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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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Automatic Bluetooth Controlled Shutter System Using Microcontroller and Mobile Application
Abstract: Automation has become an essential part of modern engineering system. Manual shutter systems used in shops, garages, and industries require physical effort and time. To overcome these limitations, wireless control systems using Bluetooth technology have been developed. Bluetooth-based automation systems allow communication between smartphones and embedded systems. These systems are widely used due to their low cost, low power consumption, and ease of integration. This paper focuses on designing a …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Development and Analysis of General-Purpose Drone
Abstract: In recent years, drones have become indispensable tools across various industries, thanks to their versatility and wide-ranging applications. The fabrication of drones is a complex process that integrates multiple engineering disciplines, including mechanical design, electrical systems, aerodynamics, and software development. The meticulous design of the drone's frame, taking into account factors such as weight, durability, and aerodynamic efficiency, marks the commencement of the fabrication process. The paper presented a comprehensive …
Published in Journal of Aerospace Engineering & Technology Read article
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Recent Advancements and Layering Techniques in Nanoparticle-Reinforced Hybrid Composites: A Comprehensive Analysis
Abstract: This review examines the advancements in nanoparticle-reinforced fiber composites, focusing on natural fibers, synthetic fibers, hybrid composites, and fiber metal laminates (FMLs). Nanoparticles such as SiO₂, TiO₂, Al₂O₃, and graphene, introduced at 0.5–3% volume, have significantly enhanced mechanical, thermal, and wear properties. Comparative studies reveal that hybrid composites reinforced with 1–2% nanoparticles show a 20-30% increase in tensile strength and a 15-25% improvement in thermal stability compared to non-reinforced composites. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 83–89 Read article
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Effect of Surface Modification on Properties of Kevlar/Epoxy Polymer Composites
Abstract: In this study, a high-performance Kevlar/epoxy polymer composite was prepared using a hand lay-up technique. The Kevlar fiber was treated with calcium chloride/ethanol solution (CaCl2/EtOH) to enhance the interfacial interaction between the fiber and the epoxy matrix. The optimization of fiber surface treatment and fiber content for the best tensile strength (TS) of Kevlar/epoxy polymer composite was achieved using Box-Behnken design (BBD) through response surface methodology (RSM). Three parameters: CaCl2 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 35–46 Read article
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An overview on the Medicinal Value of Leeches
Abstract: The present article highlights on the medicinal value of leeches. Leech belongs to phylum Annelida have played a significant role in ancient medicine for centuries, with their therapeutic and medicinal applications dating back to ancient human civilizations such as those of Egypt, Greece, and India. Historically, incidences shows it associated with blood letting, leeches were believed to restore balance to the body’s humors. In recent times, new experiments are being …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article
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Role of the Surgical-Ward Nurse in Identifying, Escalating, and Managing Postoperative Anastomotic Leak in Colorectal Patients: A Narrative Synthesis in an Australian Nursing Perspective
Abstract: Purpose: Postoperative colorectal anastomotic leak (AL) is one of the most feared complications after colorectal surgery because of its association with sepsis, reoperation, mortality, prolonged hospital stay, delayed adjuvant therapy, and permanent stoma formation. This narrative practice review outlines the frontline role of surgical-ward nurses in the early identification, escalation, and interim management of AL within the Australian acute-care context. Methods: A narrative synthesis of contemporary consensus statements, systematic reviews, …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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Digitally Tunable Dual-Phase Polymer–PCM Composites for IoT-Based Adaptive Thermal Management in Smart Buildings
Abstract: This study presents the design and development of digitally tunable dual-phase polymer–phase change material (PCM) composites for advanced thermal management in smart building applications. The composite is based on a hybrid polymer matrix comprising thermoplastic polyurethane (TPU) and a crosslinked polyvinyl alcohol (PVA) gel, reinforced with paraffin microencapsulated PCM and hydrated salt PCM to achieve multi-stage thermal energy storage. The polymer composite architecture enables enhanced structural integrity, high encapsulation efficiency …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 147–157 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Comprehensive Study on the Mechanical And Tribological Response of Waste Tyre Rubber–Natural Fiber Hybrid Epoxy Composites
