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248 articles for “Hybrid.”
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High Strength Concrete (M40) Using Micro Silica and Steel Fiber
Abstract: Abstract: This experimental study examines the combined effects of micro silica (silica fume, SF) as a partial cement replacement and hooked-end steel fibers on the mechanical properties of M40 grade concrete. Concrete mixes were designed as per IS:10262 with a target characteristic compressive strength of 40 MPa. Silica fume was incorporated at 0%, 5%, 10%, and 12% by weight of cement, while steel fibers (aspect ratio ~50) were added at …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 53–57 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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Green and Nanotechnology Approaches for the Determination of Tungsten (VI): A Modern Analytical Perspective
Abstract: The determination of tungsten (VI) has gained increasing importance due to its extensive industrial applications and growing environmental relevance. Tungsten is widely used in alloys, catalysts, electronics, and energy systems, leading to its release into environmental matrices such as water, soil, and biological systems. Accurate monitoring of tungsten at trace and ultra-trace levels is therefore essential for environmental assessment and industrial quality control. Conventional analytical techniques, including inductively coupled plasma …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 26–35 Read article
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AN INTEGRATED COMPUTER-AIDED PROCESS PLANNING SYSTEM FOR THE MANUFACTURING OF A LEAF SPRING
Abstract: Computer-Aided Process Planning (CAPP) is a key enabling technology for integrating product design and manufacturing in a Computer Integrated Manufacturing (CIM) environment. This paper presents the development and implementation of an integrated, feature-based CAPP system for the manufacturing of an automotive leaf spring assembly. The proposed system bridges the gap between CAD and shop-floor activities by directly mapping design features to manufacturing operations. High-level manufacturing features such as base profiles, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 10–23 Read article
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Effect of Nano-Fillers on the Mechanical and Fracture Behavior of Polymer Composite Matrices: A Review
Abstract: The modification of polymer composite matrices through the incorporation of nano-scale fillers has become a prominent and highly effective strategy for enhancing mechanical performance, stiffness, and fracture resistance. Unlike conventional micro-scale reinforcements, nano-fillers possess exceptionally high surface area–to–volume ratios and unique physicochemical characteristics that significantly influence interfacial phenomena within the polymer matrix. Materials, such as carbon nanotubes (CNTs), graphene nanoplatelets (GNPs), nano-silica, and layered silicate nanoclays, introduce advanced toughening mechanisms …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 31–36 Read article
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Catalytic Applications of Carbon Nanodots
Abstract: Carbon nanodots (CNDs) owing to their hydrophilicity and multifunctionality and with ultrasmall size exhibit metal-like properties resulting in astounding catalytic performance. These nanostructures, typically less than 10 nm in diameter, possess unique physicochemical and electronic characteristics including tunable photoluminescence, high surface-to-volume ratio, abundant surface functional groups, and excellent electron transfer capabilities. Such properties have driven extensive global research into their application in heterogeneous and homogeneous catalysis. Recent advances in synthesis …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 9–14 Read article
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A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite Materials
Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article
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Microwave Frequency Optimization Techniques for High-Speed Wireless Communication
Abstract: The rapid growth of mobile devices, cloud computing, Internet of Things (IoT), smart applications, and high-definition multimedia services has significantly increased the demand for high-speed wireless communication systems. Microwave communication technologies play a vital role in modern wireless networks because they provide large bandwidth, high data transmission rates, low latency, and efficient spectrum utilization. Microwave and millimeter- wave frequencies are widely used in satellite communication, radar systems, wireless broadband, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 14–21 Read article
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Sustainable Cementitious Composites withEpoxy–Alccofine Synergy
Abstract: This research examines the combined influence of epoxy resin and Alccofine when used as partial substitutes for cement in producing sustainable, high-performance concrete. The study aims to improve both strength and durability properties while simultaneously reducing cement usage and its environmental impact. Concrete mixes were prepared with epoxy resin contents of 0%, 5%, and 10% by weight of cement, along with Alccofine replacement levels of 5%, 10%, and 15%. The …
Published in International Journal of Concrete Technology · Vol. 12, Issue 2, 2026 · pp. 1–12 Read article
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Intelligent Trajectories: Harnessing Artificial Intelligence for Next Generation Missile and Propellant Design
Abstract: The rapid evolution of artificial intelligence (AI) has unlocked transformative pathways for high-performance aerospace engineering, yet its integration into missile and propellant design remains nascent. This study investigates a hybrid AI-driven framework that unites physics-based modeling, data-centric learning, and multi-objective optimization to accelerate the conception, validation, and refinement of missile airframes and solid-propellant formulations. First, a physics-informed neural network (PINN) is trained on a curated database of historic missile geometries, …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 20–26 Read article
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Data-Driven Multiscale Design of Nanostructured Composite Materials for Sustainable Engineering Applications.
