Recent Trends in AI-Based Intelligent Sensing

编号 030036701

推送时间 20221031

研究领域 森林经理 

年份 2022 

类型 期刊 

语种 英语

标题 Recent Trends in AI-Based Intelligent Sensing

来源期刊 ELECTRONICS

期 第367期

发表时间 20220610

关键词 artificial intelligence;  machine learning;  intelligent sensing;  datasets;  neural networks;  IoT;  learning algorithms; 

摘要 In recent years, intelligent sensing has gained significant attention because of its autonomous decision-making ability to solve complex problems. Today, smart sensors complement and enhance the capabilities of human beings and have been widely embraced in numerous application areas. Artificial intelligence (AI) has made astounding growth in domains of natural language processing, machine learning (ML), and computer vision. The methods based on AI enable a computer to learn and monitor activities by sensing the source of information in a real-time environment. The combination of these two technologies provides a promising solution in intelligent sensing. This survey provides a comprehensive summary of recent research on AI-based algorithms for intelligent sensing. This work also presents a comparative analysis of algorithms, models, influential parameters, available datasets, applications and projects in the area of intelligent sensing. Furthermore, we present a taxonomy of AI models along with the cutting edge approaches. Finally, we highlight challenges and open issues, followed by the future research directions pertaining to this exciting and fast-moving field.

服务人员 付贺龙

服务院士 唐守正

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