Abstract: Research into the mechanical and tribological characteristics of Prosopis juliflora-fiber reinforced epoxy-matrix composites with recycled tyre rubber particles is the focus of this investigation. Making use of old tire rubber and bio-reinforcing with fibers from the common invasive plant Prosopis juliflora are the goals of the two-reinforcement technique. The end goal is to produce long-lasting, cost-effective engineered composite materials with improved performance. A constant epoxy resin matrix was used to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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SYNTHESIS, CHARACTERIZATION AND BIOMEDICAL APPLICATIONS OF A SILVER NANOPARTICLE-COATED CHITOSAN–FUCOIDAN POLYMER NANOCOMPOSITE LOADED WITH PERSEA AMERICANA LEAF EXTRACT
Abstract: Consuming a natural composite of Persea americana (Avocado) leaf extract and a chitosan and fucoidan form a biodegradable biopolymer matrix–polymer nanocomposite with biomedical applications, this study explored a potential therapeutic method. GC-MS and UV spectroscopy were used to describe the aqueous leaf extract, which was verified by phytochemical screening to contain flavonoids, tannins, phenols, terpenoids, and alkaloids. The chitosan–fucoidan biodegradable polymer matrix served as a biocompatible stabilizing and encapsulating carrier …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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In-Situ Polymerized GO/PANI Composites: Structural Evolution, Optical Modulation, and NH₃ Sensing at Room Temperature
Abstract: Graphene oxide (GO)/polyaniline (PANI) composites with varying PANI contents (20, 40, and 60 wt%) were synthesized via in-situ oxidative polymerization and systematically investigated for their structural, morphological, optical, and gas-sensing properties. X-ray diffraction (XRD) confirmed a progressive increase in interlayer spacing and partial exfoliation of GO layers with increasing PANI content, indicating intercalation-assisted hybridization. Fourier transform infrared (FTIR) spectroscopy revealed the characteristic vibrational bands of both constituents and confirmed strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Ultrasonic Dispersion of Halloysite Nanotubes for Enhanced Mechanical, Thermal, and Morphological Performance of Epoxy Composites
Abstract: Halloysite nanotube (HNT)-reinforced epoxy nanocomposites were prepared by mixing HNT with bisphenol-A epoxy (LY 556) using ultrasonication, followed by compression molding. HNT contents of 0–5 wt.% were used. The composites were evaluated for tensile strength, flexural strength, Shore D hardness, Izod impact strength, and thermal stability using thermogravimetric analysis (TGA). The fractured tensile surfaces were also examined to understand the failure mechanism and interaction between HNT and the epoxy matrix. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition Read article
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Surveillance Drone
Abstract: In today's society, surveillance is becoming increasingly important in order to maintain a place's decorum and assure the safety and security of its inhabitants. In this case, an aerial monitoring system will be beneficial. This study explains how an unmanned aerial vehicle (drone) can be used to create an aerial surveillance system. We begin by describing the elements of our airborne surveillance system, followed by a discussion of some of …
Published in Recent Trends in Programming languages Read article
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Mobile Cloud Computing–Implementation Problems and Solutions
Abstract: Mobile Cloud Computing (MCC) Has Been Introduced as A Potential Technology With Explosive Growth Developing mobile applications and cloud computing language concepts. From Mobile to the Cloud. The objective is to remove the obstacles associated with storage, bandwidth, diversity, and security. To Get Rid of Computing Loads of Mobile Devices Loading execution shipping technique is recommended for the migration process between machines. Offloading Exec In which area of the code …
Published in Journal of Mobile Computing, Communications & Mobile Networks Read article
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Detection of Brain Tumors from MRI Images Based On Development of Thinking Computer Systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing Read article
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An Energy efficient routing algorithm for heterogeneous Wireless Sensor Network
Abstract: Wireless sensing network is con- sisting of sensors and sink that is self- organized and infrastructure less network. En- ergy plays a very important role for the life- time, coverage and connectivity of network. In this paper, proposed protocol has two level heterogeneous wireless sensor network in which Residual Energy and distance of node from base station in which every sensing ele- ment node is taking into account to maximize …
Published in Recent Trends in Sensor Research & Technology Read article