BeeBest mobile application is an artificial intelligence-based application developed as a self-assessment to improve individual performance in their daily lives. This application consists of two domains, namely entrep...
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To address the issue of slow speed for AGV during global planning tasks, we propose the FI-RRT∗ algorithm based on the Informed-RRT∗ algorithm. In the sampling phase of the algorithm, we adjust the distribution probab...
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The convergence of vehicular networks and the Meta-verse, referred to as the Vehicular Edge Metaverse is set to revolutionize both transportation and in-car experiences. This paradigm shift envisions vehicles not only...
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An increase in surface-level ozone concentration is a spiking issue in today's world. Surface ozone is a secondary polluting agent that forms a mix of primary pollutants, meteorological variables, and volatile org...
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In an era where connectivity is ubiquitous and data flows ceaselessly, Edge IoT (Internet of Things) systems have emerged as a pivotal technological paradigm poised to revolutionize the way we interact with the digita...
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ISBN:
(纸本)9783031815720;9783031815737
In an era where connectivity is ubiquitous and data flows ceaselessly, Edge IoT (Internet of Things) systems have emerged as a pivotal technological paradigm poised to revolutionize the way we interact with the digital world. As the proliferation of IoT devices continues unabated, the traditional cloud-centric model for data processing and decision-making faces significant challenges. Edge IoT systems, by shifting computational intelligence closer to the data source, offer a compelling solution to these challenges, promising greater efficiency, lower latency, and enhanced real-time decision-making capabilities. On the other hand, the convergence of edge computing, artificial intelligence (AI), and the Internet of Things (IoT) has ushered in a new era of intelligent systems with transformative potential across various domains. This includes the development of edge computing infrastructure, AI models optimized for edge deployment, and IoT device architectures that support real-time data processing and analysis. This paper proposes a comprehensive review on Edge computing, AI, and IoT integration for intelligent systems. We focus on the concept of Edge-AI and its potential applications in real-time processing for Internet of Things. The paper introduces Edge-IA technology, explores commonly used networking and messaging protocols in IoT, and discusses the opportunities and challenges of Edge-IA and IoT in various industries, including agriculture and healthcare.
Online multiplayer games have become increasingly popular in the modern world, attracting a worldwide audience and creating virtual communities that cut across national borders. This research offers strategies for imp...
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With the continuous development of information technology, big data technology has become an important tool in various industries. In the context of big data, the informatization construction of teaching management in...
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This study examines the automatic recognition of human emotions in real-time through facial expressions from webcams. Real-time emotion recognition is a crucial element in human-computer interaction and emotional comp...
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In recent years, machine learning related techniques are widely used in edge computing scenarios. This has led to an increase in privacy concern due to the huge amount of data in end devices. To resolve this issue, fe...
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Low earth orbit (LEO) satellites have low orbit altitude, strong landing signal power, and strong anti-interference ability, which is an attractive way to provide available navigation and positioning services for GNSS...
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