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1926 articles for “and Process” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Development of a Novel Analytical Framework for Investigating Non-Symmetric Deformation Behavior in Strip Rolling
Abstract: In recent years, the asymmetrical rolling process has attracted considerable research attention due to its ability to induce non-uniform deformation characteristics within metallic workpieces. In this context, the present study introduces a novel analytical framework for asymmetrical cold rolling based on an enhanced slab method, specifically designed to overcome the inherent limitations of existing analytical models when applied to a wide range of asymmetric rolling conditions. A newly developed mathematical …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 1–21 Read article
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The Invisible Engineers: How Viruses Change Cells at the Molecular Level
Abstract: Viruses are frequently thought of as simple parasites, yet at the molecular level, they are quite good at engineering and may change the way the cells they infect work. The Invisible Engineers: How Viruses Rewire Cells at the Molecular Scale looks into how viruses get into host cells, mess up intracellular circuits, and exploit molecular resources to make copies of themselves. This article talks about how viral proteins and nucleic …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 1–6 Read article
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Vedic Chemical Insights as Precursors to Modern Green and Sustainable Chemistry: An SDGAligned Perspective
Abstract: This paper explores the chemical insights found in ancient Vedic texts and their relevance to contemporary green and sustainable chemistry. It examines the alchemical traditions described in Vedic literature, such as Rasaśāstra, which integrate material and spiritual aspects of transformation. The study investigates how ancient chemical processes align with modern principles of green chemistry, including waste reduction, use of renewable resources, and energy efficiency. By analyzing the parallels between Vedic …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 36–48 Read article
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SUSTAINABLE MEMBRANE FABRICATION USING GREEN CHEMISTRY PRINCIPLES: A COMPREHENSIVE REVIEW OF MICROWAVE IRRADIATION, SONOCHEMICAL, AND CONTINUOUS FLOW METHODOLOGIES
Abstract: Membrane-based separation technologies have emerged as indispensable tools in water purification, biomedical engineering, pharmaceutical processing, and environmental protection. However, conventional membrane fabrication processes often rely on hazardous organic solvents, energy– intensive steps, and environmentally taxing conditions. In response to increasing global emphasis on sustainability and regulatory pressures, green chemistry strategies have gained attention for enabling safer, energy-efficient, and eco-friendly membrane production. This review provides a comprehensive and structured analysis of …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 8–24 Read article
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Digital Transformation of Urban Infrastructure with the Help of AI Guardians
Abstract: The construction industry continues to face challenges related to quality control, safety protocols, and meeting project deadlines. These issues often result in significant cost overruns and project delays. Traditional inspection and site management approaches rely heavily on manual work and individual judgment. As a result, human errors can easily occur, and these methods provide only limited snapshots of site conditions over time. This paper presents a comprehensive framework that uses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 16–25 Read article
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Music Reactive led using Arduino
Abstract: In recent years, the integration of technology into interactive systems has garnered significant attention. Among the many applications, music-reactive LED systems have become popular, offering dynamic visualizations that respond to audio inputs. This paper explores the development and implementation of a music-reactive LED system using Arduino, focusing on real-time audio signal processing and LED control based on the frequency spectrum of the sound. By utilizing Fast Fourier Transform (FFT) algorithms …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 27–33 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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AI-Enabled Optimization of Additively Manufactured Composite Materials for Enhanced Mechanical and Thermal Performance
Abstract: This paper discusses the optimization of multi-objective optimization of enhanced coupling of heat and mechanical properties of 3D printed polymer composite materials by artificial intelligence (AI), as a component of a multi-objective optimization framework. It aims at development of nonlinear printing parameters and material properties relationships to achieve maximum tensile strength and thermal conductivity in polymer composites produced through fused deposition modeling (FDM). Short carbon fiber reinforcement was used to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 867–891 Read article
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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article
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Data Structure Driven Probabilistic Deadlock Resolution in Multiprocessor Systems
