Standard environmental sound classification frameworks compress 1D acoustic waveforms into 2D Mel-Spectrograms, discarding raw phase boundaries and flattening fine-grained temporal envelopes. Deep 2D convolutional networks struggle to isolate transient, pulsed mechanical sounds like jackhammers or vehicle horns in nois...
Kai Liang Lew, C. Toa, Kok Swee Sim· International Conference on...· 0 citations
Real-time data streams in Web of Things (WoT) and edge computing environments often evolve through latent regime changes. For online representation learning under strict computational constraints, the central problem is resolving the stability-plasticity dilemma: keeping useful historical knowledge while rapidly reacti...
Si-Rui He, Kai Liang Lew, C. Ong et al.· 0 citations
Future works require better cross-dataset testing, more evaluations of unseen attacks, and reliability checks in real-world secure communication environments, as well as joint evidence that the models can handle new attacks and new datasets while remaining reliable in IoT, IIoT, SDN, and future internet environments.
Kai Liang Lew, Kok Swee Sim, Hao Xian Cheong· Frontiers in Communications...· 0 citations
This review presents a comprehensive taxonomy of post-2017 architectures, a comparative synthesis of laboratory versus deployment performance, and a critical analysis of key implementation challenges, and outlines key recommendations for developing adaptive, location-independent models.
Kok Chung Chua, Kai Liang Lew, Chean Khim Toa et al.· Artificial Intelligence and...· 0 citations
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