Ice Detection on Edge Device Based on Most Significant Digit First SVM

Author:

Mohammadreza Najafi1ORCID,Gorgin Saeid2ORCID,Javaheri Danial1ORCID,Lee Jeong-A1ORCID

Affiliation:

1. computer engineering, Chosun University, south korea

2. computer engineering, Chosun University, south korea and Department of Electrical Engineering and Information Technology, IROSt, Iran

Publisher

ACM

Reference21 articles.

1. S. Gorgin , M. H. Gholamrezaei , D. Javaheri , and J.-A. Lee , “ An Efficient FPGA Implementation of k-Nearest Neighbors via Online Arithmetic ,” in 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) , 2022 , pp. 1– 2 , doi: 10.1109/FCCM53951.2022.9786165. 10.1109/FCCM53951.2022.9786165 S. Gorgin, M. H. Gholamrezaei, D. Javaheri, and J.-A. Lee, “An Efficient FPGA Implementation of k-Nearest Neighbors via Online Arithmetic,” in 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2022, pp. 1–2, doi: 10.1109/FCCM53951.2022.9786165.

2. Road-Condition Recognition Using 24-GHz Automotive Radar

3. S. Kumar , S. Singh , and J. Kumar , “ Multiple Face Detection Using Hybrid Features with SVM Classifier BT - Data and Communication Networks ,” 2019 , pp. 253– 265 . S. Kumar, S. Singh, and J. Kumar, “Multiple Face Detection Using Hybrid Features with SVM Classifier BT - Data and Communication Networks,” 2019, pp. 253–265.

4. A comprehensive survey on support vector machine classification: Applications, challenges and trends

5. Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout;Ali A. A. A.;J. King Saud Univ. - Comput. Inf. Sci.

Cited by 2 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. Low-Power BLACK-ICE Detection for Safety Critical Edge Devices on Roads;2024 Fifteenth International Conference on Ubiquitous and Future Networks (ICUFN);2024-07-02

2. MSDF-SVM: Advantage of Most Significant Digit First Arithmetic for SVM Realization;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29

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