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845 articles for “I.R. sensor”
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Bridging Brain-Inspired Learning and Quantum Reasoning for Future AGI Systems
Abstract: This research paper presents a novel neuromorphic–quantum hybrid computing framework envisioned to advance intelligent systems toward artificial general intelligence. The architecture integrates brain-inspired spiking networks for adaptive, energy-efficient learning with quantum processors for non-classical optimization and reasoning. A shared synaptic–quantum memory layer enables dual information representation, while neuromorphic adaptive controllers provide real-time stabilization of noisy quantum circuits. While quantum processors offer features like superposition- enabled exploration and entanglement-based correlations that …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Exploring Carbon Nanotubes in Nanotechnology: Functional Properties, Surface Modifications, and Biomedical Innovations
Abstract: Significant progress has been made in nanotechnology in recent years, especially in the creation of sensors with a broad range of uses. Among these, carbon nanotubes (CNTs) are cylindrical structures composed of carbon, with diameters in the nanometer range. CNTs originate from graphite sheets, where the graphite layers resemble a rolled-up, continuous, and robust hexagonal mesh. These hexagons have carbon atoms at their vertices. The fabrication of CNTs typically involves …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 24–31 Read article
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Greenhouse Monitoring Robot
Abstract: In the realm of agriculture, where sustainable food production is paramount, the Greenhouse Monitoring Robot emerges as a game-changing project. Greenhouse farming, with its year-round cultivation and resource efficiency, relies on precise environmental control, notably temperature and humidity. This paper focuses on the successful implementation of an autonomous Line-Following Robot equipped with sensors like the DHT11 to ensure an ideal greenhouse environment. This innovative solution has enabled the accurate recording …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 1, 2023 · pp. 11–16 Read article
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An IoT-Based Integrated Vehicle Safety System for Accident Detection and Driver Monitoring
Abstract: Driver fatigue, alcohol and slow response of emergency services are among a significant issue of road accidents. The paper will provide a real-life example of an IoT-based vehicle safety system, which will combine the accident detection, driver drowsiness and alcohol sensors with a cohesive system. The proposed system consists of use of accelerometer for sudden collision detection, infrared eye blink sensor for determining alertness of the driver and MQ-3 alcohol …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Smart HVAC Systems: The Role of IoT and AI in Energy Optimization
Abstract: Heating, ventilation, and air conditioning (HVAC) systems are crucial for maintaining interior comfort and air quality in all types of buildings. However, they also rank among the highest energy users in the built environment. Traditional HVAC systems are evolving into intelligent, networked systems through the integration of Internet of Things (IoT) and artificial intelligence (AI) technologies, as energy efficiency and sustainability become increasingly important across the globe. This review article …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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I.V Backflow Prevention Device-Medical Assistance System
Abstract: Our paper aims to revolutionize the way intravenous (IV) blood flow is monitored and managed during infusion therapy. Our solution is a wireless IV drip detection device which is equipped with an intensity sensor on the IV infusion sleeve. This innovative device is designed to monitor the presence of the dripping, reduces the risk of complications of back flow of blood, and provide real-time monitoring of patients receiving IV therapy. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 374–380 Read article
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Electronic Drones: Technology, Applications, and Future Directions
Abstract: Electronic drones, commonly referred to as Unmanned Aerial Vehicles (UAVs), have transitioned from exclusively military platforms to indispensable tools across commercial, scientific, industrial, and recreational domains. The rapid evolution of electronics, flight control systems, communication networks, onboard sensors, and artificial intelligence has reshaped drone capabilities, enabling high-precision remote sensing, autonomous navigation, swarm behavior, and integration into complex systems like the Internet of Drones (IoD). This paper examines the technological building …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 15–19 Read article
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Design of an ArUco Marker-Guided Smart Trolley with Integrated Billing Estimation
Abstract: The growing adoption of automation in retail environments has increased the need for intelligent systems that improve user convenience and reduce manual effort. This paper presents the design and development of a human-following smart shopping trolley with an integrated automatic billing system based on computer vision. The proposed system employs ArUco marker–based human tracking to achieve reliable and real-time following behaviour. A Raspberry Pi serves as the central processing unit, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 Read article
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Deciphering the Pathophysiology of Migraine: Understanding Trigeminovascular System Activity and the Importance of the Gut-Brain Axis
