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1045 articles for “U-net”
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Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks
Abstract: This work investigates the spatiotemporal dynamics of an ensemble of 100 identical Lorenz oscillators coupled through a mean-field scheme in the presence of additive noise. Building on prior studies of spatiotemporal chaos in coupled Lorenz arrays and mean-field coupled chaotic oscillators, the focus is on how the competition between deterministic coupling and stochastic forcing shapes collective behavior, including complete synchronization, desynchronization, clustered states, and noise-modified spatiotemporal chaos. The governing equations …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Renewable-Powered HVAC Systems: Advances in Solar, Bioenergy, and Heat Pump Technologies
Abstract: The global demand for refrigeration, air conditioning, heating, and ventilation (HVAC) systems has increased rapidly due to population growth, urbanization, industrialization, and rising expectations for indoor thermal comfort. These systems account for a substantial share of global energy consumption and greenhouse gas emissions, primarily because they rely heavily on fossil-fuel-based electricity and thermal energy. Consequently, the decarbonization of HVAC and refrigeration sectors has become a critical component of global climate …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 26–33 Read article
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Enhancing Crop Health: A Review of Image Processing Methods for Leaf Disease Identification
Abstract: This research presents an overview of different image processing techniques for the identification of leaf disease. Many algorithms can be used to identify and categorize leaf diseases in plants, and digital image processing provides a quick, dependable, and accurate method of disease detection. This paper presents various techniques used on multiple crops and the achieved accuracy for each model. Leaf disease detection is a critical task in agriculture to ensure …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 10–14 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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Nutrient Sensing and Microbiota Crosstalk: Driving Determinants Shaping Metabolic Stability and Adaptive Physiology for Animal Health
Abstract: Nutrient sensing is a fundamental cellular process that enables animals to adapt to fluctuating dietary inputs while maintaining metabolic homeostasis and health. Recent advances reveal that the gut microbiota functions as an active metabolic partner, producing bioactive metabolites that directly influence host nutrient-sensing pathways and downstream cellular responses. This review synthesizes current knowledge on the integration of key signalling networks, including adenosine monophosphate activated protein kinase (AMPK), mechanistic target of …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 Read article
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Synthesis of Graphene-CeO2 Nanocomposite with Enhanced Electrochemical Properties
Abstract: For the fabrication of graphene–cerium oxide (CeO₂G) composites, 99 mg of cerium oxide (CeO₂, 99.9%) was uniformly dispersed in 100 mL of deionized water via ultra-sonication (40 kHz) to achieve a stable suspension, followed by the incorporation of 1 mg of synthesized graphene. The resulting mixture was maintained at ambient temperature (25 ± 2 °C) under continuous magnetic stirring at 500 rpm for 2 h to promote effective interfacial interaction …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1355–1373 Read article
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A Review on Smart Touchless Dustbin Systems for Hygienic Waste Management and Smart City Applications
Abstract: Municipal solid waste output has significantly increased as a result of rapid urbanization and population expansion, placing a strain on the infrastructure already in place for waste management. Traditional waste receptacles, requiring manual operation and lacking fill-level monitoring, present public hygiene risks and cause logistical inefficiencies. The emergence of the Internet of Things (IoT) and embedded automation technologies has introduced intelligent solutions to address these challenges. This paper provides a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Non-Lethal Protection of Farmlands Against Wild Animals and Crop Estimation
Abstract: This paper is an integrated smart system that aims to enhance productivity related to agriculture along with agricultural safety through modern technology. Crop estimation system uses IoT sensors and machine learning algorithms for the analysis of real-time environmental data in terms of soil moisture, temperature, pH levels, and humidity. This data will further be used to provide the optimal crop for cultivation and appropriate fertilizer requirements for prediction of requirements. …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 18–24 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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Fabrication of Polydimethylsiloxane Composites with Nickel Nanoparticles: Unification and Current–Voltage Relationship
Abstract: Polydimethylsiloxane (PDMS)–nickel nanoparticle (NiNPs) nanocomposite films were fabricated and systematically investigated to understand their electrical transport behavior through current–voltage (I–V) characterization. Nanocomposite films with varying Ni nanoparticle filler concentrations (14.88 wt%, 15.77 wt%, and 16.65 wt%) were prepared using a solution-mixing and spin-coating technique, followed by controlled thermal curing. The electrical properties of both pristine PDMS and PDMS– NiNPs nanocomposites were examined over a wide voltage range (up to 800 …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 1, 2026 · pp. 22–29 Read article
