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1974 articles for “uses and applications” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Gesture-Based Cursor Control: A Comprehensive Review of Techniques and Applications
Abstract: Although hand gesture detection for man-machine interfaces has advanced recently, many systems still have issues with background and lighting. We have developed a rapid motion history image-based system to categorize dynamic hand motions and a face detection method to adaptively detect skin color. For the up, down, left-, and right-hand gesture classifiers, four sets of haar-like directional patterns were trained. To operate different household appliances, six hand gestures were defined, …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 9–13 Read article
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Investigation and Concerns on the Mechanics Behind Grain Refinement During ECAP Operation with Applications to Polymers
Abstract: Materials science and engineering have studied Equal Channel Angular Pressing (ECAP) grain refining. This abstract discusses important findings and concerns about grain refining mechanics during ECAP.A adaptable severe plastic deformation method; ECAP refines grain patterns in many metallic materials. Many researches have attempted to understand this phenomenon's complex mechanisms. Microhardness and microstructure (morphology) of AL alloy increase with the increase in pass numbers. It is observed that the mechanical property …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 1–11 Read article
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Experimental Investigation of Micro-Hardness & Tribological Behavior of Composite Coating for Wear Resistance Application
Abstract: The author effectively created a composite coating with enhanced durability utilizing the HVOF technique in this investigation. The automobile business has encountered fierce worldwide rivalry, rapid technical breakthroughs, and strict regulatory regulations in recent year.. Producers of lubricants, gasoline additives, and worldwide original equipment manufacturers (OEMs) are striving to address the difficulties presented by changing consumer preferences and emerging energy conservation and environmental protection regulations. We have successfully created and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1097–1103 Read article
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Poisson’s Ratio in Stone Dust and Steel Fiber Reinforced Composite Concrete: A Theoretical Approach
Abstract: Poisson's ratio characterizes a material's deformation under load, offering insights into its structural behavior. Yet, there's a lack of research on SDSFC's Poisson's ratio, hindering its widespread adoption. This study aims to fill this gap by investigating SDSFC's Poisson's ratio under various curing conditions and material compositions. By analyzing how curing methods and material components influence Poisson's ratio, we can better comprehend SDSFC's behavior under different circumstances. Additionally, we'll explore …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 88–94 Read article
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Aspergillus Oryzae: Multifunctional Powerhouse Revolutionizing Food Industries and Gut Health
Abstract: Aspergillus oryzae, commonly known as “Koji mold,” is a filamentous fungus extensively utilized in various food industries due to its robust enzymatic activity and generally recognized as safe (GRAS) status. This review explores its diverse applications, focusing on its role in fermented food production, enzyme generation, and contributions to gut health. In the production of fermented foods, such as soy sauce, miso, and sake, A. oryzae serves as a crucial …
Published in International Journal of Fungi · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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Adaptive Routing Protocol to Optimize the Quality of Service of MANET Using Neural Network
Abstract: A MANET is a group of mobile nodes that create a temporary network without relying on centralized administration or standard supporting devices, often functioning as a conventional network. These dynamic environments present significant challenges for traditional routing and switching protocols, particularly in delivering Quality of Service (QoS) benchmarks such as bandwidth, latency, packet delivery ratio, and robustness. This study proposes an Adaptive Routing Protocol (ARP) leveraging Neural Network (NN) techniques …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Rauwolfia Serpentina: A Comprehensive Phytochemical Study of Its Bioactive Metabolites
Abstract: Rauwolfia Serpentina is an important medicinal plant used in Ayurveda, Unani, and folk medicine system of medicine. This plant grew as a bush in company of other plants as an evergreen structure. It is commonly known as ‘Sarpaghanda’. in Ayurvedic and Unani medicine system. It is safe and effective for the treatment of snakebites and various types of disease like malaria, breast cancer, prostate cancer, high blood pressure, insomnia, epilepsy, …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 25–50 Read article
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Global Supply Chain Agility Through ERP Systems: A Decision Support Model for Emerging Economies
Abstract: In today’s highly dynamic and interconnected global markets, supply chain agility—the capacity to sense environmental changes and respond rapidly and effectively—has emerged as a critical success factor. This is particularly significant for firms operating in emerging economies, where market volatility, infrastructural limitations, policy uncertainties, and resource constraints pose persistent challenges. Enterprise Resource Planning (ERP) systems, with their ability to integrate cross-functional processes, centralize data, and provide real-time decision-making support, offer …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 31–37 Read article
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Experimental Study on the Tensile Performance of Carbon Fiber Composites Reinforced with Titanium
