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1920 articles for “research” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems
Abstract: Reactive power management and optimization are necessary for the effective, stable, and reliable working of modern power systems. Without proper management, reactive power is responsible for additional losses in transmission, reduced capability of power transfer, and poor voltage stability conditions, thus forming a basis for developing advanced techniques of optimization. This paper discusses the innovative methods in Reactive Power Optimization (RPO) using met heuristic algorithms, namely the Self-Balanced Differential Evolution …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article
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Techniques for Congestion Mitigation in Hybrid Electricity Markets
Abstract: In hybrid electricity markets, managing congestion is a crucial issue that impacts market efficiency, grid stability, and the integration ofrenewable energy sources. In orderto efficiently detect and manage crowded zones, this study suggests an enhanced congestion mitigation strategy by introducing the notion of Average Transmission Congestion Distribution Factor (ATCDF). In order to improve grid dependability, the research focuses on integrating Wind Power Generation (WPG) with Battery Energy Storage Systems (BESS) …
Published in Trends in Electrical Engineering · Vol. 15, Issue 3, 2025 · pp. 1–6 Read article
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Building Scalable Microservices with Micronaut, Kotlin, and AWS DynamoDB: A Comprehensive Architecture Study
Abstract: The evolution of enterprise software has trended steadily toward microservice architectures due to their inherent scalability and resilience advantages over monolithic systems. This research explores a comprehensive implementation approach using Micronaut, an innovative JVM-based framework specifically designed for resource-efficient microservices. The study combines Micronaut with Kotlin programming language and leverages AWS DynamoDB as a scalable NoSQL persistence layer, with Apache Kafka providing event-driven communication capabilities. We explore the critical role …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 40–57 Read article
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Advances in Polymer-Modified Concrete using XAI
Abstract: Industry 4.0 technologies are being quickly adopted by the construction sector, opening new avenues for enduring operational and environmental issues. This sector looks at how explainable AI can forecast air and enhance the quality of building materials. XAI, AI, ML, and big data drive a new paradigm in polymeric material development. The effective XAI and ML-assisted design creates innovative, high-performance polymeric materials. It covers building a database and representing structures, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 133–144 Read article
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TensorFlow: Architecture, Applications, and Future Challenges
Abstract: TensorFlow, an open-source machine learning platform created by Google, has revolutionized how artificial intelligence (AI) systems are built and implemented. Designed to support scalable and flexible model training across CPUs, GPUs, and TPUs, TensorFlow enables researchers and developers to construct advanced deep learning models with efficiency and precision. This study provides an in-depth examination of TensorFlow's architecture, including its use of dataflow graphs and tensor-based computation. We explore its adaptability …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 41–50 Read article
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Sensor Technologies in Robotics: A Review of Vision, Tactile, and Proximity Sensing Systems
Abstract: Robotics has undergone remarkable advancements in recent decades, largely driven by the integration of cutting-edge sensor technologies. Sensors serve as crucial for allowing robots to precisely logic, interpret, and react to the world around them. Among the most essential sensor types used in robotics are vision sensors, tactile sensors, and proximity sensors. These technologies strengthen a robot’s capacity for successful navigation, for example, object manipulation, and contact with people and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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Photonic Polymer Composites for Light-Modulating Displays and High-Throughput Optical Data Transmission
Abstract: The combination of PMMA-based composites recently received substantial attention from the photonic applications field since these materials combine excellent optical transparency, mechanical flexibility and straightforward fabrication capabilities. The material performance of pure PMMA requires functional additives because it shows limited thermal properties and optical attenuation in addition to sensitivity against UV rays. The research explores developmental pathways for PMMA composites through combined use of nanoparticles and electro-optic polymers with dopants …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 838–860 Read article
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Mechanical Analysis and Advanced Manufacturing of Eco-Friendly Groundnut Shell Powder Reinforced Epoxy Composites
Abstract: Polymer composites reinforced with natural materials are gaining significant attention because of their eco-friendly nature, cost-effectiveness, and favorable mechanical properties. This research explores the creation and mechanical analysis of epoxy composites strengthened with groundnut shell powder (GSP), exploring both untreated and benzoyl chloride-treated GSP variations. The research emphasizes utilizing agricultural waste material while achieving enhanced mechanical properties through surface modification and advanced fabrication techniques. The composites were manufactured using the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 174–185 Read article
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Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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Parametric Optimization of Aluminum Alloy 6061 Using Wire-EDM for Automotive Applications: A Taguchi-Based Approach
