Evaluation of the effectiveness of rehabilitation therapy is often based on patient outcomes and functional improvement over time. However, traditional approaches are subjective and heavily influenced by expert perspectives and perceptions, which can lead to inconsistencies in research. This study developed a motion me...
Kok Swee Sim, Mahda Laina Arnumukti· International Journal on Adv...· 0 citations
Integrating multi-omics data to understand biological processes in human diseases is a complex bioinformatic task. Machine learning (ML), particularly deep learning (DL) models, offers a promising approach to multi-omics data integration and analysis. However, existing DL models generally integrate multi-omics data by...
Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok Swee Sim et al.· PeerJ Computer Science· 0 citations
Deep learning models are now used as a security layer in network intrusion detection systems. These models are often used in Internet of Things (IoT), industrial Internet of Things (IIoT), software-defined networking (SDN), and future internet communication environments. Most of the models reviewed in literature are st...
Kai Liang Lew, Kok Swee Sim, Hao Xian Cheong· Frontiers in Communications...· 0 citations
This mini review surveys the current landscape of transformer-based approaches to digital watermarking and deepfake detection, with a focus on their capacity to operate across multiple modalities within unified architectures and tracing the progression from classical signal-based watermarking to attention-driven deep l...
Kok Swee Sim, M. Islam· Frontiers in Artificial Inte...· 0 citations
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