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Naive Bayes Multi-Label Classification Approach for High-Voltage Condition Monitoring.

, , , , and . IOTAIS, page 162-166. IEEE, (2018)

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Classification of partial discharge EMI conditions using permutation entropy-based features., , , , and . EUSIPCO, page 1375-1379. IEEE, (2017)A Deep Convolutional Neural Network for Semantic Pixel-Wise Segmentation of Road and Pavement Surface Cracks., , , , and . EUSIPCO, page 2120-2124. IEEE, (2018)Imaging Time Series for the Classification of EMI Discharge Sources., , , , , and . Sensors, 18 (9): 3098 (2018)Naive Bayes Multi-Label Classification Approach for High-Voltage Condition Monitoring., , , , and . IOTAIS, page 162-166. IEEE, (2018)Robust Deep Residual Shrinkage Networks for Online Fault Classification., , , , and . EUSIPCO, page 1691-1695. IEEE, (2021)A Convolutional Neural Network for Pavement Surface Crack Segmentation Using Residual Connections and Attention Gating., , , , and . ICIP, page 1460-1464. IEEE, (2019)Can a deep learning based IoT fault diagnosis system identify more than one fault at a time?, , , , and . IoTaIS, page 19-24. IEEE, (2022)Custom memory architecture for multi-core implementation of face detection algorithm., , , and . ACM Great Lakes Symposium on VLSI, page 125-130. ACM, (2013)Improving Student Engagement and Active Learning with Embedded Automated Self-assessment Quizzes: Case Study in Computer System Architecture Design., and . SAI (3), volume 285 of Lecture Notes in Networks and Systems, page 327-339. Springer, (2021)Low Complexity Classification of Power Asset Faults for Real Time IoT-based Diagnostics., , , , and . GCAIoT, page 1-6. IEEE, (2020)