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Kok Swee Sim

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Conference Sep 2026

Deepfake-Resilient Semi-Fragile Audio Embedding with Adaptive Bandlimited Spread-Spectrum Embedding and Neural Provenance Verification

The rapid proliferation of deepfake audio poses significant threats to digital security and media integrity. This paper proposes a resilient semi-fragile audio watermarking framework for speech provenance authentication. The proposed Adaptive Bandlimited Spread-Spectrum (ABSS) embedder is guided by a psychoacoustic mas...

Kok Swee Sim, Md. Mijanur Rahman, M. Islam et al. · 0 citations
Conference Sep 2026

Deep Residual Attention U-Net for Cross-Dataset Image Denoising and Restoration

Real-world images are often noisy. Noises may come from sensor limitations, low illuminations, and other factors. Regardless of the sources, noises degrade image's quality and often affect the accuracy of later analysis in computer vision. To solve this, various denoising methods have been proposed. However, many of th...

Kok Swee Sim, Iksan Bukhori, Mahda Laina Arnumukti et al. · 0 citations
Conference Sep 2026

Multi-Resolution Dual-Branch DWT-MobileViT for Ultra-Lightweight Urban Noise Classification

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 · 0 citations
Open access Aug 2026

Smart In-Ear PPG-Based System for Arrhythmia Detection: Potential Applications in Space Exploration

Space missions require reliable and safe physiological monitoring systems, as well as capable of continuous operation, as microgravity affects cardiovascular function and heart rhythm stability. This study develops and validates an intelligent in-ear photoplethysmography (PPG) system for continuous cardiac rhythm monit...

K. Azudin, Kok-Beng Gan, R. Jaafar et al. · 0 citations
Conference Sep 2026

XAI-Enabled Ensemble Learning for Reliable Multi Omics Biomarker Discovery in Cancer

Early discovery of cancer biomarkers in a consistent manner still represents an important challenge, because these are obtained from multi-omics data whose high dimensionality, heterogeneity and noise. Although deep learning outperforms conventional models for cancer analysis prediction, single-model methods usually la...

Kok Swee Sim, Md. Tahidul Islam, Md. Mijanur Rahman et al. · 0 citations
Open access Aug 2026

Objective Motion Tracking for Rehabilitation: Quantitative Assessment Using Pose Estimation

A motion measurement system that improves body positioning by using computer vision techniques to quantitatively assess elbow flexibility and range of motion during rehabilitation, using a novel posture estimation model.

Kok Swee Sim, Mahda Laina Arnumukti · 0 citations
Open access Aug 2026

A hybrid ensemble-based parallel learning framework for multi-omics data integration and cancer subtype classification

A novel cancer subtype classification framework using multi-omics integration and an ensemble-based parallel DL/ML architecture with multimodal autoencoder used for effective feature learning across omics types, overcoming the limitations of naïve concatenation is presented.

Mohammed Nasser Al-Andoli, Shing-Chiang Tan, Kok Swee Sim et al. · 0 citations
Review Open access Sep 2026

Deployment-oriented evaluation of deep learning network intrusion detection systems

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 · 0 citations
Review Open access Jul 2026

Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions

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 · 0 citations

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