Abstract: Migraine, a prevalent and disabling neurological condition, manifests in distinct phases: premonitory, aura, headache, postdrome, and interictal. Being a primary contributor to adult disability, it presents a substantial economic challenge on a global scale. Even with extensive research spanning centuries, the complete grasp of its root causes continues to evade us. This intricate neurovascular disorder primarily involves local vasodilation of intracranial and extracerebral blood vessels, coupled with simultaneous stimulation of …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 50–61 Read article
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A Next-Generation IoT-Enabled Smart Cane for the Visually Impaired: Integration of Advanced Navigation, Context-Aware Obstacle Detection, and Real-Time Voice Guidance
Abstract: The rapid growth of Internet of Things (IoT) technologies, combined with advances in embedded systems and artificial intelligence, has opened new possibilities for developing assistive mobility solutions tailored to the needs of individuals with visual impairments. This paper introduces an IoT- enabled smart cane designed to enhance independent mobility through intelligent environmental interpretation and context-aware navigation. Unlike traditional canes that rely solely on tactile feedback, the proposed system incorporates multiple …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 12–17 Read article
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Comprehending and Managing Restless Leg Syndrome
Abstract: An need to move that arises during rest or is made worse by rest, that happens in the evening or at night, and that goes away or gets better with movement is the hallmark of restless legs syndrome (RLS), a frequent sensorimotor disease. The degree, frequency, and age of start of symptoms vary greatly; severe types can impair mood, quality of life, and sleep. Periodic leg movements are common in …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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A Comparative Study of Atibalāmūla Kvātha and Bhūmyāmalakī Cūrṇa in the Management of Diabetic Sensory Polyneuropathy
Abstract: Bhūmyāmalakī and atibalāmūla is being used in certain hospital since long time with satisfactory results in the patients of diabetic sensory polyneuropathy. An observational study on the use of these plants in diabetic polyneuropathy is published in a peer reviewed journal. Therefore it was selected to evaluate the individual effect of bhūmyāmalakī and atibalāmūla in comparison with the combination of both the drugs in the patients of diabetic sensory polyneuropathy.
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 8, Issue 3, 2023 · pp. 1–11 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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A Review of IoT-enabled Smart Street Light Power Management Systems: Challenges and Opportunities
Abstract: In the contemporary world, people expect all their demands to be satisfied. To address this human desire, scientific and technological developments are accelerating. One important factor in the quick development of technology is the Internet of Things (IoT). The goal of smart led street lighting systems is to create and implement cutting-edge IOT developments for energy-saving street lighting. Automation of street lighting is the best way to reduce electrical power …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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Sensor and IoT centered Smart Agriculture by NodeMCU
Abstract: A style of farming that makes use of technology and data to maximize the throughput and efficiency of farming techniques is stated to as smart agriculture. This method of farming is also often referred to as precision farming or digital farming. The fact that this invention in the agricultural sector has the impending to radically transmute how users cultivate and produce food makes it an extremely hopeful and exciting development. …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 24–32 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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Aquaculture and Computers—Innovations and Applications
Abstract: Aquaculture, the cultivation of aquatic organisms for commercial purposes, has grown significantly over the past few decades due to the increasing global demand for seafood. The integration of computer technologies into aquaculture has revolutionized the industry, enabling more efficient management of resources, improved production processes, and enhanced sustainability. Computers and digital systems facilitate real-time monitoring of water quality, fish health, and feeding systems, while data analytics and artificial intelligence (AI) …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 70–85 Read article
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Development of Neuromorphic Polymer Composites Using IoT Sensing and Brain-Inspired Learning Algorithms
Abstract: This research aims to develop neuromorphic polymer composites by combining conductive sensing materials, IoT-based sensing data collection and brain-inspired learning models for adaptive response. Hybrid conductive polymer composites were developed by adding carbon nanofibers and graphene Nano platelets to a thermoplastic polymer. IoT sensors (strain, temperature) were employed to collect real-time sensing data that was combined with environmental data. A material-aware neuromorphic learning algorithm was created with event-driven spike coding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 755–784 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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Automated Entry Door Powered by Waste to Electricity Generation
Abstract: Waste-to-energy technologies are currently under scrutiny due to the rising demand for sustainable energy solutions. This paper discusses the design and implementation of an automated entry door system powered by waste-to- electricity technology. The system integrates renewable energy generation from organic and inorganic waste with an efficient automated door mechanism, providing a sustainable and eco- friendly solution for energy utilization in modern infrastructure. The waste-to-electricity module converts biodegradable waste into …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 9–14 Read article