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1949 articles for “Processability” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Optimized Text Extraction and E-Repository Development of Hindi and Punjabi Documents Using OCR and NLP Techniques
Abstract: Increase in digitalization of content in the form of text content necessitates powerful document and text extraction systems, particularly for Indian languages such as Hindi and Punjabi. The existing Optical Character Recognition (OCR) solutions support major scripts such as English, leaving a research opportunity for effective recognition of Devanagari and Gurmukhi scripts. This study recommends a modified text extraction algorithm based on Tesseract OCR, accompanied by preprocessing steps of conversion …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 35–43 Read article
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Investigation and Optimization of Resistance Spot Welding Parameters for Stainless Steel
Abstract: The present work examines the significant impact of resistance spot welding (RSW) process parameters on the properties and efficacy of connections created in sheets of 316L stainless steel. This study examines the intricate relationship between welding parameters, investigating their influence on the microstructure, mechanical characteristics, and overall efficacy of welded connections. By employing a methodical experimental methodology, this study thoroughly investigates the impact of different factors in resistance spot welding …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 15–21 Read article
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Value Addition to Odisha's Bauxite Reserves: Developing Sustainable Alumina Production Technologies
Abstract: Odisha, home to one of the largest bauxite reserves in India, is a critical hub for the country’s aluminium industry. The extraction and processing of bauxite into alumina, however, pose significant environmental challenges, necessitating the adoption of sustainable technologies. With growing global emphasis on green practices and stringent environmental regulations, the alumina industry must innovate to balance economic growth with ecological responsibility. This study explores the latest advancements in sustainable …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 30–36 Read article
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Smart Trolley Billing System
Abstract: The Smart Trolley Billing System is an advanced automation solution designed to enhance retail efficiency by integrating IoT, embedded systems, and real-time data processing. Utilizing a GROW GM65 Barcode Scanner Module, Raspberry Pi 4, and a Capacitive Touchscreen display, the system streamlines checkout by capturing product data, dynamically updating a preloaded SQLite database, and displaying an itemized bill in real-time. Its Python-based software stack ensures efficient barcode processing, database management, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 29–36 Read article
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Real-time Emotion-aware AI Counseling System with Memory Retention Polymer Composites
Abstract: The availability of mental health services is still a major barrier, with many individuals constrained by financial limitations, social stigma, and a shortage of accessible counselors. This work introduces an emotion-aware AI counselor designed to provide empathetic and personalized emotional support via voice-based interfaces. The system leverages Natural Language Processing (NLP) and sentiment analysis to detect emotional cues from speech and generate contextually appropriate, comforting responses. A key innovation is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1395–1407 Read article
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Development of River Flood Management plan “Case of Patna City”
Abstract: This Research Paper develops an Integrated River Flood Management plan for Patna city, which includes Policy Framework and Implementation Strategy by increasing resilience and reducing river flood through various Interventions like Land use planning, Low Impact Development, Embankments, leaves, Dykes and ecosystem-based adaptation, resilient infrastructure, and community engagement identified from various Literature studies. It ensures Development of framework for River Flood in the region. It also talks about the Parameters …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 38–79 Read article
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AI-Driven Exam Grading, Percentile Calculation, and Plagiarism Detection System for Educational Integrity
Abstract: The influence of artificial intelligence (AI) on academic evaluation has become increasingly significant, particularly in areas such as automated grading, large-scale content analysis, and plagiarism detection. These technologies provide educators with rapid processing, consistent scoring, and timely feedback that can support both teaching and learning. However, alongside these advantages, serious concerns have emerged regarding the reliability and fairness of AI-driven assessments. The growing presence of AI-generated content has further complicated …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 07–12 Read article
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Hydrogenated Nitrile Butadiene Rubber (HNBR): A Comprehensive Review
Abstract: HNBR is produced by the hydrogenation of nitrile rubber (NBR) using either a homogeneous or heterogeneous technique. NBR is a copolymer of butadiene and acrylonitrile monomers. The hydrogenation process involves adding hydrogen to the nitrile butadiene copolymer, which results in improved resistance to heat, oxidation, and chemicals compared to NBR. This process alters the molecular structure of the rubber, providing it with superior properties compared to its unmodified counterpart, NBR. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 14–22 Read article
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Comparative Thermal Stability of Structural Acrylic and Polyurethane Adhesives under High Heating Rate Conditions