Abstract: This research investigates the influence of titanium incorporation on the tensile and flexural behavior of carbon fiber‑reinforced polymer (CFRP) composites, with the goal of advancing their overall mechanical performance. This study investigates the effect of titanium incorporation on the tensile behavior of carbon fiber‑reinforced polymer (CFRP) composites to enhance their overall mechanical performance. The work aims to improve the structural efficiency of CFRP laminates by introducing titanium as a filler …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1729–1737 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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Pharmacogenomics in Anesthesia: Case Studies and Clinical Applications for Personalized Care
Abstract: Pharmacogenomics, the study of how genetic variability influences individual responses to medications, is transforming anesthetic practice by enabling personalized care. This case study collection explores the integration of pharmacogenomic insights into anesthesia management, highlighting its impact on safety, efficacy, and patient outcomes. Adverse reactions to anesthetics often arise from genetic polymorphisms that alter drug metabolism or sensitivity. For instance, patients with RYR1 mutations are susceptible to malignant hyperthermia (MH) when …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 85–91 Read article
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Advancements in graphene reinforced metal matrix composites: A comprehensive review
Abstract: The Present pollution norms insist automobile manufacturers to make use of ultra-high specific strength materials i.e., materials ahead of conventional metal matrix composites (MMCs) with micro-sized reinforcements. With the advent of nanomaterials, nanocomposites are being developed with properties that overcome the limitations for metals or composites with micro-sized reinforcements. In recent years, the family of graphene-based materials, in particular, graphene nanoplatelets (GNPs) reinforced MMCs offering promising solutions to revolutionize the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 177–189 Read article
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Diversity of Agaricaceae (Basidiomycota: Agaricales) in Dharampur and Kaprada Taluka, Valsad District: A Taxonomic Study
Abstract: The fungal diversity of Dharampur and Kaprada Taluka in Valsad District, Gujarat, India, particularly within the Agaricaceae family, has been extensively studied. According to a standard reference text, the Agaricaceae contains 85 genera and 1340 species. Agaricaceae fungi, categorized as macrofungi, are prevalent in this region and are notably utilized by local tribal communities for culinary purposes due to their edibility. The life cycle of Agaricus is cyclic beginning with …
Published in International Journal of Fungi · Vol. 1, Issue 1, 2024 · pp. 51–62 Read article
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A review on micro hot embossed Fresnel lenses
Abstract: Background: Micro replication techniques like HE allows for the large-scale manufacturing of the micro components which use polymers like Polymethyle methacrylate, Polycarbonate, polystyrene as the work material. In the hot embossing process, key parameters include applied pressure, temperature during heating, duration of embossing, and temperature during demolding. Research Objectives: Developing straightforward and affordable methods to produce the micro featured molds needed for the hot embossing is a significant research goal. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 8, 2024 · pp. 12–28 Read article
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Zn Doped CuO Nanoparticles for Increasing the Longevity of The Agricultural Products †
Abstract: Nanotechnology is an enabling technology at the service of mankind. Indeed, enhancing the long-term storage of agricultural products (post-harvest during transportation and storage) in general and apples and tomatoes, in particular, is a challenge. Zn-doped CuO is a proven nanomaterial with special ability to kill plant pathogens as well as a variety of microorganisms (bacteria, virus, and fungus). Much of the review is focused on the landmark papers published by …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 14–29 Read article
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An Insightful Study on SMEDDS Challenges and Potential Strategies
Abstract: Self-microemulsifying drug delivery systems (SMEDDS) have gained attention as an effective approach to enhance the bioavailability of poorly water-soluble drugs. They are innovative lipid-based formulations designed to enhance the solubility, bioavailability, and therapeutic efficacy of poorly water-soluble drugs. The development of SMEDDS involves systematic selection of components based on solubility and emulsification efficiency, followed by optimization of ratios using pseudo-ternary phase diagrams. The resulting formulations are evaluated for droplet size, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 311–334 Read article
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Comparative Analysis of Natural and Synthetic Fibre-Reinforced Composites: Mechanical Properties, Processing, and Sustainability Considerations
Abstract: The development of fibre-reinforced composites has significantly advanced engineering applications due to their excellent strength-to-weight ratio, corrosion resistance, and versatility. Synthetic fibres such as glass and carbon provide superior mechanical performance, but their production is energy-intensive and environmentally harmful. Natural fibres, including jute, flax, banana, and hemp, offer biodegradability, lower cost, and sustainability benefits, though they often fall short in strength and durability. Hybrid composites frequently demonstrate improved performance by …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 77–95 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Design and Implementation of a Four-Port DC to DC Converter for a Hybrid Energy System
Abstract: A four-port DC-DC converter has been developed for integrating a hybrid energy from renewable sources system into an AC microgrid. This converter is particularly suitable for AC microgrid applications that require system-level power management. It boasts a straightforward design, making it effective for interfacing sources with varying voltage and current characteristics. The converter is created to connect a battery bank, a photovoltaic (PV) panel, a wind turbine, and an inverter, …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 47–60 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article