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1966 articles for “AC system” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Comparative Proteomics: From Cell Lines to Clinical Samples
Abstract: Comparative proteomics is a powerful tool for understanding the molecular differences between various biological samples. It entails identifying and measuring proteins in complex biological samples to assess their abundance, modifications, and interactions under various conditions. This approach plays a crucial role in advancing biomedical research, especially in disease understanding, biomarker discovery, and therapeutic development. While cell lines are widely used for proteomic studies due to their controlled environments and reproducibility, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 30–34 Read article
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Effect of Ply Orientation on Thermal Erosion and Conductivity of Silica Phenolic Composites Under Oxy-Acetylene Flame
Abstract: The thermal and erosion performance of fiber-reinforced composites is highly sensitive to fiber architecture, matrix chemistry, and processing techniques, factors that have shaped development of advanced thermal protection systems (TPS) over past two decades. Silica phenolic (SP) composites, in particular, are widely employed in aerospace and defense applications due to their flame resistance, char stability, and ability to withstand severe thermal shock. However, optimizing thermal conductivity while improving erosion resistance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 273–283 Read article
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A Review on Life Cycle Assessment of Solar Photovoltaic Electricity Generation Systems
Abstract: A popular system for calculating the environmental effects of energy systems from conception to death is life cycle assessment, or LCA. As a low-carbon generation technology, solar photovoltaic (PV) systems have fast spread throughout the world. The various PV technologies (monocrystalline, polycrystalline, thin-film), system scales (residential, commercial, utility), industrial locations, balance of system (BOS) configurations, and end-of-life (EoL) scenarios are all covered in this review of published life cycle assessment …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 1–6 Read article
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Smart Water Harvester
Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Gatividhi Guard: The Activity Guardian—Revolutionizing Security Information and Event Management (SIEM) Technology
Abstract: In the dynamic landscape of cybersecurity, organizations confront increasingly intricate cyber threats that necessitate sophisticated security measures. Conventional systems such as Security Information and Event Management (SIEM) systems face ongoing challenges, they often struggle to effectively detect and mitigate sophisticated attacks within extensive data sets. To address these limitations, the introduction of Gatividhi Guard signifies a paradigm shift in SIEM technology. Gatividhi Guard is an innovative SIEM platform leveraging advanced …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 29–44 Read article
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Design and Analysis of Quality Improvement for Radiator Manufacturing Industry
Abstract: This study investigates the design and analysis of quality control measures for the radiator manufacturing industry through the utilization of various nanofluids. Both experimental techniques and computational fluid dynamics (CFD) simulations using ANSYS software are employed to assess the performance of different nanofluids in enhancing the efficiency and reliability of radiators. The experimental aspect involves testing the heat transfer characteristics and thermal conductivity of nanofluids, while CFD simulations provide insights …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 24–28 Read article
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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An Overview of Examination of Some Basic Raw Materials for Adsorbent on Approach of Pollutant Mitigation and Treatment
Abstract: This research showcases the basic parameters that are required to produce bio-adsorbent suitable for adsorption process and their important role on treatment of contaminated water environment. The overview of the physicochemical parameters of the raw materials used for the production of the adsorbents, the particle size and the mix ratio were identified as a contributing factor to the rate of contaminants mitigation in the system. The effect of water pollution …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 01–16 Read article
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AQUASOMES: A Vesicular, Self-assembled Ceramic Nanoparticulate Drug Carrier
Abstract: Nano-biopharmaceutics involves delivery of biopharmaceutical product through different biomaterials like multi-functional nanoparticles, quantum dots, aquasomes, super-paramagnetic iron oxide crystals, and liposomes dendrimers. Aquasomes are considered as one of the most recently developed delivery systems for bioactive molecules like peptides, proteins, hormones, antigens and genes to specific sites. Aquasomes have a spherical shape and a particle size of 60–300 nm. These are three layered self-assembled nano-particulate carrier system. This three-layered structure …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 3, 2025 · pp. 1–14 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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Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 Read article
