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1045 articles for “U-net”
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PI and Fuzzy Logic Controller Based Analysis of Load Frequency Control for Thermal-nuclear Hybrid Energy Systems
Abstract: In this paper a two-area system: area-1, which has a thermal power plant, and area-2, which contains a nuclear power plant. By combining these domains, two area thermal-nuclear systems are developed in the MATLAB Simulink framework. To ensure the quality of power generated and to feed the load, generation should be raised in tandem with the growth in load demand, or the network should be connected. Using various controllers, LFC …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 1–9 Read article
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A Secured Architecture of Internet of Things (IoT) in the 5G Age
Abstract: Internet of things (IoT) is a technology capable of connecting vast number of devices of many types worldwide via the internet using unique IP addresses. The connected devices can communicate ubiquitously anywhere, anytime for any given user. Such globally distributed networks require a high level of connectivity among its components like smart sensors, workstations as well as networking devices. Thankfully, with the aid of the recently emerged 5G technology, which …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 33–43 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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Kinetics of Crystallization and Microstructural Evolution of Commercial Fluorophlogopite Machinable Glass- Ceramics in the System SrO∙4MgO∙Al2O3∙ 6SiO2∙2MgF2 with Varying in B2O3
Abstract: Glass materials based on fluorophlogopite stoichiometry with varying concentrations of B₂O₃ were synthesized using the melt-casting method, followed by heat treatment at different crystallization temperatures. The resulting glass and glass–ceramic samples were characterized using differential thermal analysis (DTA), scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared (FT-IR) spectroscopy. Kinetic analysis revealed that the activation energies required for the formation of glass–ceramics were 192.77 kJ mol⁻¹ and 210.47 kJ …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 1–16 Read article
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Studies on Zooplankton Diversity of Manar Reservoir with Selected Physico-Chemical Parameters, Maharashtra
Abstract: Freshwater reservoirs in India are increasingly exposed to anthropogenic pressures, such as agricultural runoff, domestic sewage discharge, and water level fluctuations, which significantly influence nutrient dynamics and aquatic ecosystem stability. Biomonitoring using plankton communities provides an effective approach for evaluating ecological health, as these organisms respond rapidly to changes in physico-chemical conditions. The present investigation was carried out to assess the environmental status and trophic condition of Manar Reservoir, located …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 20–30 Read article
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Smart and adaptive cutting-edge IoT based implementation for remote environments
Abstract: In remote, mountainous, or snow-covered regions, mobile networks and GPS signals usually become unreliable, which creates major challenges for search and rescue (SAR) operations. To overcome the issue, this paper presents a compact, low-power, voice-activated wearable device that integrates LoRa communication with a TinyML-based keyword detection system. The proposed device enables individuals to send signals in areas where GPS coverage is unavailable. Using the Received Signal Strength Indicator (RSSI), the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Today’s Status of Digital Resources in Medical College Libraries
Abstract: Digital resources have become integral to the advancement of medical education and research, enabling access to current scientific evidence, clinical guidelines, e-books, e-journals, and multimedia learning tools. Medical college libraries worldwide are transitioning from traditional print repositories to hybrid digital knowledge hubs. This transformation is driven by the evolution of Information and Communication Technology (ICT), rising expectations of learners and educators, institutional mandates for evidence-based practice, and the diffusion of …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 85–94 Read article
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MXene-Infused Conductive Nano-Polymers for Edge-Computing Enabled Flexible Environmental Monitoring Devices
Abstract: MXene-infused conductive polymer composites have emerged as highly promising materials for next-generation flexible environmental monitoring devices because they combine electrical conductivity, mechanical flexibility, analyte sensitivity, and compatibility with low-power electronics. In this work, a Ti₃C₂Tₓ MXene–TPU/PVA conductive nano-polymer composite was developed as a multifunctional sensing platform for edge-computing enabled environmental monitoring. The composite was fabricated by dispersing MXene nanosheets into a thermoplastic polyurethane/poly(vinyl alcohol) (TPU/PVA) matrix, coating the conductive precursor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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CNN-BILSTM Architectures for Handwritten Signature Verification: Insights and Innovations
Abstract: Verifying handwritten signatures is essential for identity authentication to guard against fraud and guarantee security across a range of platforms. The approaches and developments in handwritten signature verification are examined in this review, with an emphasis on both offline and online techniques. While online methods use dynamic information like stroke order and speed, collected by specialized devices, offline verification uses scanned photographs of signatures. Even if technology is moving toward …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 43–50 Read article