Abstract: Machining hard materials with complex geometries presents numerous challenges, often requiring the use of non-traditional methods such as wire Electric Discharge Machining (EDM). However, wire EDM machines operate at slow speeds, and increasing the speed can negatively impact surface finish, making it a difficult task. The ongoing research investigates the machinability study of Aluminum Alloy 6061 using wire EDM, emphasizing the optimization of process parameters to enhance machining performance and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 293–302 Read article
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Seasonal Variation of VLF Radio wave Signal Strength at 19.8 KHz Received at Khatav India (16o46ʹN, 75o53ʹE)
Abstract: This research is a detailed study of the seasonal behavior of the VLF field strength of the waves transmitted by VLF station NWC Australia (19.8 kHz). This research was carried out by using the VLF Field Strength Monitoring System located at Khatav, India (16°46ʹN, 75°53ʹE) during the period of August 2009 to July 2010. This study explores how the ionosphere and VLF radio waves react to the solar radiation. In …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 1–9 Read article
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Investigation, Fabrication and Testing of Spur Gear Using Composite Material
Abstract: Composite materials constitute one of the favorable, efficacious material zones for tomorrow’s sustainable future through identification of materials with higher strength to weight ratio. A composite material is combination of two or more different materials with varied qualities that work together to create a material that is better than the sum of its parts. Therefore, finding some alternative material for various mechanical applications to accelerate the Indian composite industry is …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 1–8 Read article
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The Role of Simulation and Digital Twins in Enhancing Mechanical Production Efficiency: A Systematic Review
Abstract: In the evolving landscape of smart manufacturing, simulation technologies and digital twin (DT) systems have emerged as pivotal tools for enhancing the efficiency, agility, and sustainability of mechanical production processes. This systematic review investigates how the integration of simulations and DTs contributes to performance improvements across various stages of mechanical manufacturing—ranging from design and process optimization to predictive maintenance and real-time monitoring. While simulations provide the ability to model, test, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 31–36 Read article
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The Impact of Geographical Indications on Sustainable Rural Development: Comprehensive Economic and Cultural Insights from Wayanad, Kerala
Abstract: Geographical Indications (GIs) play a vital role in fostering sustainable rural development by linking unique local products to their geographic origins. This study explores the impact of GIs on economic growth, cultural preservation, and environmental sustainability in Wayanad, Kerala. Drawing from extensive secondary data and detailed case studies including Wayanad Coffee, Jeerakasala Rice, and traditional handicrafts, the research highlights how GI certification enhances market value, improves income levels, and preserves …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 18–29 Read article
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Dynamic Mechanical Analysis of Carbon Fiber Reinforced Polymer Composites
Abstract: This study investigates the thermal decomposition and mechanical properties of Fiber-Reinforced Polymer Composites (FRPCs) using Dynamic Mechanical Analysis (DMA). The research focuses on improving the recycling and recovery process of Carbon Fiber-Reinforced Polymers (CFRPs), addressing environmental concerns regarding their disposal. By analyzing the effects of different heating rates (5°C and 10°C per minute) and atmospheric conditions (nitrogen, oxygen, and a combination of both), the study identifies optimal parameters for maximizing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 386–393 Read article
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Comparative Analysis of Eco Friendly Brick with Red Bricks
Abstract: This research presents a comparative analysis between conventional red bricks and eco-friendly bricks made from mud, rice husk, and dry plant leaves. The aim is to evaluate the potential of using sustainable, low-cost, and locally available agricultural waste materials in brick production as an environmentally conscious alternative to traditional methods. The eco-bricks were manufactured without kiln firing, significantly reducing energy consumption and carbon emissions. A series of laboratory tests—including compressive …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 42–46 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Study of Proximity Points and Fixed Points
Abstract: This paper explores the concepts of proximity points and fixed points, which are fundamental in mathematical analysis and nonlinear functional analysis. Fixed-point theorems play a crucial role in optimization, game theory, differential equations, and dynamic systems. Proximity points, an extension of fixed points, provide a more generalized approach, allowing near-coincidence rather than exact identity. The study discusses classical fixed-point theorems, such as Banach’s contraction principle, Brouwer’s fixed-point theorem, and Schauder’s …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 28–31 Read article
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Ecological, Economic, and Medical Roles of Fungi: Insights from Mycology in Addressing Global Challenges"
Abstract: The large and diverse kingdom of fungi is vital to ecosystems, industry, agriculture, and medicine. Due to its ecological and biotechnological value, mycology has grown in importance. Fungi are crucial to natural systems and human life, decomposing organic materials, developing mutualistic interactions with plants, and producing antibiotics and fermented products. Recent advancements in molecular biology and genomics have significantly enhanced our understanding of fungal diversity, physiology, and evolutionary processes. These …
Published in International Journal of Fungi · Vol. 2, Issue 2, 2025 Read article