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862 articles for “Data Monitoring”
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Ensuring and Monitoring the Needs and Facilities for Preschool Children’s Development
Abstract: When all of a city's residents' requirements are met, it might be considered desirable. As a segment of the population, children ought to be given as much consideration as feasible while designing metropolitan areas. The current study sought to understand the relationship between addressing preschoolers' basic requirements and providing the facilities they require, as well as keeping track of how well those needs are being met at each developmental stage. …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 23–30 Read article
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API Development for Cloud Parameter Curation
Abstract: API development for cloud parameter curation is pivotal in managing and optimizing various parameters within cloud environments. This project aims to develop a set of APIs that facilitate the efficient configuration, monitoring, and management of cloud parameters such as network settings, security policies, and resource allocation. Leveraging PHP for development and GoDaddy servers for hosting, the APIs provide a scalable and accessible solution for controlling cloud parameters remotely. Security measures, …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Birdwatcher’s Assistant: AI- Based Bird Species Classification
Abstract: Many bird species have gone extinct because of human activities and changes in the climate. The loss of habitats is a significant danger to global biodiversity. Therefore, it is important to monitor species distribution and identify the components of biodiversity in an area to develop conservation strategies. The ultimate objective is to build a machine learning model that can accurately differentiate between various bird species based solely on visual cues. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 17–27 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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Lung Function Decline Among Brick Kiln Workers in Haryana Due to Chronic Particulate Matter Exposure
Abstract: In Haryana, India, brick kiln workers are subjected to high levels of Particulate Matter (PM) which has been shown to deteriorate respiratory health. This study looks into the effect sustained exposure to particulate pollution has on lung function among workers in the brick kilns. The objective of the study was to assess the impact of chronic exposure to particulate matter on lung function among brick kiln workers in Haryana. A …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 11–16 Read article
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Cybersecurity in Web Automation: A Machine Learning Approach to Lightweight Intrusion Detection
Abstract: Launch-Attack is a lightweight and practical threat-detection framework designed specifically for smaller web-automation environments, including setups that rely on tools such as Selenium. Rather than aiming to replace large enterprise-grade security platforms, the framework focuses on offering an accessible option for developers, testers, and researchers who need real-time monitoring without the heavy resource demands of traditional systems. The model relies on machine-learning techniques implemented through Scikit-learn, enabling it to detect …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 34–40 Read article
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Unmanned Aerial Vehicle Using AI-ML
Abstract: Remotely piloted aircraft systems (RPAS), commonly known as drones, have evolved significantly in recent years, revolutionizing various industries and domains. This article provides an overview of the key aspects of RPAS technology, their applications, and the impact they have had on society. RPAS are autonomous or semi-autonomous aerial vehicles that can be controlled remotely, offering diverse capabilities, from data collection and surveillance to cargo delivery and recreational activities. This abstract …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 11–19 Read article
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Utilizing Drones for Tracking Wild Life Conservation: Tracking Census and its Anti Poaching Efforts
Abstract: Remote-controlled conservation drones can gather data from hard-to-reach locations with the least amount of disruption. Drones are being employed more and more in various research fields, but there is still much to learn about how they might be applied to wildlife study. Remote-controlled conservation drones can gather data from hard-to-reach locations with the least amount of disruption. Drones are being employed more and more in various research fields, but there …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 36–43 Read article
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A Review: Electrical Impedance Tomography System and Its Application
Abstract: Nowadays, the objective of medical research is to improve the diagnostic tools and instruments such as to develop new assessment methods, non-invasive and long-term monitoring method. Currently, the non-invasive technique is used for during pregnancy and labor due to its standard clinical approach. Such as ultrasound and MCG, CTG is also used during pregnancy because of its sensitivity to the mother and fetal movement but it is not used during …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 2, 2016 · pp. 14–22 Read article
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Intelligent Water Distribution Management using IoT
