Designing motion controllers for autonomous racecars allows researchers to study the safety and computational efficiency of their algorithms under extreme conditions, while also serving as a benchmark for conventional...
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The proceedings contain 33 papers. The special focus in this conference is on Internet Computing and IoT. The topics include: Malware Detection in the IoT Home Network;IoT-Based Analysis of Environmental and Motion Da...
ISBN:
(纸本)9783031859229
The proceedings contain 33 papers. The special focus in this conference is on Internet Computing and IoT. The topics include: Malware Detection in the IoT Home Network;IoT-Based Analysis of Environmental and Motion Data for Comfort and Energy Conservation in Optimizing HVAC Systems;improving Critical Controls Using IoT and computer Vision;A Data-Driven Driving Under the Influence (DUI) Detection, Notification and Prevention System Using Artificial Intelligence and Internet-Of-Things (IoT);understanding User Interactions with IoT Process Models: A Demographic Perspective;Advancing IoT Process Modeling: A Comparative Evaluation of BPMNE4IoT and Traditional BPMN on User-Friendliness, Effectiveness, and Workload;Threat Detection Using MLP for IoT Network;harnessing Social Robotics and the Internet of Things to Reduce the Risk of Older Adults Developing Hypothermia and Dehydration;re/Imagining Smart Home automation Framework in the Era of 6G-Enabled Smart Cities;smart Roadway Monitoring: Pothole Detection and Mapping via Google Street View;Energy-Efficiency Modeling for AI Applications on Edge Computing;optimizing Wireless Sensor Network Node Placement Using Bacterial Foraging Optimization;The Vital Role of Small and Marginal Farmer in Future of Our Climate: Democratization of Machine Learning, Artificial Intelligence, and Dairy Cow Necklace Sensors in Achieving the UN Climate Change Goals (COP21) and the Paris Agreement;autonomous Driving Prototype with Raspberry Pi by Using Image Processing Technology;towards Implementation of Privacy-Preserving Federated Learning Aggregation Using Multi-key Homomorphic Encryption;advancing Nursing Education Through Virtual Reality Training: A Revolutionary Approach to Ensuring Patient Safety;multiDrone Simulator An Open Source Multi-plataform Tool to Use in Tests of Optimized Flight of Group of Drones;Revolutionizing Multiplayer Gaming: A Deep Dive into VisionXO, a 3D Multiplayer Tic-Tac-Toe Game.
Among various automation approaches, the pick and-place robotic arm stands out due to its versatility and potential for wide application in sorting, picking, and placing tasks. The robotic arm is equipped with advance...
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Image segmentation is a crucial task in computer vision that involves dividing an image into distinct regions, with each region containing pixels that share similar attributes. Traditional methods like Otsu, Sobel, an...
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Server less architecture has become increasingly used in cloud computers since it is highly scalable and affordable and allows for the rapid deployment of services. However, no one has abused server less architecture ...
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Medical robots are a groundbreaking advancement in healthcare, utilizing robotics and automation to improve precision, efficiency, and accessibility in medical procedures. They are utilized in various applications, in...
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This project aims to develop an advanced Automatic Braking System (ABS), called 'BrakeSmart', which leverages ultrasonic sensor technology to enhance road safety and prevent collisions. The system automaticall...
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Unprecedented improvements in connectivity, speed, and latency are anticipated with the emergence of 6G wireless technology, opening the door for game-changing applications like AI-driven automation, smart cities, and...
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Intelligent recognition of insulator infrared image defects based on UAV inspection has important research value in transmission line inspection. This paper proposes a lightweight deep neural network that combines ima...
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In this paper, a small-target UAV intrusion detection algorithm based on improved YOLOv8 in hazy environment is investigated. Aiming at the problem that the traditional YOLOv8 algorithm cannot extract the UAV features...
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