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491 articles for “Detection Challenges”
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Evolution of Protection Coordination Methods in Power Distribution Systems: A review
Abstract: This comprehensive paper presents a broad-ranging exploration of the multifaceted challenges inherent in coordinating over-current relays within distributed generation (DG) systems in the context of power grids. Within these systems, the pivotal roles of both protective devices and the overarching protection system are highlighted, emphasizing their joint responsibility in detecting short-circuit currents and swiftly isolating faulty components. The primary objective of this protection coordination is to ensure the meticulous selection …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 3, 2023 · pp. 9–16 Read article
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Future-Ready Communication Systems: Exploring High-Speed, Adaptive, and Secure Network Solutions
Abstract: The domain of electronics communication systems has experienced rapid transformation due to the growing demand for high-speed, reliable, and intelligent communication networks. This paper presents a comprehensive analysis of emerging trends such as Fifth Generation (5G) communication systems, Internet of Things (IoT), Artificial Intelligence (AI)-enabled networks, Software-Defined Networking (SDN), optical communication advancements, and cybersecurity mechanisms. The combination of cloud computing, edge computing, and network virtualization which improve system flexibility, allow …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
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Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation
Abstract: Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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1D-Nano-Scale Porous Silicon (1D-Psi) as Optical Sensor Device
Abstract: This research article embarks on a thorough experimental inquiry into the detection of kerosene adulteration in petrol, employing a sophisticated one-dimensional microcavity of nano-scale porous silicon (1D-PSMC) sensing device. The significance of this investigation stems from the detrimental consequences of petrol adulteration, which not only aggravates environmental pollution but also jeopardizes the functionality and durability of machinery components, thereby posing significant economic and environmental challenges. The 1D-PSMC, designed to function …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 69–75 Read article
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Application of Grey Wolf Optimizer (GWO) strategy for Malware Analysis
Abstract: The ever-evolving landscape of cybersecurity necessitates continuous advancements in malware analysis techniques. This study explores the deployment of the Grey Wolf Optimizer (GWO) algorithm as a novel bio-inspired optimization mechanism to address the challenges posed by modern malware threats. The primary objective is to enhance various facets of malware analysis, including feature selection, parameter optimization, and the overall efficacy of malware detection models. The study begins by introducing the GWO …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 43–53 Read article
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Stiff Person Syndrome: Advances in Understanding, Diagnosis, and Treatment of a Rare Autoimmune Disorder
Abstract: Stiff Person Syndrome (SPS) is a rare and complex autoimmune neurological disorder characterized by progressive muscle stiffness, rigidity, and painful spasms. This chapter provides a comprehensive overview of SPS, exploring its pathophysiology, clinical presentation, diagnostic challenges, and current treatment approaches. We discuss the latest research findings, including the role of autoantibodies, genetic factors, and environmental triggers in the development of SPS. The chapter examines various diagnostic methods, emphasizing the importance …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 35–43 Read article
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Leveraging IoT for Real-Time Disaster Management: Enhancing Preparedness and Response Through Smart Monitoring
Abstract: Natural disasters, including floods, earthquakes, and wildfires, pose risks to human life, infrastructure, and the environment. Many of the technological innovations are there, but in managing such disasters, there still is room for inefficiencies resulting from communication delay, unavailability of real-time data, and poor coordination at times. The inefficiencies lead to response times that are too long, inappropriate allocation of resources, and increased vulnerability to the impacts of disasters. Integration …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 11–17 Read article
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Cardiovascular Illness Detection and Categorization with Innovative Neural Networks
Abstract: Health-related problems are increasingly prevalent in modern-day societies and are significantly shaped by a multitude of factors encountered in everyday life. Among these, cardiovascular diseases have emerged as one of the primary causes of death on a global scale, posing serious challenges to public health systems. In response to this growing concern, the present study proposes a machine learning-based framework that is not only highly effective but also reliable and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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A Survey of Several Machine Learning (ML) Algorithms for Security Solution in Internet of Things (IoT) Networks