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The Role of IoT and AI in Advancing Wastewater Treatment Plant Efficiency
Abstract: Wastewater treatment facilities, or WWTPs, are essential for protecting the environment and human health because they clean wastewater before it is released into natural water bodies. The operational effectiveness and efficiency of WWTPs have undergone a significant transformation as a result of the integration of smart technology for real-time monitoring and control. This review looks at new developments in smart technologies that are being used in WWTPs, including data analytics, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 28–33 Read article
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Innovative Approaches in Design and Materials for Climate-adaptive Transport Infrastructure
Abstract: This comprehensive research delves into pioneering approaches in design methodologies and the utilization of advanced materials aimed at significantly enhancing the resilience of transportation infrastructure against the multifaceted and escalating impacts of climate change. As critical challenges such as sea-level rise, increased frequency and intensity of extreme weather events, and changing precipitation patterns become more prevalent, there is an urgent need for innovative materials and integrated design strategies that can …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 14–19 Read article
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The Future of Domestic Convenience: An In-depth Review of IoT-enabled Smart Home Technologies
Abstract: This paper explores a design for a smartphone-controlled smart home automation circuit built around the ESP8266 microcontroller. The ESP8266, known for its Wi-Fi connectivity, is the heart of the circuit, enabling communication with a cloud platform and receiving user commands from a mobile application. Based on user commands received through the app, the ESP8266 triggers relays to control appliances like lights and fans. This design offers a cost-effective and customizable …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 39–50 Read article
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A Cost-Effective Fast Cell Balancing Technique for Lithium- Ion Batteries using a Single DC–DC Converter with Direct Energy Transfer
Abstract: A novel quick lithium-ion battery balancing method with a single DC-DC converter for facilitating the direct energy transfer process in low and high voltage cells is introduced in this research work. Cost effectiveness in the design of the switch network is achieved by the use of relays in switching the cells. A control circuit including an MCU and a battery management IC is used for the sensing of cell voltages …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 Read article
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A Study on Insect Journey using Sensor
Abstract: The orthodox entomologist’s toolkit – the net, the vial, the killing jar – has long rendered its subject’s mute. We have cataloged insects by their form, their pinned and static beauty, but have been largely deaf to the living, breathing reality of their existence. This study proposes a paradigm shift: to listen. By deploying a suite of miniaturized, non-invasive sensors – from accelerometers that trace the micro-vibrations of a beetle’s …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 Read article
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Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 Read article
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Artificial Intelligence in Cerebellum Activation
Abstract: Neuroscience plays a significant function during the progression of artificial intelligence. It provided inspiration for the development of human-like AI. There are two ways that neuroscience encourages us to develop AI systems. Neural networks that replicate human cognition and those that match the structure of the brain are the two objectives. Neural networks, which draw inspiration from the architecture of the human brain, are the engine behind contemporary artificial intelligence …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 14–26 Read article
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Data Integration and Visualization in Bioinformatics: Techniques and Challenges
Abstract: Data integration and visualization play essential roles in bioinformatics, facilitating the thorough analysis, and interpretation of intricate biological datasets. In the field of bioinformatics, vast amounts of data are generated from various experimental platforms, such as genomic sequencing, proteomics, transcriptomics, and metabolomics. However, the heterogeneity of these datasets, coupled with their large scale and complexity, presents significant challenges in terms of integration, analysis, and visualization. Data integration techniques aim to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Sustainable Electromagnetic Culinary Interface with Dual-Phase Filtration for Energy Efficiency and Environmental Impact Reduction
Abstract: Induct Net is an innovative kitchen appliance that seamlessly integrates advanced cooking technology with an inbuilt chimney system, marking a significant step towards sustainable culinary environments. This space-efficient device prioritizes energy efficiency, user safety, and environmental responsibility through its incorporation of internet of things (IoT) technology. Induct Net features a dual-filtration system with removable grease and charcoal filters, ensuring optimal performance while reducing waste. The IoT connectivity facilitates real-time monitoring, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 45–50 Read article
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AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article