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483 articles for “Sensor Network”
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Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article
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IoT BASED SMART TEMPERATURE CONTROL SYSTEM
Abstract: Internet of Things (IoT) is a progressing technology with unimaginable growth, significance and ability. We present the role of Internet in the IoT network and some concepts of Internet of things, which technology is capable to read and sense real time temperature data with help of sensor through internet. We as well describe the concept of MQTT that connects electronics devices to the cloud and we can modify it or …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 2, 2021 · pp. 26–30 Read article
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An Intelligent Modelling system for Automotive Vehicles
Abstract: In this paper it’s about the development of artificial intelligence that has fuelled technological advancements. Self-driving automobiles are an example of an innovative development. Nowadays, you may work or sleep in your car while driving to your destination without touching the steering wheel or accelerator. This project aims to create a workable model of a self-driving car capable of traveling on multiple tracks, including curved, straight, and straight followed by …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 32–40 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Stretchable Elastomer–PCM Composites with Bluetooth-Enabled Temperature Monitoring for Wearable Healthcare IoT Devices
Abstract: The rapid advancement of wearable healthcare technologies has created a growing demand for multifunctional polymer composites capable of simultaneously providing mechanical flexibility, thermal energy management, electrical conductivity, sensing capability, and wireless communication. In this study, a stretchable elastomer-based polymer composite integrated with a phase-change material and a Bluetooth Low Energy temperature monitoring system was developed for wearable healthcare Internet-of-Things applications. The polymer composite was fabricated using an Ecoflex silicone elastomer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 241–257 Read article
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Novel Perspectives in Future of Wi-Fi: Trends, Applications and Research Challenges
Abstract: Wi-Fi has changed connectivity in America inside and out. Wi-Fi interfaces us to the internet so we can direct business, find loved ones, do schoolwork, get a clinical diagnosis, stream our number one shows, and substantially more. It's likewise a basic tool for factories, clinics, retail locations, and transportation centers the nation over. We are using the wireless transmissions that permit Wi-Fi to travel like never before previously. As our …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 2, 2022 · pp. 15–19 Read article
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AI-Driven IoT-Based Decision-Making System for Brainwave Study: The KSK Approach
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain–computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 28–35 Read article
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EcoSense AI: An Intelligent IoT-Based Environmental Monitoring and Forecasting System
Abstract: Environmental degradation caused by air, water, and soil pollution poses a severe global threat to human health and ecosystem stability. Existing IoT- based monitoring systems classify only current pollution levels but lack predictive capability, geospatial context, and tamper-proof data integrity. This paper presents EcoSense AI—a unified low-cost intelligent environmental monitoring system built on an ESP32 microcontroller with MQ135, DHT11, turbidity, and GPS sensors. The system integrates a Random Forest classifier …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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AI-Driven Lightning Strike Prediction Using Polymer-Integrated Sensor Platforms for Climate-Resilient Energy Systems in India
Abstract: Lightning strikes are a major climate-related threat to India, resulting in severe human injuries as well as regular damages to the power transmission network and renewable energy infrastructure. This research aims to introduce the concept of an AI-based lightning strike prediction and mitigation system with the integration of polymers for making climate-resilient energy infrastructure. Multidata are collected based on satellite images, climate variables, as well as surface-based sensing modules, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 234–242 Read article
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Distributed Control System Using Wired Communication Channel
Abstract: AbstractThis paper addresses the important aspects of RS-485 as a wired system for successful data transmission design. Wired distributed control system offers flexibility in the design and implementation at low cost and such can be applied in many useful situations. While designing distributed control system, the difficulties arises both in basic safety correctness properties as well as in achieving high performance. Hence the main objective of this research is to …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 28–33 Read article
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A Review on Routing in Delay Tolerant Network
Abstract: DTN (Delay-Tolerant Networking) is a technique in PC system development that looks into the location, specialized matters in heterogeneous systems that may need consistent system integration. Delay-tolerant networking is possible only on the systems with colossal amounts of nearby stockpiling and internodes data transmission with respect to the expected activity. Use of DTN incorporates vehicular systems and sensor organizes in rural and rustic territories. This paper incorporates the diverse conventions, …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 3, 2015 · pp. 16–22 Read article
