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483 articles for “Applications” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Next Generation Sequencing (NGS) in Personalized Medicine: Emphasizing Public Health Beyond Reality
Abstract: NGS is a modern technology that allows researchers to quickly sequence large amounts of DNA or RNA, it is also known as massively parallel sequencing or deep sequencing. NGS has revolutionized genomic research and biological sciences by its speed, scale, accuracy, ultra-high throughput, and cost. NGS replaced the conventional sequencing method. A novel idea in healthcare is precision medicine, which involves adjusting medical care to each patient’s unique traits and …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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CRISPR-Cas9: Revolutionizing the Genetic Frontier
Abstract: The rapid development of CRISPR/CRISPR-associated enzyme (Cas) technology has enabled truly customised treatment of human genetic disorders, paving the way for recent developments in the field of gene therapy. Because CRISPR/Cas can accurately target and edit individual genes within a genome, it has established itself as a formidable tool for genetic manipulation. CRISPR/Cas9 technology allows for precise editing of specific DNA sequences in an organism's genome. This method uses three …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Fungal-derived Nutraceuticals & Bioactive Compounds with Physiotherapeutic and Health- promoting Properties: A Comprehensive Review
Abstract: Fungal-derived nutraceuticals represent a rapidly expanding field in biomedical research, offering a rich source of bioactive compounds with diverse therapeutic applications. This comprehensive review examines the physiotherapeutic and health-promoting properties of fungal metabolites, including polysaccharides, terpenes, proteins, peptides, alkaloids, fatty acids, vitamins, and minerals. Fungi produce over 9,000 bioactive compounds from approximately 22,500 microbial metabolites, with less than 5% of the fungal kingdom explored [1] . The major bioactive constituents …
Published in International Journal of Fungi · Vol. 2, Issue 2, 2025 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
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Offloading Computation to the Cloud
Abstract: Mobile devices are increasingly relied upon for complex and resource-intensive applications such as real-time video processing, augmented reality, and machine learning. However, their limited computational power, storage capacity, and battery life pose significant challenges. Computation offloading to the cloud has emerged as a promising solution to overcome these limitations by transferring demanding tasks from mobile devices to remote cloud servers. This approach enables improved performance, reduced energy consumption, and enhanced …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 27–37 Read article
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5G and up to 6G
Abstract: The 5th generation of mobile networks is called 5G, and the next generation, 6G is expected to arrive soon. With the promise of faster speeds, less latency, and increased connectivity, 5G technology has revolutionized mobile communications. However, the 6G vision is already taking shape as the need for high-performance networks keeps increasing. By offering ultra-high-speed communication, smooth artificial intelligence (AI) integration, extensive Internet of Things (IoT) connectivity, and support for …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 01–06 Read article
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Fabrication and Multi scale Characterization of Functionally Graded Composites Reinforced with Hybrid Ceramic–Metallic Phases
Abstract: Using composite materials as functionally graded composites (FGM) can improve its excellent material properties. In this work, magnesium peroxide, silicon carbide, and aluminum are used to create four-layer FGMs. The sintering process, which blends the particles of each material using a powder methodology, has been used to complete the fabrication process. Three factors, including sintering time, sintering temperature, and compacting pressure, are taken into account when fabricating FGM. The FGM …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 1–11 Read article
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Photochemical Materials for Light-responsive Optical Switching: AI-optimized Design of Dynamic Visual Effects
Abstract: This paper presents an in-depth investigation into the design and behavior of photochemical materials that generate optical illusions and dynamic visual effects through light-induced molecular transformations. The study focuses on advanced photoresponsive compounds such as azobenzene and spiropyran derivatives, emphasizing their reversible optical transitions governed by photoisomerization, phase transitions, and photochromism in solid-state and polymeric matrices. Spectroscopic and kinetic analyses are employed to evaluate the influence of light wavelength, material …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 13–27 Read article
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Flaws and Defects in Crystals
Abstract: Crystalline materials are defined by their long-range atomic order; however, no real crystal is completely free from imperfections. This article provides a comprehensive overview of the various types of crystal defects and imperfections that occur in solid materials and their significant influence on material properties. Point defects, including vacancies, interstitials, and substitutional atoms, are examined alongside line defects such as edge and screw dislocations, as well as planar defects encompassing …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 1–15 Read article
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Piezoelectricity: For Power Generation
Abstract: Undeniably, piezoelectric materials are an exciting possibility for serving as a workable energy source; the question is whether technologies at this point in their development are ready for wide-scale application. This requires considering their value in the real context of modern urban environments and ecological conditions. A critical literature review has been carried out in this paper for the identification of the most successful piezoelectric generation techniques that have been …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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Webpage Extraction and Retrieval Chatbot
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Studies on the Antioxidant Content and Antimicrobial Activity of Cucumber (Cucumis sativus) Peels Collected from Bagmari, Kolkata, West Bengal, India
Abstract: Cucumber (Cucumis sativus) is widely consumed across the globe, yet its peels are commonly discarded as waste, despite possessing a wealth of bioactive compounds. Recent studies have highlighted that these peels contain substantial amounts of antioxidants, antibacterial, anti-inflammatory, and anticarcinogenic properties, making them a promising candidate for value-added applications. In this study, methanolic extracts (80% v/v) of cucumber peels were systematically analyzed to assess their total phenolic content (TPC), total …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 · pp. 6–14 Read article
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Study to Assess the Effectiveness of Teaching Program on Knowledge Regarding Management of Patients with Regenerative Orthopedics Procedures Among Orthopedic Nurses at Selected Orthopedic Departments
Abstract: Regenerative therapy is an emerging treatment approach in medical science. It focuses on the use of stem cell therapy, biological treatments, tissue engineering, platelet-rich plasma, prolotherapy, and nutraceutical supplements to replace or restore dysfunctional structures or organs. Regenerative therapy emphasizes the body’s natural healing process; it supports physiological healing mechanisms and repairs damaged tissues. It is a minimally invasive approach with expanding applications across various medical fields, including surgery, degenerative …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 7–11 Read article
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Navigating the Antenna Frontier for Emerging IoT Technologies
Abstract: Internet of Things (IoT) is rapidly transitioning from niche applications to a pervasive, interconnected fabric of intelligent devices, demanding unprecedented levels of performance, reliability, and miniaturization from its constituent components. At the heart of this revolution lies the antenna, the crucial interface between the digital and physical realms. This paper delves into the intricate and evolving landscape of IoT antenna design, specifically addressing the unique challenges and opportunities presented by …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Optimized Hardware Realization of AES for High-Throughput FPGA Platforms
Abstract: The Advanced Encryption Standard (AES) is the predominant symmetric-key cryptographic algorithm used for securing digital communication across embedded systems, IoT devices, cloud infrastructures, and defense networks. Although software-based AES implementations offer flexibility, they often fail to meet the high-speed, low-latency, and energy-efficient requirements of modern real-time applications. Reconfigurable hardware platforms such as Field-Programmable Gate Arrays (FPGAs) provide a powerful alternative by enabling architectural customization, intrinsic parallelism, and optimized hardware acceleration. …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 11–22 Read article
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How small circuits power big technology in the world of VSIL
Abstract: Very Small Integration Level (VSIL) circuit technology represents an emerging class of ultra- compact, low-power electronic design methodologies that enable the creation of highly efficient and scalable systems. This article explores the fundamental principles behind VSIL circuits, including device miniaturization, optimized layout strategies, adaptive power management, and noise-resilient architectures. We also look into the methodical engineering of VSIL circuits to satisfy the ever-tougher performance, robustness, and long- term energy-efficiency demands …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 44–53 Read article