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112 articles for “Artificial intelligence”
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Advancements in Predictive Maintenance: A Review of Data-Driven Approaches, Machine Learning, and AI in Diverse Industrial Landscapes
Abstract: The Internet of Things (IoT), the use of machine learning (ML), and artificial intelligence (AI)-driven advances in predictive maintenance are the key topics of this study. With the goal of offering a thorough grasp of existing approaches and potential future developments, it analyzes applications in predictive maintenance in many sectors. Predictive maintenance approaches are the major topic of discussion, with an emphasis on their advantages, disadvantages, difficulties, and prospects. Additionally, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
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Improving Safety Outcomes in the Construction Industry: A Study of Effective Safety Management Techniques
Abstract: Abstract The construction industry is notorious for its high rates of workplace accidents and fatalities, necessitating a critical evaluation of safety management practices. This paper investigates effective safety management techniques within the construction sector, emphasizing the integration of traditional safety measures with emerging technologies to enhance safety outcomes. A mixed-methods approach is employed, combining quantitative data analysis from industry reports and qualitative insights gathered from case studies of five construction …
Published in International Journal of Architectural Design and Management · Vol. 10, Issue 2, 2024 · pp. 15–20 Read article
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Optimizing Aircraft Navigation Control: An ExtensiveReview
Abstract: In the earlier world, the number of airplane uses and transportation through airlines were limited butnow the people are upgraded, and they choose the easiest way for transportation then naturally the airtraffic is also increased. Optimizing aircraft navigation control has become an important field ofresearch because of the quick advances in aviation technology and the growing desire for economicalair travel. A detailed overview of contemporary aircraft navigation optimization techniques,technologies, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 32–36 Read article
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Design of a Home Server Employing PCIe
Abstract: The abundance of multimedia data in the modern digital era has created both previously unheard-ofobstacles and opportunities for data storage and management. With a focus on its use as a HomeServer, this research paper explores the world of network-attached storage (NAS) and its crucial rolein overcoming these difficulties. Beginning with an explanation of the development and importance ofmultimedia data management, the paper emphasizes the necessity for effective and convenient storageoptions. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 1–12 Read article
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Farm Management for Sustainable AI and IOT Based Agriculture
Abstract: The sector of agriculture has undergone a transformation thanks to the integration of synthetic Artificial intelligence (AI) and The Internet of Things. This has made it conceivable to move towards smart agriculture and promote the evolution of sustainable farming methods. In-depth study of the uses, approaches, difficulties, and potential applications IoT and AI in intelligent agriculture and sustainable farming is offered in this survey report. We examine the several AI …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Revolutionizing Healthcare: The AI-Driven Transformation
Abstract: Artificial Intelligence (AI) is the use of machines, especially computers, to act intelligently without much human interference. AI is basically accepted as coming into existence with the development of robots. The term robot derives from the word robata, that means use of biosynthetic machines as forced labor. Now a days, AI is spreading its arms in the medical field by use of robotic-assisted surgery, for complex urologic and gynecologic procedures. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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Utilizing AI in Civil Engineering for the Construction of Green Buildings
Abstract: Artificial Intelligence (AI) is a discipline in computer science dedicated to creating and applying intelligent machines. This includes exploring recent innovations and methodologies for implementing AI in civil engineering and providing an overview of advancements in the field. The significant progress in big data, deep learning, and machine learning technologies has been successfully applied across various civil engineering sectors. Key areas of AI research in civil engineering encompass structural management, …
Published in International Journal of Construction Engineering and Planning · Vol. 10, Issue 1, 2024 · pp. 31–38 Read article
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IOT-enabled Anti-poaching System for Protecting Wildlife and Forests Through Advanced Monitoring and Alert Mechanisms
Abstract: Forests are essential for preserving the intricate ecological harmony of our planet, serving as critical habitats for numerous animal species. Unfortunately, this equilibrium is increasingly jeopardized not only by illegal logging but also by the scourge of animal poaching the global demand for exotic animal parts and products fuels poaching, which presents a major menace to wildlife populations across the globe. The repercussions of poaching extend far beyond individual animals. …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 · pp. 36–44 Read article
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e-Kidney Filtration System (EKS) Using Sensor: A Study
Abstract: This research presents the design and preliminary validation of an E-Kidney Filtration System (EKS), an innovative artificial kidney leveraging advanced sensor technology for precise and adaptable blood filtration. Traditional hemodialysis, while life-sustaining, is a passive process with inherent limitations in its ability to dynamically respond to individual patient needs and fluctuations in physiological parameters. EKS aims to overcome these limitations by integrating a suite of real-time biosensors and electrochemical sensors …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 31–40 Read article
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Comparison of Back propagation control algorithm with P-Qtheory for power quality improvement using DSTATCOM under steady state condition
Abstract: Providing consumers with high-quality power is the distribution operator's primary goal. Distribution Static Compensator (DSTATCOM), Dynamic Voltage Restorer (DVR), and Unified Power Quality Conditioner (UPQC) are examples of power converter-based custom power devices (CPDs) that are well-known for enhancing the distribution system's power quality. In order to lessen source-side supply power harmonics, DSTACOM is taken into consideration in this work. Any bespoke power device's performance is heavily dependent on the …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 25–34 Read article
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Design and Implementation of an IoT-Based Smart Lux Level Controller for Intelligent Lighting System
Abstract: In order to improve the automation and effectiveness of lighting systems in smart buildings, this research details the development of a Smart Lux Level Controller based on the Internet of Things (IoT). Using a BH1750 light sensor, the system continually measures the ambient lux levels and instantaneously adjusts the artificial lighting intensity to ensure optimal illumination. An ESP32 microcontroller analyzes sensor data and controls lights using relay switches or dimming …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article