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862 articles for “Data Monitoring”
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Human Skin Abnormality Detection with Process Similarity Criteria Fit Machine Learning Method
Abstract: This method presents a machine learning method that satisfies the defined conditions for healthy waterside beach activities. The boundary conditions of the normal and abnormal radiation spaces were formulated. The objectives of using a Regression Polynomial with Process Similarity Criteria Fit for skin temperature prediction are justified by the analysis of the existing analytical and machine learning approaches. An algorithm for skin temperature prediction using the theories of similarity criteria …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article
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Innovations in Atmospheric Remote Sensing: From Satellites to Lidar and Beyond
Abstract: Atmospheric remote sensing plays a vital role in monitoring and understanding the Earth's atmosphere, providing essential data for climate studies, weather forecasting, and environmental management. This review discusses various remote sensing technologies, including satellites, radiometers, lidar, radar, and GPS radio occultation, each contributing unique capabilities for atmospheric observations. Satellite remote sensing allows for global coverage and continuous monitoring of atmospheric parameters, while ground-based systems enhance localized measurements. Key applications include …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 10–15 Read article
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A Transformative Approach to Empathetic Climate Change by Satellite Sensing
Abstract: Satellite sensing is becoming an increasingly important instrument for risk assessment and management as coastal communities continue to grapple with the myriad of dangers that are posed by climate change. Through the utilization of this technology, environmental scientists, legislators, and urban planners have the potential to make more informed decisions, which will ultimately lead to coastal communities that are safer and more resilient. The incorporation of satellite data into urban …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 35–42 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
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IoT-based Marine Life Tracking and Pollution Monitoring System
Abstract: In the contemporary world, marine pollution stands as a significant challenge that has adversely affected oceans over the decades. This issue has been exacerbated by human activities, including the improper disposal of sludge, oil spills, and agricultural runoff entering marine environments without adequate regulatory oversight. The repercussions of ocean pollution are detrimental, impacting marine ecosystems, the environment, and ultimately human health. The Internet of Things (IoT) has emerged as a …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 11–20 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Smart Infrastructure Systems: A New Era in Civil Engineering and Infrastructure Management
Abstract: Civil engineering has experienced a significant technological shift due to the adoption of smart infrastructure systems. The integration of the Internet of Things (IoT), artificial intelligence (AI), and big data analytics has facilitated real-time monitoring, predictive maintenance, and improved infrastructure management. These advancements have transformed the planning, design, and operation of roads, bridges, water systems, and buildings. By employing smart sensors and AI-driven algorithms, engineers can now optimize the entire …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 38–43 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics Read article
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Incorporating Mobility to Sensor Networks during Node Failure and Their Analysis for Radio Propagation Models
Abstract: AbstractWireless sensor networks are expected to find wide applicability and increasing deployment in the near future. It consists of spatially distributed autonomous sensors to monitor physical or environmental conditions and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance, many …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 1, 2014 · pp. 29–35 Read article
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Farmer’s Eye: A Sustainable Crop-Field Monitoring System
Abstract: This paper outlines the creation and implementation of an Internet of Things (IoT)-driven smart agriculture monitoring system. It aims to tackle major issues in agriculture, such as inefficient irrigation, excessive resource use, and a lack of real-time data. The system focuses on the Arduino Uno, which connects to a variety of sensors: soil moisture for measuring substrate conditions, DHT11 for monitoring ambient temperature and humidity, MQ135 for checking air quality, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 19–27 Read article
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The Potential of Li-Fi for High-Speed Underwater Data Transfer
Abstract: Recently, there has been a growing interest in using underwater communication (UC) to monitor obstacles and marine life in oceans. Unlike conventional methods which struggle due to the absorption of radio waves in water, Li-Fi technology has emerged as a promising solution. Li-Fi utilizes light to transmit data, making it effective for underwater communication as light can penetrate deep into the ocean. In a recent study, researchers successfully demonstrated real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 10–17 Read article
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Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article
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Smart Weather Monitoring System Using ESP32 and IoT
