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816 articles for “machining time”
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Evaluation of Abrasive Grinding Parameters in Crankshaft Manufacturing
Abstract: Grinding is a metal cutting operation performed by means of rotating abrasive tool, called “Grinding wheel”. Grinding is done on surface of almost all conceivable shapes and materials of all kinds. In grinding, it is possible to achieve very accurate dimensions and smoother surface finish in a very short time and it is only a method after hardening. High temperature to the tune of the 1000 to 1400°C is usually …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 13–15 Read article
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Review paper on concrete mix design optimization using machine learning based algorithm
Abstract: Concrete is an essential part of most construction works in civil engineering. The mix design of concrete is usually specified in terms of prescription or performance-based approach. One of the most important procedures is proportioning the concrete mix, which requires taking several safety precautions to get the proper amounts of elements like cement, aggregate, water, and admixtures. The current study offers a thorough analysis of the Artificial Neural Networks (ANN) …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 311–320 Read article
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Discomfort Analysis in Pneumatic Grinding: Steam Generator Manufacturing Industry
Abstract: Steam generator manufacturing involves a lot of custom designed components requiring intensive fabrication activities of welding and grinding. Pneumatic grinding machines of different types are widely used in such industries as they offer flexibility and ease of use. However, the deployment of pneumatic tools are associated with hand transmitted vibration and related health issues. The present study aims to evaluate the extent of discomfort levels of operators and its relationship …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 3, 2016 · pp. 1–10 Read article
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Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
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Design and Implementation of a Smart RFID-Based Library System Using ESP32
Abstract: Recent advancements made in automated technologies have created major changes in previous library management systems. The aim of the Smart Library System is to provide improved efficiency, accuracy, and security in the management of books throughout the entire borrowing and returning process, as well as throughout the entire process of maintaining an accurate inventory of books. Each book has an RFID tag embedded within it while each registered user of …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 39–47 Read article
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Innovative Applications of AI and Machine Learning in Voice-Driven Systems: Friday AI 2.0
Abstract: The development of artificial intelligence (AI) has enabled the development of increasingly sophisticated models that can understand and react to human questions. This study introduces Friday AI-2.0, a cutting-edge AI model that improves user engagement by using natural language processing (NLP) and voice synthesis technologies to produce text-based and audio-based responses. By increasing engagement through an intuitive and engaging interface, Friday AI-2.0 seeks to improve the user experience. By describing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Effect of Yoga on Police Personal’s Lung Capacity and Physiological Parameters when Added to their Fitness Training
Abstract: Aim: Occupational hazard of the stress of police duty requires regular rejuvenation of the physical and physiological capacity of the body for handling daily challenges. Hence this pre- and post- intervention effect evaluation was conducted among a cohort of Delhi police personnel to estimate physical and physiological changes with added Yoga during the ongoing fitness schedule for on-duty police personnel. Methods and Material: police personnel n-53, gender male, aged 40-45 …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 10, Issue 1, 2023 · pp. 33–41 Read article
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Study on Neuralink Chip: Brain–Computer Interface
Abstract: Neuralink, established by Elon Musk in 2016, is a neurotechnology firm focused on creating advanced brain-machine interfaces (BMIs) with enhanced data transfer capabilities. These interfaces aim to enable individuals to communicate more effectively and gain a deeper understanding of interactions with computers and other devices. One of the company's best experiences is the development of a new implantable device called the Neuralink chip. The Neuralink chip is a small device …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 43–48 Read article
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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The Analysis of Deep Learning-Based Methods for Identifying Diabetic Retinopathy
Abstract: Diabetic retinopathy (DR) is a degenerative eye condition resulting from diabetes mellitus, where high blood glucose levels lead to lesions on the retina. This condition is considered the leading cause of blindness among working-age diabetic patients, particularly in developing countries. As the disease is irreversible, the treatment aims to preserve the patient’s current vision. Early detection is crucial for effective management of DR to maintain vision. One of the main …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 15–31 Read article
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Overview AI-Driven Antenna Technologies and Privacy- Preserving Methods for Next-Generation 6G Wireless Systems
Abstract: The next generation of wireless communications, 6G, will be built on the convergence of artificial intelligence (AI) and advanced antenna systems. AI-driven antennas are poised to address the unprecedented requirements for data rate, reliability, adaptability, and ubiquity in future networks. An overview of current advancements in AI-enabled antenna systems for 6G networks is provided in this study. From traditional base station deployments to distributed, cell-free, and user-centric frameworks, it examines …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 28–34 Read article
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The Future of Electronic Communication Systems in the Digital Age
Abstract: Electronic communication networks underpin modern society, offering seamless interaction across geographical, social, and economic borders. These systems are transforming into faster, more reliable, and smarter ones as digital technologies improve. This article discusses the future of Electronic Communication Systems in the context of 5G Technology, IoT, AI, and Quantum Communication. These technologies should revolutionise data transfer by increasing capacity, lowering latency, and enabling real-time communication across platforms. Due to need …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 39–48 Read article
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Internet of Things: Threats and Security
Abstract: Security is the most important in today’s world as we have personal and confidential data which we do not want to share with anyone, but somehow attackers attack on our data and steal our identity. Same happens in IoT, attackers somehow attack on devices or communication channels and steal the data. This study reviews all the threats and security issues in IoT. Nowadays, devices are made in such a way …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 7–11 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters
Abstract: In recent years, the realm of smart water meters has undergone a transformative evolution driven by the integration of computational intelligent techniques. This research work embarks on an exploration of the multifaceted applications of these techniques, delving into their profound impact on enhancing the functionality and efficiency of smart water meters. The convergence of artificial intelligence (AI) and machine learning (ML) algorithms with smart water meters presents a paradigm-shifting opportunity …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 66–74 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Harnessing Artificial Intelligence for Precision Physics: A Machine Learning Framework for Data Reconstruction in Support of India's Deep-Tech Missions
Abstract: India's emergence as a global leader in deep-tech innovation is driven by ambitious scientific megaprojects, including the Laser Interferometer Gravitational-Wave Observatory (LIGO)-India, the X-ray Polarimeter Satellite (XPoSat), the Aditya-L1 solar observatory, and the National Quantum Mission (NQM). However, the unprecedented scale and complexity of the observational data generated by these missions present severe computational bottlenecks. Traditional analytical frameworks struggle with non-stationary noise transients, diffusion blurring, and the exponential scaling limits …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 48–55 Read article
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Artificial Intelligence in Trigonometry: Innovations, Applications, and Future Prospects
Abstract: Artificial Intelligence (AI) has transformed numerous scientific fields, yet its integration with classical mathematics such as trigonometry is still emerging. This paper explores how AI enhances trigonometric problem solving, learning, and real-world applications. We analyse AI-driven tools for teaching trigonometry, AI in geometric and spatial reasoning, usage in robotics and computer vision, and future directions for research. Key challenges, methodologies, and case studies are discussed to provide a comprehensive overview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article