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检索条件"任意字段=Intelligent Sensors, Sensor Networks and Information Processing Conference"
10633 条 记 录,以下是11-20 订阅
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Flexible Compression for Efficient information Sharing in a Network of Radio Frequency sensors
IEEE TRANSACTIONS ON RADAR SYSTEMS
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IEEE TRANSACTIONS ON RADAR SYSTEMS 2025年 3卷 332-348页
作者: Coutts, Fraser K. Thompson, John Mulgrew, Bernard Univ Edinburgh Inst Imaging Data & Commun IDCOM Edinburgh EH9 3BF Scotland
The efficient extraction of useful information from radio frequency (RF) sensors is one important application for artificial intelligence (AI) and machine learning (ML) approaches. In particular, there is a desire to ... 详细信息
来源: 评论
Reconfigurable intelligent Surface Aided Wireless sensor networks with Harvest-Then-Transmit Protocol
Reconfigurable Intelligent Surface Aided Wireless Sensor Net...
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2024 IEEE sensors conference
作者: Lee, Yinman Hsu, Li-Zhen Natl Chi Nan Univ Dept Elect Engn Puli Taiwan
In this paper, we investigate the use of reconfigurable intelligent surfaces (RIS) to enhance the multiple access and energy harvesting capabilities of wireless sensor networks (WSNs) with the harvest-then-transmit (H... 详细信息
来源: 评论
Design of intelligent Image Recognition Algorithms Based on Optical sensors and Generative Adversarial networks
Design of Intelligent Image Recognition Algorithms Based on ...
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2024 International conference on Power, Electrical Engineering, Electronics and Control, PEEEC 2024
作者: Ye, Cong Suzhou College of Information Technology Department of Big Data and Internet Jiangsu215200 China
This paper presents the design of an intelligent image recognition algorithm based on optical sensors and Generative Adversarial networks (GAN). In today's digital era, the growth of image data is increasing expon... 详细信息
来源: 评论
Optimized Design of EdgeBoard intelligent Vehicle Based on PP-YOLOE
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sensors 2024年 第10期24卷 3180页
作者: Yao, Chengzhang Liu, Xiangpeng Wang, Jilin Cheng, Yuhua Shanghai Normal Univ Coll Informat Mech & Elect Engn Shanghai 201418 Peoples R China Peking Univ Shanghai Res Inst Microelect Shanghai 201203 Peoples R China
Advances in deep learning and computer vision have overcome many challenges inherent in the field of autonomous intelligent vehicles. To improve the detection accuracy and efficiency of EdgeBoard intelligent vehicles,... 详细信息
来源: 评论
Favor the Tortoise Over the Hare: An Efficient Detection Algorithm for Cooperative networks
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IEEE TRANSACTIONS ON SIGNAL processing 2024年 72卷 3153-3170页
作者: Feitosa, Allan E. Nascimento, Vitor H. Lopes, Cassio G. Univ Sao Paulo Dept Elect & Syst BR-05508010 Sao Paulo Brazil
We develop a low-cost algorithm to decide the current state of an environment being monitored by a cooperative and fully distributed wireless network of intelligent sensors, with a low time to reach a given performanc... 详细信息
来源: 评论
Minimize Age of information for IRS-Aided sensor Systems: How Many IRS Elements Are Needed?
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IEEE sensors JOURNAL 2025年 第8期25卷 14099-14111页
作者: Zhang, Yangyi Guan, Xinrong Wu, Qingqing Zhang, Ruoyu Ma, Yue Miao, Chen Wu, Wen Cai, Yueming Army Engn Univ PLA Coll Commun Engn Nanjing 210007 Peoples R China Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Peoples R China
In this article, we investigate an intelligent reflecting surface (IRS)-assisted sensor system, where the average age of information (AoI) is derived to characterize the information freshness of short packets. Althoug... 详细信息
来源: 评论
Smart Farming Technologies: A Methodological Overview and Analysis
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IEEE ACCESS 2024年 12卷 164922-164941页
作者: Chicaiza, Kharol Paredes, Ricardo X. Sarzosa, Isaac Mateo Yoo, Sang Guun Zang, Naeun Escuela Politec Nacl Dept Informat & Ciencias Comp Quito 170525 Ecuador Escuela Politec Nacl Smart Lab Quito 170525 Ecuador Univ Fuerzas Armadas ESPE Dept Ciencias Comp Sangolqui 171103 Ecuador Sogang Univ Sogang Inst Convergence Educ Seoul 04107 South Korea
This paper presents a comprehensive examination of smart farming solutions through a systematic review of literature available in various digital repositories. Methodologically, we categorize the devices and technolog... 详细信息
来源: 评论
Performance Optimization of intelligent Perception System in Maritime Traffic Sensing and Management
Performance Optimization of Intelligent Perception System in...
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2025 International conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025
作者: Li, Daoke Navigation College Fujian Chuanzheng Communication College Fuzhou350007 China
The sea surface is often accompanied by a complex and fluctuating information environment. How to achieve the efficient and accurate water traffic management and perception is an important research branch of computer-... 详细信息
来源: 评论
AI-Integrated Traffic information System: A Synergistic Approach of Physics Informed Neural Network and GPT-4 for Traffic Estimation and Real-Time Assistance
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IEEE ACCESS 2024年 12卷 65869-65882页
作者: Gebre, Tewodros Syum Beni, Leila Tsehaye Wasehun, Eden Dorbu, Freda Elikem North Carolina A&T State Univ Coll Sci & Technol Appl Sci & Technol Program Greensboro NC 27411 USA North Carolina A&T State Univ Coll Sci & Technol Geomat Program Greensboro NC 27411 USA North Carolina A&T State Univ Dept Computat Data Sci & Engn Greensboro NC 27411 USA
Traffic management systems have primarily relied on live traffic sensors for real-time traffic guidance. However, this dependence often results in uneven service delivery due to the limited scope of sensor coverage or... 详细信息
来源: 评论
Helicopter Turboshaft Engines' Neural Network System for Monitoring sensor Failures
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sensors 2025年 第4期25卷 990-990页
作者: Vladov, Serhii Scislo, Lukasz Szczepanik-Scislo, Nina Sachenko, Anatoliy Perzynski, Tomasz Vasylenko, Viktor Vysotska, Victoria Kharkiv Natl Univ Internal Affairs 27 L Landau Ave UA-61080 Kharkiv Ukraine Cracow Univ Technol Fac Elect & Comp Engn 24 Warszawska St PL-31155 Krakow Poland Cracow Univ Technol Fac Environm Engn & Energy 24 Warszawska PL-31155 Krakow Poland European Org Nucl Res CERN 1 Esplanade Particules CH-1211 Geneva 23 Switzerland West Ukrainian Natl Univ Res Inst intelligent Comp Syst 11 Lvivska St UA-46009 Ternopol Ukraine Casimir Pulaski Radom Univ Fac Transport Elect Engn & Comp Sci PL-26600 Radom Poland Lviv Polytech Natl Univ Informat Syst & Networks Dept 12 Bandera St UA-79013 Lvov Ukraine Osnabruck Univ Inst Comp Sci 1 Friedrich Janssen St D-49076 Osnabruck Germany
An effective neural network system for monitoring sensors in helicopter turboshaft engines has been developed based on a hybrid architecture combining LSTM and GRU. This system enables sequential data processing while... 详细信息
来源: 评论