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1977 articles for “integration” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Experimental and Process Optimization Study on Thermal Stress Reduction in TiC–Steel Brazed Joints Using Polymer-Derived Composite Interlayers
Abstract: In this, an experimental investigation aimed at reducing crack formation due to thermal stress in TiC-steel brazed joints through optimization of key process parameters is presented. The primary objective was to develop an integrated and reliable brazing strategy by examining the effects of filler material selection, brazing gap, cooling conditions and type of flux. In this study, polymer-derived composite interlayers were developed through controlled synthesis and nanocomposite engineering to mitigate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 524–540 Read article
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Smart Bio-Polymer Composite Systems for Sustainable Bio-Polymer Composite Media for Enhanced Pollutant Removal in Constructed Wetland Systems Using Machine Learning
Abstract: Constructed wetlands are widely used for wastewater treatment due to their low cost and ecological compatibility; however, their efficiency in removing emerging contaminants remains limited. This study presents the development of biodegradable polymer-based composite materials integrated into wetland filtration systems to enhance pollutant removal efficiency. Bio-polymers combined with natural fillers such as biochar and clay were synthesized and evaluated under simulated wetland conditions. The results demonstrate improved adsorption capacity, increased …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 190–200 Read article
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Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems
Abstract: The continuous scaling limitations of conventional CMOS technology have accelerated the exploration of alternative computing paradigms for next-generation low-power and high-performance systems. Spintronic logic devices have emerged as a promising solution due to their non-volatility, ultra-low switching energy, high integration density, and compatibility with beyond-CMOS architectures. This research presents a comprehensive modeling and energy optimization framework for spintronic logic devices applied in beyond- CMOS computing systems. The proposed work investigates …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Myco-Engineering Systems: Harnessing Fungal Networks for Carbon Sequestration and Sustainable Ecosystem Restoration
Abstract: Fungal organisms play a foundational role in global ecosystem stability, particularly through their contributions to nutrient cycling, soil regeneration, and carbon sequestration. Recent scientific advances have highlighted the potential of fungal mycelial networks as natural bioengineered systems capable of supporting sustainable environmental restoration. This paper introduces the concept of Myco-Engineering Systems, an interdisciplinary framework that integrates fungal biology, environmental science, and artificial intelligence (AI) to enhance carbon capture and ecosystem …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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Advancements In Energy Storage Materials Are Overcoming Challenges and Shaping Future Innovations
Abstract: The pursuit of efficient energy storage technologies is critical for advancing renewable energy systems and improving the performance of electric vehicles. This review emphasizes the synergistic contributions of polymers and composite materials in phase change materials (PCMs), zinc-based batteries (ZnBs), lithium-ion batteries (LIBs), and graphene-based systems. PCMs, particularly polymer-encapsulated and polymer-stabilized composites, demonstrate a remarkable ability to store and release thermal energy, enabling improved thermal management and operational stability. In …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 704–723 Read article
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Circadian Regulation of Lipid Peroxidation in the Brain: Linking Ferroptosis to Neurodegenerative Vulnerability
Abstract: The human brain operates through highly coordinated physiological and biochemical processes that regulate cognition, behavior, and neural adaptability. Central to these processes are mechanisms governing brain function, neurophysiology, and neuroplasticity, which are increasingly recognized to be influenced by circadian rhythms. Recent advances in cognitive neuroscience, neuroimaging, and behavioral neuroscience have revealed that disruptions in circadian regulation can significantly impact oxidative balance within the brain, particularly through enhanced lipid peroxidation. Lipid …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 1–14 Read article
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Biopolymer-Based 3D Composite Scaffolds for Bone Tissue Engineering: Photothermal-Responsive Systems with Controlled Pt (IV) Prodrug Release
Abstract: Biopolymer-based composite scaffolds have attracted significant attention as multifunctional platforms at the intersection of polymer science, regenerative medicine, and cancer nanotherapy. In this study, a dual-functional scaffold was developed for simultaneous osteosarcoma treatment and bone regeneration using poly (L-lactic acid) (PLLA) reinforced with bioactive glass (BG) and integrated with a glutathione-responsive platinum (IV) prodrug system (PDA@Pt). To improve interfacial adhesion, photothermal conversion efficiency, and tumor-specific activation, the Pt (IV) prodrug …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 351–361 Read article
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Structure–Property Correlation of Infill Topology and Density on Tensile and Flexural Performance of FDM-Printed PLA and ABS