Abstract: This study examines the thermal stability and degradation characteristics of structural acrylic and polyurethane adhesives through Differential Scanning Calorimetry (DSC) at an elevated heating rate of 15 °C/min. The purpose of this study is to assess the impact of rapid thermal excitation on the volatile loss of adhesives, their curing behaviour, and thermal decomposition profiles elements that are essential in high-speed manufacturing and thermally challenging settings. The findings indicated that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 717–725 Read article
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Biophysical Properties and Spin Transport in Hemoglobin, Heme Along the Easy Magnetic Fe-N Symmetric Axis
Abstract: Many physical processes that take place in human and animal hemoglobin are associated with a transport of minerals, air, charge carriers, ions, and spin. They are greatly influenced by external electric and magnetic fields, the concentration of mineral intake, pH value, thermal conditions, and the structure of hemoglobin. In this research, emphasis is given to spin transport in hemoglobin, where a weak spin transport is noticed. In order to clarify …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 45–62 Read article
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Fabrication and Multi scale Characterization of Functionally Graded Composites Reinforced with Hybrid Ceramic–Metallic Phases
Abstract: Using composite materials as functionally graded composites (FGM) can improve its excellent material properties. In this work, magnesium peroxide, silicon carbide, and aluminum are used to create four-layer FGMs. The sintering process, which blends the particles of each material using a powder methodology, has been used to complete the fabrication process. Three factors, including sintering time, sintering temperature, and compacting pressure, are taken into account when fabricating FGM. The FGM …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 1–11 Read article
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Enhancing Control with Embedded Ssvep-Bci
Abstract: Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 41–52 Read article
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Quantitative Mass Balance Modelling for the Synthesis and Production of Ten High-Volume Insecticides
Abstract: This study presents a detailed quantitative mass balance analysis for the industrial synthesis and production of ten high-volume insecticides: acequinocyl, acetamiprid, acynonapyr, alpha-cypermethrin, benzpyrimoxan, bifenazate, bifenthrin, bistrifluron, broflanilide, and bromofos, focusing on material flows, process efficiencies, and environmental implications. These compounds, spanning diverse chemical classes like neonicotinoids, pyrethroids, and meta-diamides, are essential for crop protection but pose challenges due to resource-intensive syntheses and waste generation. For each insecticide, standardized manufacturing …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 36–55 Read article
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ECO Report Analys Achieving SDG 15
Abstract: This project creates automated data processing tool Eco Data Analyser for ecological data analysis for SDG 15: Life on Land conservation and biodiversity. File_picker, Excel, and CSV are used in the Flutter and Dart based cross-platform solution to assist environmental organizations in handling ecological data. Uploading ecological datasets, verifying data, classifying biodiversity indicators, and producing summary reports helps Eco Data Analyser to make conservation data accessible and valuable. User-defined parameters …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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Recent Progress in Chemical Technology Research and Its Industrial Utilizations
Abstract: Recent advancements in chemical technology have profoundly transformed the industrial environment by integrating novel materials, eco-friendly processes, and sophisticated analytical instruments. This article examines important new developments in chemical research in areas like catalysis, nanotechnology, process intensification, and green chemistry. The focus is on how these scientific advances may be used in industry, such as making production procedures cleaner, improving energy efficiency, and making materials that work better. The revolutionary …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 56–66 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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Azepines, Chemistry, Synthesis and Reactions
Abstract: Azepines, which consist of a seven-membered cyclic compound featuring six carbon atoms, an additional nitrogen atom, and no double bonds between carbons, form a diverse group within organic chemistry. The fully hydrated form of this compound is called azepam (C6H13N). Compounds and their variants play crucial roles in pharmaceutical research due to their biologic attributes like cancer-fighting, bacteria-killing, fungus-busting, virus-suppressing, and inflammation-reducing capabilities. Various organic molecules found within nature draw …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 35–45 Read article
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Identification and Evaluation of Safety Factors in Construction Industry Using Fuzzy Reasoning Technique
Abstract: Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project's life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 7–12 Read article
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Polyurethane: Chemistry, Production, Applications, and Future Prospects—An Overview
Abstract: Polyurethane (PU), a class of versatile polymers, has emerged as one of the most significant materials in modern industry owing to its remarkable mechanical strength, elasticity, durability, and resistance to abrasion, chemicals, and environmental degradation. Its wide range of tunable properties has made PU indispensable across multiple sectors, including fashion, automotive, manufacturing, biomedical, coatings, and construction. This review emphasizes the diverse applications of polyurethane and explores how its unique chemistry …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 17–25 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article