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469 articles for “network sensors”
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Artificial Intelligence for Tracking Cognitive Deviation in Aging Populations: A Comprehensive Review of Techniques, Challenges, and Ethical Concerns
Abstract: Population aging is accelerating worldwide, and with it the burden of cognitive health conditions such as mild cognitive impairment (MCI), Alzheimer’s disease (AD), and dementia. Detecting and monitoring cognitive change early is central to timely intervention, yet conventional diagnostic tools often miss the subtle signals that appear before overt symptoms. Artificial intelligence (AI) has emerged as a promising complement to clinical assessment because it can work through high-dimensional data and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 27–37 Read article
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Water Quality Analysis using Arduino
Abstract: There is a dire need of effective water quality control system in the residential areas and the demand is very high due to urbanization, wide scale pollution and population growth. Scarcity of safe drinking water poses a great challenge to development. Necessary and immediate steps have to be taken to overcome it. At the very first, we have to assess water parameters like temperature pH, turbidity, conductivity etc., as the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 2, 2020 · pp. 21–27 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 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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An Efficient LoRa-Enabled Fault Detection Using Self-Powered IoT Device
Abstract: This study describes a revolutionary internet of things (IoT) solution for effective defect detection in a variety of applications. By utilizing an IoT device that generates energy from the surroundings, the suggested solution gets around the drawbacks of conventional battery-operated gadgets. The suggested approach makes use of a self-sustaining IoT gadget that can capture energy from the surroundings to get beyond the drawbacks of conventional battery-powered IoT devices. Longer functioning …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–13 Read article
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Autonomous Vehicle for Collison Avoidance using V2V
Abstract: AbstractThe study proposes a shrewd and intelligent collision avoidance framework as a model, which stays away from vehicle mishaps and impacts to give most noteworthy security to the client in antagonistic or awful climate condition. Here, Ultrasonic sensors are placed in the auto, where these sensors are utilized to measure the separation. The vehicle state data are acquired utilizing Ultrasonic sensor, which will ceaselessly track for any snag from front …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 2, 2018 · pp. 15–24 Read article
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A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article
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Automobile Driving License Verification using Biometrics
Abstract: Fingerprint authentication or recognition refers to the automated method of verifying a match between two human fingerprints. Fingerprints are one of the many concepts of biometrics used to recognize persons and confirm their uniqueness. The investigation of fingerprints for identical determinations usually needs the evaluation of numerous features of the print pattern. In this project, we use the Fingerprint verification system which is a non-imitable biometric confirmation structure.Keywords: Aurdino; LICENSE …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 2, 2019 · pp. 6–9 Read article
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Nanotechnology in Internet of Things: A Powerful Partnership Shaping the Future
Abstract: IOT holds potential to improve lives and revolutionize industries. However, its widespread adoption depends on addressing the growing energy consumption concerns. Nanotechnology provides a pathway to create a more energy-efficient IoT ecosystem by enabling the development of self-powered devices, low-power electronics, high-performance batteries, and advanced sensors. IoT is changing our daily lives and work by linking countless devices and producing vast amounts of data.. However, this explosive growth comes with …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Role of Hybrid Controller Based FACTS Devices in Relieving Power Crisis
Abstract: The power crisis is a global concern for research and development engineers. These issues may be summarized manifold. These issues may be sudden outage/ failure of power system network, considerable power loss on the line, the voltage flickers, lack of proper equipment’s to monitor and protection, presence of significant harmonic level in the line that affects the performance of the equipment connected to line. Some of these issues may persist …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 1, 2022 · pp. 1–10 Read article
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Process Variable Optimization and Experimental Review of Aero-engine Blade using ECM
Abstract: AbstractProcess of blade in (EMC) can be effected by numerous factors, e.g., shape of blade, electrolytic liquid field and anodic dissolution, ECM parameters may result in affections on blade accuracy. Some aero-engine blade as research object, five main process parameters, voltage, machining gap, feed rate, temperature of working fluid and pressure variation of electrolyte inlet/outlet, are evaluated and optimized as per BP neural network Method. From 3125 possible operating parameter …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 3, 2018 · pp. 27–32 Read article
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Design And Implementation Of Energy Meter Intrusion Detection And Power Management System
Abstract: Electricity meter bypass is becoming more frequent and pervasive leading to Loss of Revenue (LOR) in electricity sector. Technology has advanced to the point where a gadget that calculates and measures changes in the environment can now detect motion. A network SIM card connected to a GSM module controlled by an ATmega8 microprocessor, is used in the design and construction of this project. In this framework, an LDR sensor is …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 2, 2022 · pp. 28–42 Read article
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ICU Health Monitoring System in IoT with Machine Learning
Abstract: The Internet of Things (IoT) allows humans to push to a higher level of automation by developing systems using various sensors, interconnected smart devices, and the Internet. In ICU, patient checking is basic and most vital activity as little deferral in choice related to patients’ treatment may cause lasting permanent disability or maybe death. Most ICU devices are equipped with various sensors to live health parameters but to watch it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 25–34 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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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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Efficient Message Captivating Environment in IoT Home Networks
Abstract: The Internet of Things (IoT) concept involves connecting and monitoring physical objects via the internet, generating significant interest among researchers and users due to widespread internet availability. This concept encompasses a broad spectrum of devices, including internet-connected "smart" versions of traditional appliances, novel gadgets designed for an Internet-enabled environment, and Internet-enabled sensors transforming various sectors such as manufacturing, healthcare, transportation, and living spaces. Home automation, an IoT application, has significantly …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 8–16 Read article
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Automated Vehicle Accident Reporting and Air Pollution Detection with Advance Tracking System
Abstract: AbstractThis project is designed to inform about an accident that is occurred to a vehicle to the family members of the traveling persons. This uses a vibration sensor which can detect the abrupt vibration when an accident is occurred. A buzzer alert system will also be given. This sends a signal to microcontroller. This Project is designed with an automatic vehicle accident alert system using GPS and GSM modems. The …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 2, 2020 · pp. 7–18 Read article
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Exploring GeoAlert: An IoT Approach to Weather Station Networks
Abstract: The innovative project "Geo-Alert: IoT Based Weather Station" uses Internet of Things, or IoT, technologies to monitor and respond to environmental circumstances, such as flood hazards, weather variations, and seismic events. This system sends real-time data to the Blynk IoT cloud, enabling seamless remote monitoring and analysis. It does this by utilising a combination of specialised sensors, such as vibration sensors for earthquake detection, DHT11 and MQ series sensors for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 27–36 Read article
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Block Chain Based Supply Chain for Grading Milk Quality Using Machine Learning Techniques
Abstract: Milk is a primary source of nutrition in practically every country on the globe. Milk is widely packaged in a variety of containers such as packages, cans, glass bottles, and polyethylene terephthalate (PET) bottles. Milk, on the other hand, has a limited period for the customer to use it because it has an expiration date. Despite the clearance of the expiration date, it is possible that the milk could have …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 80–92 Read article
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Self-Learning SIEM System Using Association Rule Mining
Abstract: The rise of new security threats similar to polymorphic multi-step attacks, have made security something just more than perimeter defence, IDS/IPS, Firewalls, Anti-virus etc. Although, security techniques have evolved a lot, so have the attacks. Hence, a comprehensive solution is required wherein all the sensory controls can work in coherence. In this paper, we intend to propose a SIEM system with the self-learning capability which can produce optimized and efficient …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 10–23 Read article