Abstract: Additive Manufacturing (AM), particularly Fused Deposition Modeling (FDM), has become a widely adopted manufacturing technology due to its design flexibility, low cost, and capability for rapid prototyping. However, the mechanical performance of FDM-printed components is strongly influenced by internal structural parameters such as infill pattern and infill density, in addition to the intrinsic material behaviour. This study investigates the structure–property relationship between infill topology, density, and mechanical performance of PLA …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 26–37 Read article
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Photonic-Assisted Spintronic Solid-State Switching Model for High-Speed Memory Devices
Abstract: The rapid advancement of high-speed computing and data-centric applications has intensified the demand for energy-efficient and ultra-fast memory technologies. This paper proposes a Photonic-Assisted Spintronic Solid-State Switching Model for next-generation high-speed memory devices. The proposed framework integrates photonic excitation mechanisms with spintronic switching dynamics to enhance data transfer speed, minimize switching delay, and reduce power dissipation in solid-state memory architectures. By combining optical pulse-assisted spin polarization with magnetic tunnel junction-based …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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High-Performance Polymer Composite Membranes for Selective Ion Transport in Advanced Energy Conversion Systems
Abstract: The development of high-performance Polymer Composite Membranes (PCM) with enhanced ion transport is essential for Polymer Electrolyte Membrane Fuel Cells (PEMFC). However, low-humidity conditions and filter agglomeration still limit long-term membrane stability. This research designs a functionalized PCM integrating cross-linked Poly (Vinyl Alcohol)/Poly (Ethylene Glycol) (PVA/PEG) matrix with sulfonic acid functional groups and Titanium Dioxide (TiO₂) nanofillers to improve selective ion transport under low-humidity conditions. Two types of PCM were …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 724–736 Read article
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Design and Development of a Smart Automated Packaging System for Poultry Drumsticks
Abstract: The present work aims to design and implement an automated packaging system for poultry drumsticks that enhances operational efficiency, product quality, and adaptability. The integrated system offers a solution that complies with industrial quality and safety standards by sorting products, getting accurate weighing, and efficiently portioning food into 1-kilogram standardized units. By effectively reducing human involvement, operational inefficiencies, workforce requirements, and contamination hazards, the automation system becomes sufficiently adaptable to …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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A Constraint-Driven Generative Design Methodology for Modular Actuated Robotic Components in Decentralized Manufacturing
Abstract: This work formalizes a constraint-driven generative design framework for actuator-integrated robotic components intended for decentralized additive manufacturing. Conventional topology optimization typically prioritizes structural efficiency while treating actuator integration, modular interfaces, and fabrication constraints as secondary considerations. In contrast, the proposed methodology encodes these requirements as first-order geometric and mechanical constraints prior to automated material redistribution. The framework defines preserved actuator geometry, bounded design envelopes, representative loading abstractions, and manufacturability-aware domains …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 Read article
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Recombinant Proteins and Nested Gene Regulation: Nutrient Driven Immune Response and Disease Resistance in Livestock
Abstract: Livestock production systems are increasingly challenged by infectious diseases, metabolic disorders, and environmental stressors that reduce productivity and compromise animal health. Advances in molecular biology and animal nutrition now offer new opportunities to strengthen disease resistance through integrated strategies that combine recombinant protein technologies, gene regulatory mechanisms, and nutrient mediated immune modulation. This review examines how recombinant proteins and nested gene regulation interact to shape nutrient driven immune responses in …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 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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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
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Alternating Inertia-Based Virtual Synchronous Machine Control for Improved Frequency Regulation of Energy Storage Systems
Abstract: The rapid integration of renewable energy sources (RESs), particularly solar photovoltaic and wind energy systems, has significantly increased the penetration of power electronic converter-based distributed generators (DGs) in modern power systems. While these technologies provide substantial environmental, economic, and sustainability benefits, their widespread deployment has introduced new operational challenges. One of the major concerns is the reduction of system inertia and damping due to the replacement of conventional synchronous generators …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 Read article
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QR Based Plant Care System
Abstract: The QR Based Plant Care System is an innovative digital solution developed to improve plant monitoring, maintenance, and information management through the integration of QR code technology with smart agricultural practices. Traditional plant care methods mainly depend on manual record keeping, handwritten labels, and human observation, which often result in data loss, inconsistency, and inefficient plant management. With the increasing demand for sustainable agriculture and efficient resource utilization, there is …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 32–40 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