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IoT-based Patient Fall Detection and Alerting System for Patient Safety
Abstract: This paper presents an Internet of Things (IoT) based patient fall detection and alerting system designed to enhance patient safety in healthcare settings. Falls among patients, especially in hospitals or care facilities, can lead to severe injuries and complications. The proposed system utilizes wearable sensors integrated with IoT technology to continuously monitor the movements and activities of patients. Machine learning algorithms are employed to analyze sensor data in real time, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 9–14 Read article
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Modernization Of Internet Of Things
Abstract: Internet of Things (IoT) is a progressing technology with unimaginable growth, significance and ability. We present the role of Internet in the IoT network and some concepts of Internet of things, which technology is capable to read and sense real time temperature data with help of sensor through internet. that connects electronics devices to the cloud and the modification will be done in many ways it or read at any …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 36–41 Read article
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An Intelligent IoT-Based Approach for Smart Grid Monitoring and Fault Detection
Abstract: The modernization of power systems has led to the development of smart grids, integrating advanced communication and control technologies. This study presents an Internet of Things (IoT)- based smart grid monitoring and fault detection system. The proposed system includes sensors, microcontrollers, and cloud platforms that will be used to monitor the parameters of the grid, including voltage, current and frequency. Fault detection is achieved through threshold based and data analytics …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Digital Twin and Machine Learning Framework for Predictive Maintenance of Nuclear Power Systems
Abstract: Nuclear power systems contain safety-critical components whose degradation can affect availability, reliability, and maintenance planning. Conventional maintenance strategies are largely based on scheduled inspection, threshold monitoring, and condition-based assessment, which may not fully exploit the large volume of continuously generated plant data. Digital Twin (DT) technology provides a mechanism for maintaining a synchronized virtual representation of a physical nuclear system, while machine learning (ML) can extract degradation patterns from multivariate …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Use of PIC 18 Microcontroller in Electronic Locking System
Abstract: Very often a lot of vehicles carry the illegal or very valuable goods and they do not have owner’s permission to unload them. In such situations, it is proposed to monitor vehicle transit via GPS tracking system. To guarantee appropriate and well-timed reaction to the interfering vehicle introductions, containers are well-appointed with the mobile GPS device and GSM modem. Furthermore door opening sensor is fixed secretly in the container. GPS …
Published in Journal of Microcontroller Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 24–31 Read article
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Fire Alarm and Monitoring System Using IoT
Abstract: AbstractThis paper outlines the design with Arduino based device by means of IoT of a home fire alarm. The project is intended for the protection of the home and business, where the main aim is to prevent fire incidents that have happened to people, businesses and property inside the city. It utilizes board Arduino Uno with chip ATmega328. The key controller used is definitely the ATmega328 which controls the fire …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 1, 2020 · pp. 10–20 Read article
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An AI-Driven IoT Framework for Autonomous Quality Assurance in Optical Lens Manufacturing
Abstract: The evolution of high-precision optics—ranging from smartphone micro-lenses to high-end astronomical glass—demands unprecedented accuracy in manufacturing. Traditional inspection methods, reliant on manual sampling or static automated optical inspection (AOI), often fail to bridge the gap between high-speed production and the detection of microscopic surface aberrations. This paper introduces an integrated architecture combining the Internet of Things (IoT) and Deep Learning-based decision-making systems to revolutionize lens quality control. By deploying an …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 36–41 Read article
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Classification and Pesticide Detection in Fruits
Abstract: Pesticides being present in fruits is an increasing concern for people all over the world. By working with the customer, this work aims to resolve the issue. The consumer should learn if the chosen fruits are suitable for consumption. The primary goal of this research is to use a sensor to calculate the normalized differential vegetation index in order to detect the levels of pesticides in fruit. The work is …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 1–5 Read article
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Artificial Intelligence Techniques for Smart Polymer Nanocomposite Materials and Industrial Applications
Abstract: Protecting sensitive material data, manufacturing processes, and intelligent monitoring platforms is essential for the fast development of innovative polymer nanocomposite systems in fields such as aerospace, medicine, electronics, automobiles, and energy. In order to safeguard, consistently enhance, and optimize distributed industrial systems that consist of polymer nanocomposite materials, this study presents an AI-driven cybersecurity and cloud computing architecture. The suggested solution employs artificial intelligence (AI), machine learning (ML), cloud computing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1109–1134 Read article