Teck Kai Chan

14 papers C 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
Lightweight Convolutional-iConformer for Sound Event Detection.
IEEE Trans. Artif. Intell.
Teck Kai Chan, Cheng Siong Chin
2021 J jnl
A better estimation of wave arrival time in water distribution networks using WAvelet kNEe (WANE).
Adv. Eng. Informatics
Teck Kai Chan, Cheng Siong Chin, Ye Li, Ebrahim Shafiee, Lina Sela
2021 C conf
Detecting Sound Events Using Convolutional Macaron Net With Pseudo Strong Labels.
MMSP
Teck Kai Chan, Cheng Siong Chin
2021 J jnl
Multi-Branch Convolutional Macaron net for Sound Event Detection.
IEEE ACM Trans. Audio Speech Lang. Process.
Teck Kai Chan, Cheng Siong Chin
2021 J jnl
Semi-Supervised NMF-CNN for Sound Event Detection.
IEEE Access
Teck Kai Chan, Cheng Siong Chin, Ye Li
2020 J jnl
A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones.
IEEE Trans. Intell. Transp. Syst.
Teck Kai Chan, Cheng Siong Chin, Hao Chen, Xionghu Zhong
2020 J jnl
A Comprehensive Review of Polyphonic Sound Event Detection.
IEEE Access
Teck Kai Chan, Cheng Siong Chin
2020 J jnl
Detecting Acoustic Events Using Convolutional Macaron Net.
CoRR
Teck Kai Chan, Cheng Siong Chin
2020 J jnl
Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) For Sound Event Detection.
CoRR
Teck Kai Chan, Cheng Siong Chin, Ye Li
2020 J jnl
Semi-Supervised NMF-CNN For Sound Event Detection.
CoRR
Teck Kai Chan, Cheng Siong Chin, Ye Li
2019 J jnl
Health stages diagnostics of underwater thruster using sound features with imbalanced dataset.
Neural Comput. Appl.
Teck Kai Chan, Cheng Siong Chin
2019 — conf
Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) for Sound Event Detection.
DCASE
Teck Kai Chan, Cheng Siong Chin, Ye Li
2018 J jnl
Review of Current Technologies and Proposed Intelligent Methodologies for Water Distributed Network Leakage Detection.
IEEE Access
Teck Kai Chan, Cheng Siong Chin, Xionghu Zhong
2017 — conf
Proposed framework for multi-level extreme machine learning for underwater thruster's fault classification using YIN fundamental frequency estimator and pitch sound.
ICARM
Teck Kai Chan, Cheng Siong Chin