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Enhancement of Mechanical and Tribological Properties of Aluminum-Titanium Carbide (Al-TiC) Metal Matrix Composites via Powder Metallurgy
Abstract: Metal matrix composites (MMCs) have emerged as a result of the increasing need for sophisticated lightweight materials with exceptional mechanical and tribological qualities. For structural and wear-critical applications, aluminum-based composites supplemented with ceramic particles such as titanium carbide (TiC) have shown great promise. In this work, aluminum-TiC composites made by powder metallurgy a process that guarantees even particle dispersion, regulated porosity, and the creation of near-net shapes are fabricated, mechanically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 366–374 Read article
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A Review of Blocking Side-Channel Threats in Parallel Cloud Systems
Abstract: Side-channel attacks (SCAs) pose a critical security threat to parallel computing systems, particularly in shared cloud environments where multi-tenancy and resource contention create exploitable vulnerabilities. This study presents a comprehensive review of SCAs in parallel architectures, analyzing attack vectors such as cache-based exploits (e.g., Prime + Probe, Flush + Reload), timing attacks, power analysis, and network-based covert channels. We examine real-world cases including Spectre and Meltdown vulnerabilities that exposed fundamental …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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Enhancing Terahertz Patch Antennas: The Role and Impact of Graphene
Abstract: Terahertz (THz) communication systems are gaining increasing attention because of their ability for high-speed wireless data transmission, making them suitable for the 6th-generation wireless applications. Patch antennas, commonly used in these systems, play a crucial role in signal transmission and reception. There are various types of conductive materials available for patch antennas, but the unique characteristics of graphene make it a suitable choice. This study explores the significance and contribution …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 41–51 Read article
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A Comprehensive Study of various Multi-Area Hybrid Power Systems for Generation Control
Abstract: This paper is a detailed examination of multi-area hybrid power systems in the control of the generation taking into consideration the two area up to five area connected networks. As renewable energy sources are more and more integrated, and modern grids become more and more complex, the stability of the system itself and the frequency regulation have risen to a major issue. The study highlights the significance of Automatic Generation …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 28–42 Read article
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Charting the Path Forward: An In-Depth Analysis of Breakthroughs and Hurdles in Artificial Intelligence
Abstract: Recent years have witnessed tremendous progress in artificial intelligence (AI), fueled by exponential increases in processing power and data accessibility. These developments have made it possible for AI to be widely used in a variety of industries, such as healthcare, finance, autonomous driving, and more. Significant difficulties are presented by the "black-box" nature of many AI systems, which lack transparency and the capacity to explain. By encouraging algorithms that can …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 13–23 Read article
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A study on CMOS Operational Amplifier in Sensor Development
Abstract: CMOS operational amplifiers (op-amps) have emerged as pivotal components in modern sensor development, enabling the amplification and conditioning of weak signals with high precision and efficiency. Their inherent advantages low power consumption, compact size, and seamless integration with digital circuits make them ideal for advancing miniaturized, battery-powered sensor systems in fields ranging from biomedical devices to IoT networks. By delivering precision, power efficiency, and integration, CMOS op-amps are not just …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 01–07 Read article
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AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
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Securing IoT Wilderness with VHDL
Abstract: The Internet of Things (IoT) has revolutionized connectivity by integrating billions of devices and reshaping industries. However, this vast network also brings substantial security concerns. From compromised sensors to hijacked industrial control systems, the vulnerabilities within IoT devices can have far-reaching consequences. Hardware Security Modules (HSMs) provide a reliable and secure environment for performing cryptographic operations and safeguarding sensitive data. This article explores the crucial role of VHDL (VHSIC Hardware …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 1, 2025 · pp. 29–40 Read article
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Graphene-Derived Reinforced Polymer Composites for Self-Healing and Durability Enhancement in Concrete Structures
Abstract: This study presents a matrix-centric polymer-composite repair binder: an epoxy–polyamide network reinforced with graphene derivatives (GO/rGO, 0.1–1.0 wt%). The polymer drives function via segmental mobility that closes microcracks, while 2D-filler topology densifies the interphase, improves load transfer, and enforces tortuous moisture pathways. Adhesion was high: pull-off (ASTM D4541) reached 13.5 MPa at 2.0 mm displacement; slant-shear (ASTM C882) reached 12.1 MPa at 2.8 mm, with greater deformation capacity (zero stress …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 77–91 Read article