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769 articles for “AI automation”
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Evolving Face of Quality in The World Robotics Process Automation (RPA)
Abstract: Robotics Process Automation (RPA) is a technology that automates repetitive and rule-based tasks using software robots or "bots." These bots mimic human interactions with digital systems and perform tasks like data entry, validation, report generation, and system integration. RPA leverages AI and ML to improve operational efficiency and can be applied across industries and functions. Implementing RPA offers benefits such as error reduction, productivity enhancement, and cost savings. RPA is …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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Role of Generative AI for Advanced Shell Language Design
Abstract: This study explores the emerging field of applying Artificial Intelligence (AI), specifically generative AI, to enhance shell scripting, a crucial skill for system administration and automation. While the formal design of entirely new shell languages using AI remains a long-term prospect, the current focus is on augmenting how existing shell languages are used for improving the scripting experience. This involves leveraging AI for tasks like automated script generation, intelligent code …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 22–27 Read article
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Advances in Medical Robotics: Surgical Automation and Rehabilitation Systems
Abstract: Medical robotics has emerged as a groundbreaking technology, transforming modern healthcare through advancements in surgical automation and rehabilitation systems. Robotic-assisted procedures machine learning (ML), and artificial intelligence (AI) have all been used to improve patient recovery consequences, reduce invasiveness, and increase surgical precision. These developments have redefined traditional medical techniques by opening the door for more effective, precise, and tailored therapies. By improved dexterity, stability, and vision, surgical robots has …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 31–38 Read article
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Advanced Collaboration and Project Management Platform
Abstract: The growing dependence of employees on remote and hybrid working modes worldwide has driven a demand for modern collaborative platforms to optimize project management. All organizations are keen on solutions that enhance workflow efficiency, facilitate seamless communications, and boost overall productivity. The study presents an advancement in project management collaboration and aims at finding solutions to meet those demands, using API integration. The study explores the extent to which API …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 11–18 Read article
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IoT based Home Automation System
Abstract: The main aim of this project is to develop a wireless home automation system using an Arduino UNO, controlled by any Android OS smart phone. In this time automatic systems are being preferred over manual system. As the technology is advancing so houses are also getting smarter. IoT is the latest and fast growing internet technology to upgrade the systems. IoT is a fast growing technology in the everyday life …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 1, 2021 · pp. 31–35 Read article
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Experimental Study on the Effect of Nose Radius for Multiple Responses in Turning of EN24 Using Grey Analysis
Abstract: The present work is to study the effect of turning process parameters on the multiple responses of material removal rate (MRR) and surface roughness (Ra). The experiments were carried out on EN24 a medium carbon steel which has a wide range of applications in the field of aircraft and automotive and mainly use in components such as gears, shafts, studs and bolts, connecting rods, propeller or gear shafts and aircraft …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 3, 2018 · pp. 10–16 Read article
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The Role of AI-Powered Assessment Tools in Improving Educational Feedback in Nigeria
Abstract: Educational systems in Nigeria face a persistent challenge in delivering high-quality, timely, and personalized feedback, due primarily to large class sizes, heavy teacher workloads, and reliance on traditional assessment methods. This study investigates the potential of integrating Artificial Intelligence (AI)-powered assessment tools to overcome these systemic barriers and improve the quality of educational feedback within the Nigerian secondary school context. Employing a quantitative cross-sectional survey design, data was collected from …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 31–41 Read article
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Quality Control Process in an Automobile Industry
Abstract: This paper aims to provide a deep insight about the quality control process in an automobile industry. It helps to understand the quality process of an automobile industry and proposes some processes by the help of which we can improve the overall quality of product manufactured in an automobile industry. Case studies have been done to see the comparison, analysis and decision making regarding the implementation of quality process. This …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 24–27 Read article
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AI Based Quality Analysis of Industrial Products
Abstract: The project introduces a new method for sampling data from a group, addressing limitations in traditional approaches. It highlights inefficiencies in inspecting only a few items from a batch, potentially leading to the rejection of entire lots due to isolated errors. To counter these challenges, a system is being designed to automatically inspect every gear in a batch. This system incorporates a conveyor belt for gear movement and a camera …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 39–45 Read article
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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 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
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Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges
Abstract: The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots' capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 31–43 Read article
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Industry 6.0: Building a Sustainable Future
Abstract: The next stage of industrialization, known as Industry 6.0, is centered on developing intelligent, fully integrated manufacturing systems that require little human involvement. India is in a perfect position to become a major player in the sector 6.0 ecosystem, thanks to its robust technological infrastructure, fast expanding economy, and large talent pool. It blends big data, cloud computing energy, human-robot interaction, artificial intelligence, and quantum computing. The main aim of …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 25–32 Read article
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Exploring Artificial Intelligence in the Finance Sector
Abstract: Artificial intelligence (AI), machine learning (ML), and progressive algorithms illustrate a substantial technological leap with wide applications across sectors like automobiles, healthcare, gaming, finance, entertainment, and more. The foremost objective of AI is to produce intelligent, independent systems capable of self-sustaining decision-making. This study delivers a concise summary of AI, concentrating on its transformative influence on finance, especially within banking, asset firms, derivatives markets, and insurance enterprises. It summarizes the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 16–23 Read article
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Human-robot Collaboration in Manufacturing: Safety, Efficiency, and Technological Developments
Abstract: Human-robot collaboration (HRC) has emerged as a transformative force in modern manufacturing, significantly enhancing productivity, operational flexibility, and overall efficiency. This review article explores the fundamental aspects of HRC, with a particular focus on safety protocols, efficiency optimization, and technological advancements that are shaping the future of collaborative robotics. Ensuring safety in HRC environments is a primary concern, necessitating the implementation of advanced safety measures, risk assessment methodologies, and compliance …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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A well-planned strategy for a career path in VLSI design
Abstract: Very Large Scale Integration (VLSI) design is still one of the most active and important areas of the semiconductor industry. It is behind new developments in AI, 5G, automotive electronics, and high-performance computing. As companies like Intel, TSMC, and NVIDIA work to improve advanced-node technology, the need for qualified VLSI engineers is growing. However, people who want to work in this industry typically don't know what technical skills, tools, and …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 28–39 Read article
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Enhanced Synthesis Methods and Comprehensive Material Response Analysis in Alloy-Infused Nanocomposites
Abstract: This study looks into the most advanced ways to make alloy-infused nanocomposites and how they react to different materials. It focuses on how these nanocomposites can be used to process and make plastics and composites. A lot of people are interested in alloy-infused nanocomposites because they have better mechanical, thermal, and electrical qualities than regular composites. The goal of this study is to improve the methods used for making nanocomposites …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 175–191 Read article
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Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
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Influence of Tib2 Wt. % on the Microstructural and Mechanical Properties of In-Situ Processed Stir-Cast Metal Matrix Composite of Al-6061
Abstract: Currently, there is an increasing trend in the automotive and aerospace industries towards the adoption of lighter and stronger materials to reduce weight and enhance fuel efficiency. Metal matrix composites must be developed in order to increase the overall performance of automobiles and aircraft as a result of this transition. Among the various composite materials employed, Aluminium Matrix Composites (AMCs) are frequently utilised to meet stringent industrial requirements. The purpose …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 655–661 Read article
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Mechanical Testing Under Tensile-load
Abstract: Mechanical testing is a technique used to establish a material's mechanical qualities by examining its strength, toughness, hardness, and other characteristics. Specimens produced of various materials whose qualities need to be examined are used to verify this property. In which a static load is applied and a dynamic load is applied, and the test is completed. Understating loads in mechanical testing is the topic of this research article. Any manufacturing …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article