Abstract: The Internet of Things (IoT) refers to the integration of physical objects with the Internet, allowing for connectivity and monitoring. This idea has garnered immense attention from researchers and users alike, driven by the widespread accessibility of the Internet. It spans a wide range of devices, including smart versions of conventional appliances, innovative tools tailored for Internet-enabled ecosystems, and sensors that leverage connectivity to revolutionize industries such as manufacturing, healthcare, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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A review on polyhouse monitoring system
Abstract: The integration of Internet of Things (IoT) technology in agriculture has revolutionized traditional farming practices, offering innovative solutions to enhance productivity, sustainability, and resource efficiency. This study explores the role of loT-based systems in smart agriculture, focusing on applications such as environmental monitoring, automated irrigation, crop health prediction, and precision farming. The reviewed systems utilize advanced sensors to monitor parameters like temperature, humidity, soil moisture, and light intensity, transmitting real-time …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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RFID Technology Adoption in Libraries: A Review of Current Trends and Challenges
Abstract: The radiofrequency identification system (RFID) makes it possible for devices like computers or machines to automatically recognize things, record metadata, or control certain targets. Identifying objects that are out of direct line of sight is feasible thanks to a technology called radio frequency identification, or RFID. For administering the automated library and detecting theft, libraries are using themost recent technologies. The inventory, issuance, and return status of books, gadgets, and …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 2, 2023 · pp. 1–6 Read article
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Physically Challenged People Health Monitoring System Using Blynk Server
Abstract: Because of the fast pace of modern life, keeping an eye on persons who are physically challenged is a challenging task. Examining the medical histories of persons who are physically challenged who live in their homes is a challenging endeavor. In this paper, a proposal was made to maintain a continuous health monitoring system for intelligent people who are physically challenged. The system would use sensors to monitor the health …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 3, 2022 · pp. 11–18 Read article
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Multi-functional UAV for Disaster Response and Management
Abstract: Unmanned Aerial Vehicles (UAVs), commonly known as drones, have become integral across diverse fields such as agriculture, surveillance, and defense, with expanding roles in critical operations like search and rescue and post-disaster management. Despite their versatility, current UAVs encounter challenges in disaster response due to limitations in flight time, costs, and accuracy, particularly in dynamic weather conditions. The UAV is equipped with features essential for disaster site surveillance, human detection, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Designing and Developing a Cancer Chatbot in a Website
Abstract: Cancer is a disease that affects millions of people worldwide each year and is characterized by the rapid growth of cells that are abnormal. The outcome is affected since numerous cases are discovered at advanced stages of the disease. Anxiety and depression are two mental health issues that frequently coexist with the illness, worsening its effects on sufferers. There were many medical apps that provide guidelines for patients, but these …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Real-time Crop Monitoring Using Internet of Things
Abstract: IoT has been deployed in cities, and it is already playing an important role in transforming agriculture from such a manual process to an automated and remotely controlled one. New developments within Internet of Things and changes in agriculture have helped satellite agriculture and prepare farmers for the challenges of precision and sustainable agriculture. Data may be collected remotely from a wide variety of sensors put in the field thanks …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 3, 2022 · pp. 41–51 Read article
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Navigating Privacy and Security in Cloud Computing
Abstract: Cloud computing has rapidly evolved, serving as a cornerstone for storage, information processing, and various applications. Its adoption has surged across enterprises and small businesses alike, offering them efficient means to store and process data. However, alongside its undeniable benefits, the cloud also presents inherent risks to privacy and security, as data traverses and resides on remote servers. Employing tactics such as data encryption, multifactor authentication, access control, and intrusion …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Sustainable Livestock Management Practices: Reducing Environmental Impact, Improving Animal Welfare, and Increasing Productivity
Abstract: Sustainable livestock management is essential for addressing the increasing global demand for animal products while reducing environmental impact, safeguarding animal welfare, and sustaining productivity. This review explores sustainable approaches in livestock farming, emphasizing strategies to reduce environmental degradation, enhance animal welfare, and boost productivity. Environmental impacts, including greenhouse gas emissions, nutrient runoff, and water usage, present significant challenges. Sustainable practices such as efficient nutrient management, low-emission breeding, dietary interventions, and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 2, 2024 · pp. 23–27 Read article