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1684 articles for “capping”
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Limits to Knowledge-Sharing by Computers
Abstract: The rapid advancement of artificial intelligence (AI) and machine learning (ML) has significantly enhanced the capabilities of computers in processing, analyzing, and disseminating knowledge. However, despite these advancements, there are inherent limits to the extent that knowledge-sharing can be fully realized through computer systems. This study explores the various barriers that hinder the effective sharing and transfer of knowledge through machines, including technological limitations, ethical concerns, and the complexities of …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 01–05 Read article
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Biohybrid Machines: Integrating Organic Systems with Robotics for Enhanced Mobility and Function
Abstract: Biohybrid machines are an innovative frontier at the intersection of biological systems and robotics. This research field explores the integration of living organisms with machines, combining the advantageous characteristics of both synthetic materials and biological components. Through the integration of organic cells, tissues, and even entire organisms with robotics, biohybrid machines possess unique capabilities such as self-healing, adaptability, and energy efficiency, making them more suitable for tasks that require flexibility …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 30–37 Read article
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Improve Power Quality in Photovoltaic and Wind Energy Systems Through the Utilization of DSTATCOM
Abstract: This paper explores the power quality challenges faced by distributed generation systems that are powered by renewable energy sources, e.g., wind and solar. It provides an in-depth examination of these power quality issues, starting with an overview and examination of basic standards. The research also explores power quality in power systems, specifically those connected to the electrical grid and renewable energy sources. It gives a comprehensive discussion of power quality …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 33–44 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Self-Healing Polymer Composites for Pharmaceutical Packaging Applications
Abstract: Pharmaceutical packaging plays a crucial role in ensuring the safety, stability, and effectiveness of pharmaceutical products. Conventional polymer-based packaging materials are prone to mechanical damage, microcracks, and environmental degradation, which can compromise drug integrity. Self-healing polymer composites (SHPCs) offer a promising solution by enabling autonomous or stimuli-responsive repair mechanisms that restore packaging integrity, enhance durability, and extend product shelf life. These materials function through intrinsic mechanisms, such as dynamic covalent …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 648–658 Read article
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Pathophysiology Reimagined: Integrating Systems Biology and AI for Disease Understanding
Abstract: Pathophysiology, the study of disease mechanisms at molecular, cellular, and systemic levels, has traditionally relied on reductionist approaches that often fail to capture the complex, dynamic, and interconnected nature of biological systems. Diseases such as cancer, neurodegenerative disorders, and infectious diseases arise from intricate interactions among genetic, epigenetic, metabolic, and environmental factors, necessitating integrative, data-driven methodologies for a deeper understanding. Systems biology has emerged as a powerful approach by leveraging …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 63–71 Read article
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Design and Development of Experimental Test Rig for Fatigue Life Estimation of Freewheel One-Way Clutch Used in Switchgear Applications at High Overrunning Speeds
Abstract: Freewheel one-way clutch (OWC) is a critical component used in industrial circuit breakers/switchgear to facilitate quick disengagement of the drive when an electrical circuit trips under overcurrent. The clutch acts as a safety device to endure high overrunning speeds and allows the drive shaft to rotate at normal operating speeds during each tripping cycle. The trip mechanism utilizes the stored potential energy of the helical compression spring, which is the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 289–299 Read article
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Library Development: Transition from Traditional to Artificial Data
Abstract: Presently, conventional libraries, although using information tools, are encountering difficulties in effectively managing books. Traditional libraries must embrace innovation and adapt to the AI society in this technological age. Internet-of-things (IoT) technologies have the capability to collect data in real-time. By implementing business process re-engineering, it is possible to improve and optimize certain procedures. Implementing an AI library management system that incorporates IoT and automates the fundamental operations of a …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 33–39 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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Integrating Indigenous Knowledge in Land Conservation: A Review of Best Practices
Abstract: Indigenous knowledge systems have long played a crucial role in sustainable land conservation practices. These traditional practices, developed over centuries, offer valuable insights into ecosystem management, biodiversity preservation, and climate resilience. This review article explores best practices in integrating indigenous knowledge with modern conservation efforts, emphasizing the benefits of blending ancestral wisdom with contemporary scientific approaches.By analyzing case studies and theoretical frameworks, this study highlights successful approaches to harmonizing traditional …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 1–5 Read article
