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862 articles for “Data Monitoring”
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Oceanmind Systems: AI-Driven Marine Life Intelligence for Climate Prediction and Ocean Ecosystem Stability
Abstract: Oceans regulate global climate systems, support biodiversity, and serve as critical carbon sinks, yet they remain under-monitored relative to their ecological importance. Traditional oceanographic methods rely heavily on satellite sensing, buoy networks, and periodic marine surveys, which often fail to capture real-time biological dynamics at micro-ecosystem levels. This paper introduces OceanMind Systems, an artificial intelligence (AI)-driven marine intelligence framework that integrates marine life behavior, oceanographic data, and computational modeling to …
Published in International Journal of Marine Life · Vol. 3, Issue 2, 2026 Read article
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Portable and User-friendly Air Watch System Based on IoT
Abstract: The internet of things (IoT) based air monitoring system is a novel approach to monitoring air quality in real time. With the increasing concerns over pollution and its impact on human health, our IoT-based air monitoring system offers a solution to gather and analyze air quality data efficiently. The system utilizes IoT devices like Node MCU and sensors like MQ135 and DTH11 to collect data such as temperature, air quality, …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 19–27 Read article
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Leveraging Information Technologies (IoT, Sensor Technologies, AI, and Data Analytics) in Healthcare and Agriculture
Abstract: This paper explores the powerful convergence of digital technologies — the Internet of Things (IoT), Sensor Technologies, Artificial Intelligence (AI), and Data Analytics — in transforming healthcare and agriculture. Both sectors face pressing global challenges: rising population demands, environmental stress, disease burdens, unequal access to services, and food insecurity. Conventional systems alone cannot meet future needs. However, technology-driven, real-time data-driven systems offer innovative solutions: from automating diagnostics to forecasting pest …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 20–28 Read article
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Role of Pharmaceutical Software in Vaccine Development and Manufacturing Process Optimization
Abstract: Vaccine development and manufacturing have become increasingly complex due to the emergence of diverse vaccine platforms, stringent regulatory expectations, and global demand for safe and effective immunization. Across the vaccine lifecycle – from antigen design and preclinical evaluation to large‑scale manufacturing and post‑marketing surveillance – pharmaceutical software now plays a central role in handling data, optimizing processes, and ensuring regulatory compliance. Software tools support in silico antigen and epitope design, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 1–8 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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Smart Cardiazmo Implemented Using Internet of Things
Abstract: In this research, we present a system that uses sensors to identify a person's heart rate utilizing heartbeat sensing even if they are at home. The idea is to detect a heart attack early enough that the patient can receive medical help within the first few hours. As a result, his or her chances of survival are considerably increased. Here we use the AD8232 sensor for the cardiography of the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 3, 2021 · pp. 35–48 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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Transformer Health Monitoring System
Abstract: Rising demands for reliable and efficient power distribution in modern electric control grid increasingly call up for robust monitoring systems for critical substructure. Being a vital part of the power conduction system, transformer are subjected to mechanical, electrical, and environmental stresses, which, if not properly controlled, can cause failures. In this project, we propose a Transformer Health Monitoring System (THMS) using machine learning (ML) models and real-time monitoring method to …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 1–9 Read article
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Greenhouse House Monitoring and Controlling using Android Application
Abstract: AbstractGreenhouse monitoring and controlling system is made to ease the maintenance of the entire system of green house and to get optimum growth of plants. With the help of useful sensors like soil moisture sensor, temperature sensor and LDR interfaced with help of Arduino, we are gathering the required data and controlling different parameters that are required for better results by setting a predefined threshold value to controllers. Along with …
Published in Current Trends in Information Technology · Vol. 7, Issue 3, 2017 · pp. 24–28 Read article
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Android Based Heart Rate Variability and Body Temperature Monitoring System
Abstract: The inventions of the new technologies in the medical field are needed to improve the health system. There are many existing technologies which help in prevention of disease and regulation of patient health and have empowered the evolution of fields such as health-care monitoring. This research work presents the heart rate monitor, body temperature measurement, displaying and data-collecting at android mobile device. Heart rate, heart rate variability and temperature of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 3, 2017 · pp. 11–15 Read article
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Comparative Study of LEACH and its Optimized Variants in Wireless Sensor Networks