Abstract: Water plays a vital role in agriculture, making its efficient management essential for sustainable crop production. However, undetected leaks in irrigation systems can result in significant water loss, irregular watering of fields, soil degradation, and reduced crop yield. Conventional methods like manual inspection are not only labor-intensive but also ineffective in identifying leaks promptly – emphasizing the need for a smarter and automated approach to water monitoring. To address this …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 18–27 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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A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy
Abstract: Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots. This study explores the design, implementation, and potential of insect-inspired robots, focusing on the synergistic integration of miniaturized sensor arrays and advanced Artificial Intelligence (AI) algorithms. We delve into bio-mimetic sensing, drawing inspiration from compound eyes, olfactory systems, and tactile hairs, to equip robots …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 7–21 Read article
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Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 Read article
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Automatic Irrigation System Utilizing Internet of Things
Abstract: In this paper, we show how the Internet of Things (IoT) may be effectively used in conventional agriculture. The number and quality of agricultural goods are both increased by this new approach. This study utilized the Internet of Things (IoT) with the help of a few sensors, including a soil moisture sensor to determine the amount of moisture in the soil, a temperature and humidity sensor to monitor changes in …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 3, 2022 · pp. 9–15 Read article
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Accurate & Efficient Plant Disease Detection using Transfer Learning with Edge Impulse
Abstract: Transfer learning is a powerful machine learning technique that allows optimization of pre-trained models for related tasks on small datasets. In this research paper, we explore the application of Edge Impulse & transfer learning for plant diseases and aim to detect on edge devices more effectively at low cost. We collected and preprocessed many plant images and used this data to fine-tune a neural network model pre-trained by Edge Impulse. …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 30–41 Read article
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A Secure and Transparent Voting System Leveraging Ubiquitous Computing and Blockchain Technology
Abstract: Ubiquitous computing and blockchain technology are two pivotal innovations driving significant changes in the digital world. This article explores the intersection of these technologies, analyzing how their combination can unlock new opportunities and address existing challenges. Ubiquitous computing envisions seamlessly integrating computing capabilities into everyday objects and environments, aiming to enhance user experience and efficiency. Meanwhile, blockchain technology, known for its decentralized and secure nature, offers robust solutions for transparency, …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 2, 2024 · pp. 9–13 Read article
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Revolutionizing Agriculture with Advanced Computer Vision Technologies
Abstract: The integration of computer vision technology in smart agriculture has marked a significant advancement in the way farming operations are conducted, leading to enhanced productivity and efficiency. This paper explores the multifaceted applications of computer vision, which include crop monitoring, disease detection, automatic harvesting, and quality inspection. By utilizing high-resolution imaging and advanced algorithms, farmers can achieve real-time insights into crop health and growth stages, enabling them to make informed …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 24–30 Read article
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Sentinels of Safety: A Robotic Revolution in Autonomous Landmine Detection for Humanitarian Resilience
Abstract: Landmine Detection Robotic Vehicle Project is to create an autonomous robotic system that can identify landmines in dangerous locations. The rover navigates through a variety of terrains by using modern sensor technology, such as metal detectors and infrared photography, to detect buried landmines. The rover can distinguish between potentially dangerous items and harmless ones. The principal aim of the project is to optimise the efficacy and security of landmine removal …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 28–34 Read article
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Leveraging Artificial Intelligence for Precision Agriculture: Opportunities and Challenges
Abstract: AI in the agriculture sector is slowly changing the face of farming and the way it is practiced through enhanced precision, efficiency and sustainability. This study explores the role of AI in precision agriculture, focusing on its potential to revolutionize crop management, soil health monitoring, pest and disease control, and resource optimization. We examine the various AI technologies, including machine learning, computer vision, and robotics, that are being leveraged to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 1, 2025 · pp. 28–40 Read article
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Random Forrest Based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
Abstract: Advanced metering infrastructure (AMI) plays a central role in the operation of modern smart grid (SG) systems by enabling continuous, two-way communication between utility providers and consumers. Through this communication, AMI supports real-time monitoring, dynamic pricing, and efficient energy management. However, the same connectivity that makes AMI effective also increases its exposure to cyber threats. One of the most critical threats is the man-in-the-middle (MITM) attack, in which an attacker …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 1–8 Read article