces has increased due to electrical faults, human negligence, and flammable materials. Traditional fire-fighting systems often depend on human presence and manual intervention, which delays the response time. To overcome this limitation, this project presents an Automatic Fire Extinguisher System based on Arduino and IoT technology for real- time detection and suppression of fire. Gas, temperature, and flame sensors are …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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Psychological Drivers of ESG Investment in the Polymer Sector
Abstract: This research will delve into the mentalities of investors concerning investments in polymer ESG projects. Sustainable investing has become very popular in recent times across the globe. At the same time, the polymer or plastic industry is encountering numerous environmental issues. Plastics make up some 3.3–4.5% of global emissions of greenhouse gases (≈1.8 billion tonnes per year, TPI), and only about 9% of the total production of 400 million tonnes …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Graphene Based Electronic Skin for Wearable Health Monitoring and Human– review on Machine Interaction, Materials, Structures and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article