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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications VII"
4626 条 记 录,以下是1-10 订阅
排序:
Development of Machine Intelligence for Self-Driving Vehicles Through Video Capturing  20
Development of Machine Intelligence for Self-Driving Vehicle...
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20th IEEE/ASME International conference on Mechatronic and Embedded systems and applications (MESA)
作者: Lowe, Jordon Kuru, Kaya Univ Cent Lancashire Sch Engn & Comp Preston Lancs England
The automation of vehicles is progressing through several automation levels, with the goal of reaching full autonomy, i.e. level 5, which involves no steering wheel, brakes, pedals, or windshield. This is achieved by ... 详细信息
来源: 评论
MoDD : A Model-Driven Framework For Data Collection In Drone-Based systems  50
MoDD : A Model-Driven Framework For Data Collection In Drone...
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50th Euromicro conference on Software Engineering and advanced applications
作者: Habouche, Manele Ait Kerboeuf, Mickael Guillou, Goulven Babau, Jean-Philippe Univ Bretagne Occidentale Brest France
Nowadays, Cyber-Physical systems (CPS), particularly drones, play a pivotal role in environmental research. Scientists depend on these platforms to monitor various sensor data and ensure comprehensive data archiving. ... 详细信息
来源: 评论
Wireless sensor Nodes for Condition Based Maintenance in Railway systems
Wireless Sensor Nodes for Condition Based Maintenance in Rai...
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2024 IEEE sensors conference
作者: Kersten, Philipp Buzin, Johannes Hirsch, Soeren Brandenburg Univ Appl Sci Dept Engn Brandenburg Germany
Ensuring the reliability, safety, and efficiency of railway systems is increasingly critical in global transportation networks. This paper addresses the necessity for advanced monitoring systems by introducing a multi... 详细信息
来源: 评论
How can sensor data accessibility be enhanced in IoT-based health monitoring systems?  19
How can sensor data accessibility be enhanced in IoT-based h...
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IEEE 19th conference on Industrial Electronics and applications (ICIEA)
作者: Wang, Ting Pileno, Adrian Amatriain Monacelli, Eric Univ Gustave Eiffel CNRS ESIEE Paris LIGM Marne La Vallee France Univ Publ Navarra ETSIIIT Navarra Spain Univ Versailles St Quentin En Yvelines LISV Velizy Villacoublay France
This paper outlines the development of an economical Internet of Things (IoT)-based real-time health monitoring system. The prototype integrates a microcontroller and various sensors to monitor essential health parame... 详细信息
来源: 评论
Recycled silicon solar cell-derived nanostructured p-black silicon device for high performance NO2 gas sensor applications
RSC Applied Interfaces
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RSC Applied Interfaces 2024年 第1期2卷 220-229页
作者: Aleem, Mahaboobbatcha Vishnuraj, Ramakrishnan Pullithadathil, Biji Nanosensors & Clean Energy Laboratory Department of Chemistry & Nanoscience and Technology PSG Institute of Advanced Studies Coimbatore 641 India Advanced Self-Powered Systems of Integrated Sensors and Technology Center Department of Electrical and Computer Engineering North Carolina State University Raleigh 27695 NC United States Center of Excellence in Advanced Materials and Green Technologies Amrita School of Engineering Coimbatore Amrita Vishwa Vidyapeetham India Department of Chemical Engineering and Materials Science Amrita School of Engineering Coimbatore Amrita Vishwa Vidyapeetham India
Nitrogen dioxide (NO2) is a toxic gas that can cause respiratory problems, and sensing its presence is crucial for environmental monitoring and industrial safety. This investigation presents a novel approach towards s...
来源: 评论
Design and Optimization of High-Performance Health Monitoring systems Using advanced sensor Networks  2
Design and Optimization of High-Performance Health Monitorin...
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2nd International conference on advanced Computing and Communication Technologies, ICACCTech 2024
作者: Mehta, Heena Singla, Mukesh Baba Mastnath University Dept. of Computer Science and Engineering Haryana Rohtak India
This research elucidates the development and optimization of advanced sensor network-based health monitoring systems. In response to the increasing need for accurate health data in real-time, advanced gadgets capable ... 详细信息
来源: 评论
Enhancing Road Safety: Leveraging CNN-LSTM and Bi-LSTM Models for advanced Driver Behavior Detection  2
Enhancing Road Safety: Leveraging CNN-LSTM and Bi-LSTM Model...
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2nd International conference of Intelligent Methods, systems and applications, IMSA 2024
作者: Diaaeldin, Ahmed Zaher, Moamen Faculty of Computer Science Giza Egypt
Recognizing the importance of driver behavior is essential for enhancing road safety and optimizing traffic management systems. This study employs advanced deep learning techniques, specifically CNN-LSTM and Bi-LSTM m... 详细信息
来源: 评论
Leveraging Memory and Attention in a Kinematically Aware Robot: An Ideomotor-Inspired Approach to Implicit Command Understanding from IMU sensor Data
Leveraging Memory and Attention in a Kinematically Aware Rob...
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IEEE/ASME International conference on advanced Intelligent Mechatronics (AIM)
作者: Guinot, Lena Matsumoto, Ryutaro Shota, Takahashi Iwata, Hiroyasu Waseda Univ Grad Sch Creat Sci & Engn Tokyo Japan Waseda Univ Fac Sci & Engn Tokyo Japan
As human-robot interaction (HRI) advances, the nuanced interpretation of implicit commands embedded in human gestures becomes paramount for fostering seamless collaboration. In this context, we present a novel machine... 详细信息
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Exploring advanced Techniques for Security Testing of sensor Device Chips  2
Exploring Advanced Techniques for Security Testing of Sensor...
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2nd International conference on Inventive Computing and Informatics (ICICI)
作者: Li, Suye Jinan Vocat Coll Jinan 250000 Peoples R China
This study explores advanced techniques for security testing of sensor device chips, critical components in embedded systems and the Internet of Things (IoT). The study emphasizes comprehensive considerations includin... 详细信息
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Poster Abstract: Tasking Heterogeneous sensor systems with LLMs  24
Poster Abstract: Tasking Heterogeneous Sensor Systems with L...
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22nd ACM conference on Embedded Networked sensor systems, SenSys 2024
作者: Liu, Kaiwei Yang, Bufang Xu, Lilin Guo, Yunqi Ling, Neiwen Zhao, Zhihe Xing, Guoliang Shuai, Xian Ren, Xiaozhe Jiang, Xin Yan, Zhenyu The Chinese University of Hong Kong Hong Kong Hong Kong Noah's Ark Lab Huawei Technologies Hong Kong Hong Kong
Despite the extensive use of sensors enabling intelligent applications, the complementary potential of co-existing sensor systems is often not fully utilized, limiting more advanced applications. This paper introduces... 详细信息
来源: 评论