Smart Objects

Author:

Katsidimas Ioannis1,Kotzakolios Thanasis1,Nikoletseas Sotiris1,Panagiotou Stefanos H.1,Tsakonas Constantinos1

Affiliation:

1. University of Patras, Greece

Publisher

ACM

Reference18 articles.

1. Georgios Athanasakis , Gabriel Filios , Ioannis Katsidimas , Sotiris Nikoletseas , and Stefanos H. Panagiotou . 2022. TinyML-based approach for Remaining Useful Life Prediction of Turbofan Engines . 27th International Conference on Emerging Technologies and Factory Automation (ETFA) ( 2022 ). Georgios Athanasakis, Gabriel Filios, Ioannis Katsidimas, Sotiris Nikoletseas, and Stefanos H. Panagiotou. 2022. TinyML-based approach for Remaining Useful Life Prediction of Turbofan Engines. 27th International Conference on Emerging Technologies and Factory Automation (ETFA) (2022).

2. Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications

3. Algorithm 659

4. Leo Breiman . 2001. Random forests. Machine learning 45, 1 ( 2001 ), 5--32. Leo Breiman. 2001. Random forests. Machine learning 45, 1 (2001), 5--32.

5. Impact Localization and Severity Estimation on Composite Structure Using Fiber Bragg Grating Sensors by Least Square Support Vector Regression

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LuxTrack: Activity Inference Attacks via Smartphone Ambient Light Sensors and Countermeasures;IEEE Internet of Things Journal;2024-09-01

2. (POSTER)DNN Task Allocation for Edge-Aided IoT;2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2023-06

3. An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device;Sensors;2023-01-12

4. Impact Events for Structural Health Monitoring of a Plastic Thin Plate;Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems;2022-11-06

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