Abstract: Deadlock resolution in multiprocessor systems is fundamentally a graph-theoretic and probabilistic decision problem. Existing victim selection heuristics, such as youngest, oldest, and lowest priority, apply static rules that overlook the dynamic runtime state of processes, leading to unnecessary computational loss. This paper reframes the inference-guided preemption (IGP) algorithm as a data-structure-centric solution, highlighting how resource allocation graphs, wait-for graphs, adjacency lists, min-heaps, and hash-based evidence stores interact to enable efficient …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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Review on Severe Plastic Deformation Techniques for Bulk Materials: Deformation Behavior and Properties
Abstract: This paper presents a detailed review of the efficient application of Severe Plastic Deformation for the fabrication of ultra-fine-grained and nanostructured crystalline bulk materials. Severe Plastic Deformation allows substantial grain refinement while largely preserving the original dimensions of the workpiece, making it especially suitable for ductile materials capable of sustaining very high strains under elevated hydrostatic pressure prior to failure. The study investigates the grain refinement mechanisms involved in Severe …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 40–72 Read article
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Iron Ore Beneficiation through Reverse Flotation: Advances in Nanobubble-Assisted Flotation Technology for Lean Grade Ore Upgradation and Silica Removal: A Review
Abstract: The global demand for high-grade iron ore concentrates continues to surge as readily available rich ores become depleted. Iron ore beneficiation through froth flotation has emerged as a critical technology for upgrading lean-grade iron ores (typically 25–35% Fe) to produce high-quality concentrates (64–70% Fe) suitable for direct reduction and blast furnace operations. This comprehensive review examines the fundamental principles of flotation in iron ore beneficiation, with particular emphasis on the …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 1–30 Read article
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Low-Fat and Lactose-Free Dairy Products: Trends and Challenges
Abstract: Dairy products play a vital role in human nutrition, providing essential nutrients such as proteins, calcium, vitamins, and fats. However, increasing health concerns related to obesity, cardiovascular diseases, and lactose intolerance have significantly influenced consumer preferences worldwide. As a result, the demand for low-fat and lactose-free dairy products has grown rapidly in recent years, driven by the need for healthier and more digestible alternatives. Low-fat dairy products are developed by …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–29 Read article
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Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
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Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis
Abstract: The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes. This study focuses on the turning of aluminium 6061 alloy, aiming to optimize two key performance measures: Surface Roughness and Material Removal Rate. An integrated approach combining to Taguchi methodology, fuzzy logic and measurement system analysis (MSA) is proposed to achieve this objective. Taguchi design of experiments using and L9 orthogonal array …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 13–19 Read article
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Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database
Abstract: The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database. This user-friendly solution simplifies and transforms the attendance management experience. Imagine an intuitive interface utilizing facial recognition technology to effortlessly track attendance. Leveraging advanced face detection algorithms and the enchantment of computer vision, our system ensures accurate face recognition, making each individual unmistakably identifiable. Beyond …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
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Sustainable Production of Halal Butter from Mango Kernel Oil: Extraction, Characterization and Functional Evaluation
Abstract: Mango kernel oil (MKO) is a mango processing by-product and is increasingly of interest in food use because of its appropriate fat content. The growing demand of the halal and plant-based alternatives of butter points to the necessity of the sustainable non-dairy sources of fat. Mango kernel oil butter has good physicochemical properties such as a good balance of fatty acids, good oxidative stability, and the right level of moisture, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 12–21 Read article
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Mechanical Properties and Temperature distributionofHard Facingof SS-304 steelby using SAW
Abstract: Surface engineering is a multidiscipline activity aimed at tailoring the properties or surfaces of engineering materials to improve their function or service life. Mostly; as applied to metals, surface engineering includes processes; such as plating, diffusion treatment, physical and chemical vapor deposition, ion implantation, thermal spray coatings, selective hardening, hard facing, and a variety of less-used and proprietary processes. However; these processes will be described briefly and it will be …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 18–29 Read article
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A Review study on Deep Drawing Analysis of Sheet Metal with Different Materials
Abstract: Deep drawing is one of the maximum vital processes for forming metal steel components.It is widely used for mass manufacturing of cup shapes in car, aerospace and packaging industries. In deep drawing metallic sheet is subjected to high punch stress which causes deformation of material, throughout deformation stresses are generated in numerous zones, which leads to numerous defects. The most important failure modes in sheet metallic elements are wrinkling and …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 47–53 Read article