Abstract: The increasing demand for high-performance, lightweight, and environmentally sustainable materials has accelerated the advancement of nanostructured composite systems in modern engineering. This study develops a comprehensive data-driven framework for the multiscale design and optimization of nanostructured composite materials, with emphasis on the interaction between structure–property relationships across nano-, micro-, and macro-scales. By integrating hybridization strategies with intelligent manufacturing techniques—such as machine learning-assisted modeling and additive fabrication—the research addresses critical limitations …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 48–58 Read article
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Enhancing the strength and flexibility of crowns and bridges: advances in materials, design, and nanotechnology.
Abstract: The continuous advancement in restorative dentistry has led to the integration of nanotechnology in the fabrication of crowns and bridges, significantly enhancing their mechanical and functional performance. Nano-enhanced materials, including nanoparticle-reinforced resin matrices, nanostructured ceramics, and nano-modified adhesive systems, demonstrate superior properties compared to conventional materials. These improvements are largely attributed to the uniform dispersion of nanoparticles, which enhances filler–matrix bonding, increases surface interaction, and reduces microstructural defects, resulting in …
Published in International journal of Nanobiotechnology · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
Abstract: Agriculture is rapidly transforming into a data-driven ecosystem supported by advances in artificial intelligence (AI), Internet of Things (IoT) sensor networks, and satellite remote sensing technologies. These innovations enable precision-driven decision-making aimed at improving productivity while minimizing environmental impact. This paper presents an AI-integrated precision agriculture system designed to optimize fertilizer usage and enhance crop yield prediction accuracy through a robust multimodal deep learning framework. The proposed approach integrates heterogeneous …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
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Synthesis, Characterization, Antibacterial Study and Study of Bio Properties for New Analytical Reagents
Abstract: Due to the widespread pollution of heavy metals in water and environmental samples, the pollution levels have increased. Therefore, researchers have begun working on various environmental solutions to improve the levels of these elements in environmental samples. One such solution is the preparation of analytical reagents as coordination agents and ligands to shield the elements from water and soil, thereby reducing pollution levels. In this study, new analytical reagents were …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article
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Systematic Review on Advances in Energy-Efficient RF Circuits and Sustainable Microwave Systems for Green MicrowaveEngineering
Abstract: The increasing global demand for sustainable technologies has catalyzed innovation in energy-efficient radio frequency (RF) and microwave systems. This paper explores the principles,methodologies, and advancements underpinning green microwave engineering, with a particularfocus on the design and optimization of energy-efficient RF circuits. A systematic literature reviewwas conducted, analyzing peer-reviewed publications, technical reports, and case studies to assesscurrent progress and identify persistent challenges. Key findings reveal that low-power circuitdesign techniques, multi-source energy …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 Read article
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Systematic Review on Advances in Energy-Efficient RF Circuits and Sustainable Microwave Systems for Green MicrowaveEngineering
Abstract: The increasing global demand for sustainable technologies has catalyzed innovation in energy-efficient radio frequency (RF) and microwave systems. This paper explores the principles,methodologies, and advancements underpinning green microwave engineering, with a particularfocus on the design and optimization of energy-efficient RF circuits. A systematic literature reviewwas conducted, analyzing peer-reviewed publications, technical reports, and case studies to assesscurrent progress and identify persistent challenges. Key findings reveal that low-power circuitdesign techniques, multi-source energy …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 Read article