Abstract: AbstractTo capture sensed data from different locations, Wireless sensor network (WSN) requires large number of sensors in the monitoring area. A sensor helps in sensing and forwarding data to an application data store but due to inadequate energy, preserving the network lifetime and its operation remains a major challenge in WSN. To overcome this challenge different clustering techniques are proposed in literature. LEACH is a primitive clustering technique from which …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 1, 2019 · pp. 60–69 Read article
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An Overview on Microwave Remote Sensing for Earth Observation
Abstract: To understand the Earth from space, one must look beyond the visible eye. While optical satellites rely on the Sun’s reflection much like the human eye they are frequently blinded by the curtain of cloud cover, smoke, or the dark veil of night. To bypass these limitations, we turn to Microwave Satellite Sensing. By utilizing electromagnetic waves with wavelengths ranging from 1 millimeter to 1 meter, we can see through …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 21–25 Read article
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Animal/Object Recognition and Monitoring
Abstract: This study focuses on teaching a computer to identify leopards in images through a process called Object Detection and Image Recognition. We created a special set of pictures (dataset) containing thousands of leopard images. Using a small camera module called ESP32 CAM, we trained the computer to recognize leopards by comparing the images it captures with the ones in the dataset. The results were obtained using a Convolutional Neural Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Smart Air Filtration Systems for Cities: A Technological Approach to Reducing Urban Pollution
Abstract: Urban air pollution is considered one of the main ecologically critical issues of the 21st century since it threatens citizens' health through respiratory diseases, pathologies of the cardiovascular system, and even premature death. Regarding an extremely high level of pollution in large cities, it becomes necessary to realize technological solutions which could avoid the negative impact of this phenomenon. Smart air filtration systems have emerged as promising solutions for urban …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 2, 2024 · pp. 27–42 Read article
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Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines
Abstract: Deep learning and artificial intelligence in the field of precision medicine is revolutionizing healthcare to make personalized therapeutic approaches desirable based on the unique characteristics of the patient. AI technologies improve diagnostic accuracy by analyzing medical data, spotting patterns and anomalies that human experts may miss. AI-driven models are instrumental in precision medicine, where they can predict patient response to therapies to tailor treatment plans, enhancing outcomes and reducing adverse …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Nanomedicine in Combination with Artificial Intelligence (AI): Transforming Cancer Treatment
Abstract: The convergence of nanomedicine and artificial intelligence (AI) holds transformative potential for advancing cancer treatment, particularly in liver cancer. Nanomedicine enables the development of targeted drug delivery systems, enhanced imaging modalities, and precise therapeutic interventions, while AI facilitates data-driven decision-making, personalized treatment plans, and predictive analytics. This synergistic approach can significantly improve the diagnosis, treatment, and monitoring of liver cancer by optimizing the use of nanoparticle-based therapies. AI-powered algorithms can …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 27–30 Read article
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IOT Based Monitoring and Controlling Substation Equipment
Abstract: The project ”IoT-Based Monitoring and Controlling Substation Equipment” revolves around utilizing the Internet of Things (IoT) technology to make the substation equipment electrical monitoring and control easy. Timely monitoring of these substation equipment is utmost important in ensuring the stable and reliable operation of the power distribution system. This project will design a system whereby sensors collect real-time data on the key parameters such as voltage, current, temperature, humidity, and …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 53–58 Read article
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Precision Agriculture Revolution: A Low-cost Smart Irrigation System Empowered by IoT for Small-scale Farmers
Abstract: Precision agriculture powered by Internet of Things (IoT) is transforming traditional farming practices for improved crop yield and sustainability. This paper presents the architecture, implementation and testing of a low-cost smart irrigation system aimed at optimal utilization of water resources for small-scale farmers. The automated system monitors a suite of sensors that provide field data such as soil moisture, temperature, humidity. An intelligent controller processes this information to operate water …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 3, 2023 · pp. 21–29 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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Freshwater Resources in Delhi: A Decadal Analysis of Land Use Changes
Abstract: The escalating global concern over the pollution of freshwater resources, driven by the amplifying stress and scarcity of freshwater, underscores the significance of this study. The investigation examined the alterations in land use and land cover (LULC) in Delhi, concurrently assessing the coliform count in water sources designated for drinking and other purposes. LANDSAT 7 satellite imagery scrutinized the LULC changes in Delhi over a decade (2011 to 2021) to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 13–22 Read article