Abstract: The increasing unpredictability of climate conditions necessitates an efficient and real-time weather monitoring system. The following paper describes an IoT weather monitoring system using the ESP32 microcontroller, connected to various environmental sensors to gather and process atmospheric information. The system uses a DHT11 sensor to measure temperature and humidity, an MQ135 gas sensor for measuring air quality, and a PM2.5 sensor to measure the level of particulate matter. The ESP32 …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 25–36 Read article
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From Battlefield to Biodiversity: The Evolution of Drones in Modern Conservation Efforts in Wildlife
Abstract: The rapid advancement of drone technology, encompassing unmanned aerial vehicles (UAVs), unmanned aircraft systems (UAS), and remotely piloted aircraft (RPAs), has significantly impacted various fields, particularly environmental management and wildlife conservation. Originally designed for military use, drones have now become essential tools in ecological research, offering a cost-effective and minimally invasive way to monitor and protect ecosystems. These sophisticated "eco-drones" have revolutionized data collection, especially in hard-to-reach and previously inaccessible …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 8–12 Read article
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Wearable Devices Incorporating Nanostructured Biosensors: Enabling Real-Time Monitoring and User-Friendly Interfaces
Abstract: Wearable devices incorporating nanostructured biosensors have emerged as a revolutionary technology, enabling real-time monitoring of various physiological parameters and biomarkers. These devices leverage the unique properties of nanostructured materials, such as high surface-to-volume ratio, enhanced sensitivity, and improved electrical and optical characteristics, to achieve exceptional performance in terms of sensitivity, selectivity, and response time. This chapter explores the recent advancements in wearable devices with nanostructured biosensors, highlighting their applications in …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 13–21 Read article
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Iot Cloud for Hydroponics System and Agriculture
Abstract: The integration of Internet of Things (IoT) technology into hydroponic systems has revolutionized modern agriculture, enabling more efficient resource utilization and higher crop yields. This project offers an Internet of Things cloud solution intended to handle the difficulties in hydroponic system management and monitoring. By leveraging sensors to collect essential data such as temperature, humidity, pH levels, nutrient concentration, and light intensity, this solution facilitates real-time data transmission to a …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Flavor Flow: Web Implementation of Food Ordering System
Abstract: Our proposed framework is a web food request framework that enables customers to use it easily. It subdues the disadvantages of the queuing system. The proposed framework could serve as a platform for convenient online food ordering from restaurants. This system enhances the process of receiving orders from customers. The online food ordering system presents a menu online, allowing customers to place orders according to their preferences easily. Additionally, customers …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 11–15 Read article
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Enhancing Wildlife Tourism Management Using Deep Learning and Particle Swarm Optimization (PSO) for Animal Detection in Wildlife Sanctuaries
Abstract: Wildlife tourism is one of the most thriving sectors, faced with huge challenges in terms of safeguarding protected areas. As demand for wildlife experiences accelerates, it becomes necessary to find efficient measures that are friendly to conservation. The use of these advanced techniques in this field such as YOLO and PSO algorithm presents a new dimension on managing wildlife tourism. To harness the abilities of these techniques, this research centers …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 41–50 Read article
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Real-Time Object Detection and Tracking in Traffic Surveillance: Implementing Algorithms That Can Process Video Streams for Immediate Traffic Monitoring
Abstract: The rapid growth in urban development and traffic congestion calls for adopting high standards of traffic surveillance systems for monitoring. This paper reviews the current advancement and future trends of real-time object detection and tracking technology and its implications for traffic surveillance. Conventional approaches to traffic monitoring can provide more or less accurate data, but they are not easily scalable and cannot cope with rapidly changing conditions typical within urban …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 18–39 Read article
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Sustainable Feeding Practices for Dairy Development in the tropics: Exploring Cost Reduction through Resource Optimization
Abstract: Sustainable feeding practices are crucial for enhancing the economic viability and environmental responsibility of dairy farming. This review explores innovative strategies for cost reduction through resource optimization, aiming to minimize feed expenses while maintaining animal health and productivity. A comprehensive examination of over 100 cost-saving measures reveals diverse approaches, including nutritional planning, pasture management, and the incorporation of alternative feed sources. The integration of precision feeding techniques, waste utilization, and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 11–19 Read article