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Entangled Shields: Securing Digital Systems in the Quantum Cryptographic Revolution
Abstract: Quantum computing utilizing principles of superposition and entanglement is poised to revolutionize the computational landscape, presenting unprecedented challenges and opportunities across various disciplines. Among these, cryptography stands at the forefront due to its reliance on computational hardness assumptions, which Quantum algorithms, such as Grover’s and Shor’s, can efficiently exploit. This study explores theoretical foundations and practical applications of quantum-safe cryptographic primitives, such as lattice-based cryptography, hash-based signature schemes, code-based systems, …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 33–43 Read article
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Face Detection and Recognition Using MTCNN and FaceNet
Abstract: Face detection and face recognition are major tasks in the field of computer vision with several real-world applications and many products being developed in the same field. This study gives a detailed implementation of the product that is developed for accurate detection and recognition of faces along with audio output of the face detected. This development would act as a base for a few future products that can be developed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 132–140 Read article
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Evaluating AI-Driven Adaptive Learning Models in Mathematics: A Contemporary Perspective
Abstract: Artificial Intelligence (AI) continues to transform mathematics education through data-driven personalization and adaptive learning technologies. This study investigates how AI-enabled adaptive platforms influence student performance and engagement in mathematics classrooms. Using a quantitative approach across two institutions, pre- and post-assessment results were compared between students using AI-assisted adaptive learning tools and those receiving conventional instruction. The findings reveal that AI-driven learners demonstrated significantly higher gains in conceptual understanding and engagement …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 8–12 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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A Study on AI-Enhanced Environmental Toxicology: Sensor-Driven Predictive Framework
Abstract: Traditional environmental toxicology relies heavily on labor-intensive, often retrospective, sampling and analysis, limiting our understanding of dynamic pollutant behaviors and their real-time impact on ecosystems and human health. This study presents a novel, integrated framework leveraging advanced sensor networks and artificial intelligence (AI) to revolutionize the monitoring, assessment, and predictive modeling of environmental contaminants. We deployed a sophisticated array of multi-parameter sensors (e.g., electrochemical, optical, biosensors for heavy metals, organic …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 Read article
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Performance Assessment of External Source-Driven Binary Vapor Cycles with Ammonia-Water and Trans-critical CO2: The Impact of Reheating and Pressure Variations
Abstract: This paper investigates the thermodynamic performance of binary vapor cycles, focusing on two working fluid combinations—ammonia-water mixtures and trans-critical carbon dioxide (CO2). The analysis evaluates how system performance is influenced by incorporating reheating processes and varying operating pressures, which are key parameters in optimizing cycle efficiency and energy recovery. By leveraging external heat sources and exploring these configurations, the research aims to provide insights into improving the efficiency of industrial …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 23–29 Read article
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A Comprehensive Review of CMOS Analog Circuit Design Techniques for Low-Power VLSI Systems
Abstract: CMOS analog circuit design plays a significant role in the development of modern low-power Very Large-Scale Integration (VLSI) systems used in wireless communication, biomedical devices, portable electronics, embedded systems, and Internet of Things (IoT) applications. Research on low-power CMOS analogue design methodologies has intensified because to the growing need for high-performance, small, and energy-efficient electronic products. However, reducing power consumption while maintaining signal accuracy, noise performance, stability, bandwidth, and overall …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Viscoelastic Behavior, Interfacial Mechanics, and Reliability of Polymer Interlayers in Laminated Glass Composites: A Comprehensive Review
Abstract: The laminated glass systems are regarded as hybrid polymer–glass composites where the viscoelastic behavior of polymer interlayers mostly controls mechanical response. These interlayers (polyvinyl butyral (PVB), ionoplast, ethylene-vinyl acetate (EVA), etc.) have time-, temperature- and rate-dependent properties which significantly affect shear transfer, energy dissipation, and fracture resistance. But the baseline polymer-relevant processes at the molecular and interfacial level are to a large extent unknown [1]. This review provides a materials-focused …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 258–268 Read article