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Design and Development of Pipe Bending Machine
Abstract: The design and development of a pipe bending machine are crucial for various industrial applications, including the construction, automotive, and manufacturing sectors. Bending is a fundamental metalworking process that involves deforming pipes, tubes, square hollows, and rods without compromising their structural integrity. This study focuses on designing a cost-effective and efficient pipe bending machine that can accommodate different pipe sizes and materials. The key design considerations include selecting an appropriate …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 22–30 Read article
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IoT and Node MCU based Smart Logistics
Abstract: Logistics plays a key role in global economies, encompassing the planning, implementation, and control of goods movement. Traditional logistics systems often suffer from inefficiencies, such as manual tracking, delays, and lack of real-time visibility, leading to increased costs and environmental waste. The advent of IoT has revolutionized this sector by enabling interconnected devices to gather and argument data seamlessly. At the heart of many IoT applications is Node MCU. It …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 38–50 Read article
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Computers: Evolution, Breakthroughs, and Future Innovations
Abstract: The computer, a cornerstone of modern technology, has evolved through significant inventions and innovations that have transformed societies and industries worldwide. From the early mechanical calculating machines, such as Charles Babbage’s Analytical Engine, to the advent of electronic computers like the ENIAC, the journey of computing is marked by breakthroughs that have enabled rapid advancements in data processing, communication, and automation. The introduction of integrated circuits, microprocessors, and the development …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 11–23 Read article
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Structural Behavior of Flexible and Semi-Rigid Beam-Column Joint Connections by FEM
Abstract: This study investigates the structural behavior of flexible and semi-rigid beam-column joint connections in cold-formed steel (CFS) structures, focusing on the use of Finite Element Modeling (FEM) to simulate their performance under various loading conditions. Traditional analysis methods often oversimplify beam-column connections, treating them as either perfectly rigid or fully flexible, which does not accurately capture real-world joint behavior. In reality, many beam-column joints exhibit semi-rigid characteristics, where the stiffness …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 Read article
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A Study on Perception and Behavior of Consumers Towards Digital Financial Transactions
Abstract: The rapid evolution of digital technology, coupled with increased smartphone usage and proactive governmental policies, has revolutionized the landscape of financial transactions. This study examines consumer perceptions and behavioral patterns related to digital payment systems, with a specific focus on usage trends, preferences, and concerns. Utilizing primary data collected through a structured survey of 110 respondents in North Delhi, the research reveals that digital transactions are predominantly perceived as convenient, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 60–69 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Review of Thermal Performance of Solar Air Heaters: Influence of Composite Materials and Advanced Thermal Storage Techniques
Abstract: Solar air heaters (SAHs) are essential devices for capturing solar energy and converting it into heat, finding applications in steam generation, refrigeration, agricultural drying, and space and water heating in residential and commercial environments. However, the thermal performance of SAHs is often limited by the low heat transfer coefficient of air and the absence of solar energy during nighttime, impacting efficiency and reliability. To address these challenges, this study explores …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 488–506 Read article
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A Comparative Study of Deep Learning Methods for Depression Detection in Social Media Data
Abstract: With the rise of social media platforms like Twitter, Reddit, and Facebook, individuals increasingly share personal information about their moods, behaviors, and mental states. This trend provides a unique opportunity to leverage large-scale textual data for understanding and monitoring mental health conditions, particularly depression, a prevalent and challenging mental health issue. Traditional depression assessments are often confined to clinical environments and lack the capacity for real-time monitoring. In contrast, social …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 55–65 Read article
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Carbon Fiber Impact Attenuator: A Comprehensive Design and Analysis Approach
Abstract: In the high-stakes world of Formula One competition, accidents are a sad reality. The primary causes of these accidents are violent overtaking, high speeds, and environmental factors. All of these causes result in accidents, such as a car colliding head-on with barricades, two automobiles colliding, a car skidding on a wet track, etc. Driver safety must be improved, and accidents of this nature must be avoided. One such safety elements …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 452–468 Read article