Hurry and join the conversation at the 1st International Conference on AI Sensors & The 10th International Symposium on Sensor Science (#AISI3S)! 🤖🔬
🎉Announcing Our Symposium Chairs👏
Symposium 5. Advances in Intelligent Sensors and Robots for AI-Enhanced Applications - Industry 5.0, Digital Twin, Smart Homes, Healthcare, and Rehabilitation
Led by Leading Researchers:
Prof. Haotian Chen
Prof. Sanghoon Lee
⚡️Abstract Submission is OPEN!
🌐 For more information, visit our website: https://bit.ly/3sBLshg
📅 Save the Date:
Abstract Submission Deadline: 3 April 2024
Abstract Acceptance Notification: 3 May 2024
Early Bird Registration: 3 June 2024
Conference Date: 1-4 August 2024
Location: NUS U-Town, #Singapore
#SensorScience #AISensor #SensorConference #AISensorConference #ArtificialIntelligence #SingaporeConference #aisi3s
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📌Latest Paper📌
A Deep Learning Approach to Lunar Rover Global Path Planning Using Environmental Constraints and the Rover Internal Resource Status
by Toshiki Tanaka and Heidar Malki
🏫: University of Houston
https://www.mdpi.com/1424-8220/24/3/844
Abstract: This research proposes a novel approach to global path and resource planning for lunar rovers. The proposed method incorporates a range of constraints, including static, time-variant, and path-dependent factors related to environmental conditions and the rover’s internal resource status. These constraints are integrated into a grid map as a penalty function, and a reinforcement learning-based framework is employed to address the resource constrained shortest path problem (RCSP). Compared to existing approaches referenced in the literature, our proposed method enables the simultaneous consideration of a broader spectrum of constraints. This enhanced flexibility leads to improved path search optimality. To evaluate the performance of our approach, this research applied the proposed learning architecture to lunar rover path search problems, generated based on real lunar digital elevation data. The simulation results demonstrate that our architecture successfully identifies a rover path while consistently adhering to user-defined environmental and rover resource safety criteria across all positions and time epochs. Furthermore, the simulation results indicate that our approach surpasses conventional methods that solely rely on environmental constraints.
#Lunar #Rover #deeplearning
📢New Special Issue📢 #callforpapers
Artificial Intelligence Enhanced Health Monitoring and Diagnostics: 2nd Edition
https://www.mdpi.com/journal/sensors/special_issues/WWY39Q7KKA
Guest Editors:
Prof. Dr. Jun Wu from Huazhong University of Science and Technology（華中科技大學）
Dr. Zhaojun Steven Li from Western New England University
Prof. Dr. Yi Qin from Chongqing University
Dr. Carman K.M. Lee from The Hong Kong Polytechnic University
Deadline for manuscript submissions: 5 December 2024
The aim of this Special Issue is to provide a platform for scientists, engineers and industrial practitioners to present their latest theoretical and technological advancements in artificial intelligence-enhanced health monitoring and diagnositics for industrial systems. High-quality research articles, short communication and reviews are welcome. Research studies that seek to address recent developments in advanced artificial intelligence algorithms are of special interest, such as deep learning, ensemble learning, transfer learning and reinforcement learning, and are well suited for enhancing the health monitoring, diagnositics and prognostics of industrial systems.
Papers are solicited in but are not limited to the following and related topics:
📌Artificial intelligence algorithms for health monitoring and fault diagnosis;
📌Big data mining methods for anomaly detection;
📌Deep learning methods for intelligent fault prognostics;
📌Deep transfer learning algorithms for fault diagnosis with small fault samples;
📌Deep reinforcement learning methods for prognostics and health management;
📌Artificial intelligence-based edge and cloud computing for health monitoring.
#AI #artificialintelligence #deeplearning #structuralhealthmonitoring #fault
Hurry and join the conversation at the 1st International Conference on AI Sensors & The 10th International Symposium on Sensor Science (#AISI3S)! 🤖🔬
🌟 Announcing Our Workshop 3 Chairs🌟
Workshop 3: Sensors and IC Sensors Using CMOS MEMS and CMOS Compatible Materials
Lead by Leading Researchers:
Prof. Nan Wang, Shanghai University, China
Prof. Wei-Chang Li, 國立臺灣大學 National Taiwan University, Taiwan
Prof. Yi-Kuen Lee, The Hong Kong University of Science and Technology - HKUST, Hong Kong, China
⚡️Abstraction Submission is OPEN!
🌐 For more information, visit our website: http://tinyurl.com/r6y24unt
📅 Save the Date:
Abstract Submission Deadline: 3 April 2024
Abstract Acceptance Notification: 3 May 2024
Early Bird Registration: 3 June 2024
Conference Date: 1-4 August 2024
Location: NUS U-Town, #Singapore
MDPI MDPI Sciforum MDPI Thailand
🎊 EXCITING NEWS! Here’s what you can expect at the 1st International Conference on AI Sensors & The 10th International Symposium on Sensor Science (#AISI3S)! 🤖🔬
🌟 Be at the forefront of Innovation🌟
Hear from leading experts regarding the latest findings on sensors, sensing technology, artificial intelligence for sensing applications and AI-enhanced sensing systems at the 10th AIS-I3S.
⚡️Abstraction Submission is OPEN!
🌐 For more information, visit our website: https://bit.ly/3sBLshg
📅 Save the Date:
Abstract Submission Deadline: 3 April 2024
Abstract Acceptance Notification: 3 May 2024
Early Bird Registration: 3 June 2024
Conference Date: 1-4 August 2024
Location: NUS U-Town, Singapore
#SensorScience #AISensor #SensorConference #AISensorConference #ArtificialIntelligence #SingaporeConference #aisi3s
MDPI MDPI Sciforum
📌Latest Paper📌
Nitin Kumar Singh, Kazuto Takashima, Shyam S. Pandey. Enhancement in Capacitance of Ionic Type of EAP-Based Strain Sensors. https://doi.org/10.3390/s23239400
🏫 九州工業大学 Kyushu Institute of Technology
📌Latest Paper📌
A Novel Tactile Sensing System Utilizing Magnetorheological Structures for Dynamic Contraction and Relaxation Motions
https://www.mdpi.com/1424-8220/23/22/9035
by Yu-Jin Park, Bo-Gyu Kim, Eun-Sang Lee, Seung-Bok Choi
🏫: 인하대학교 - Inha University SUNY Korea (한국뉴욕주립대학교) Industrial University of Ho Chi Minh City (IUH)
Season’s Greetings from Dr. Edgar Muñoz, Section Editor-in-Chief of “Nanosensors” section
https://bit.ly/3w3Zd6C
Season’s Greetings from Prof. Dr. Yuh-Shyan Chen, the Section Associate Editor of the “Sensor Networks” Section
https://bit.ly/3VpJkBU
Season's Greetings from Dr. Felipe Jiménez—Section Board Member of “Vehicular Sensing”
https://bit.ly/3PROUf7
The "Vehicular Sensing" Section of Sensors (ISSN: 1424-8220) was established in 2021 and publishes original peer-reviewed papers and surveys covering all aspects of sensing technologies in relation to vehicles. Check more details about the section here: https://bit.ly/3WMeq7O
This Season's Greetings video is from the Section Editor-in-Chief of the "Navigation and Positioning" Section, Prof. Dr. Chris Rizos, who is a professor at the University of New South Wales.
Check more details here: https://bit.ly/3WquQ65
Season’s Greetings from the Editor-in-Chief - Prof. Dr. Vittorio Passaro
Check it further here: https://bit.ly/3I48tyH
