Flexible multi-objective particle swarm optimization clustering with game theory to address human activity discovery fully unsupervised von Hadikhani, Parham, Lai, Daphne Teck Ching, Ong, Wee-Hong

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Human Activity Discovery with Automatic Multi-Objective Particle Swarm Optimization Clustering with Gaussian Mutation and Game Theory von Hadikhani, Parham, Lai, Daphne Teck Ching, Ong, Wee-Hong

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A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization With Gaussian Mutation von Hadikhani, Parham, Lai, Daphne Teck Ching, Ong, Wee-Hong

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Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation von Hussein, Burhan Rashid, Malik, Owais Ahmed, Ong, Wee-Hong, Slik, Johan Willem Frederik

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Automatic Deep Sparse Multi-Trial Vector-based Differential Evolution clustering with manifold learning and incremental technique von Hadikhani, Parham, Lai, Daphne Teck Ching, Ong, Wee-Hong, Nadimi-Shahraki, Mohammad H.

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Leveraging a novel NFT-enabled blockchain architecture for the authentication of IoT assets in smart cities von Khalil, Usman, Malik, Owais Ahmed, Hong, Ong Wee, Uddin, Mueen

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Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review von Hussein, Burhan Rashid, Malik, Owais Ahmed, Ong, Wee-Hong, Slik, Johan Willem Frederik

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Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy von Hussein, Burhan Rashid, Malik, Owais Ahmed, Ong, Wee-Hong, Slik, Johan Willem Frederik

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Quad-Channel Contrastive Prototype Networks for Open-Set Recognition in Domain-Specific Tasks von Alfarisy, Gusti Ahmad Fanshuri, Malik, Owais Ahmed, Hong, Ong Wee

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A Novel NFT Solution for Assets Digitization and Authentication in Cyber-Physical Systems: Blueprint and Evaluation von Khalil, Usman, Uddin, Mueen, Malik, Owais Ahmed, Hong, Ong Wee

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Semantic Segmentation of Herbarium Specimens Using Deep Learning Techniques von Hussein, Burhan Rashid, Malik, Owais Ahmed, Ong, Wee-Hong, Slik, Johan Willem Frederik

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Towards open domain-specific recognition using Quad-Channel Self-Attention Reciprocal Point Learning and Autoencoder von Alfarisy, Gusti Ahmad Fanshuri, Malik, Owais Ahmed, Hong, Ong Wee

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Automatic deep sparse clustering with a dynamic population-based evolutionary algorithm using reinforcement learning and transfer learning von Hadikhani, Parham, Lai, Daphne Teck Ching, Ong, Wee-Hong, Nadimi-Shahraki, Mohammad H.

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Unsupervised Human Activity Detection with Skeleton Data from RGB-D Sensor von Wee-Hong Ong, Koseki, Takafumi, Palafox, Leon

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Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 6... von Hussein, Burhan Rashid, Malik, Owais Ahmed, Ong, Wee-Hong, Slik, Johan Willem Frederik

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Face detection and tracking using hybrid margin-based ROI techniques von Rehman, Bacha, Ong, Wee Hong, Tan, Abby Chee Hong, Ngo, Trung Dung

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Biodiversity and big data to investigate the link between biosonar sensing and flight control in bats von Müller, Rolf, Hu, Yihao, Junaidi, Bibi, Kramer, Samuel, Nnoka, Chi, Parisi, Phillip M., Park, Jungsoo, Rock, Nicholas K., Shing, Jared, Srinivasan, Udhaya, Su'eif, Muhammad Syafi'ie, Yessayan, Danny, Zhang, Margaret, Grafe, Ulmar, Liyanage, Chandratilak De Silva, Malik, Owais Ahmed, Ong, Wee Hong

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Automated Classification of Tropical Plant Species Data Based on Machine Learning Techniques and Leaf Trait Measurements von Hussein, Burhan Rashid, Malik, Owais Ahmed, Ong, Wee-Hong, Slik, Johan Willem Frederik

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Impact of LEGO sensors in remote controlled robot von Chin, K.C.-Y., Buhari, S.M., Wee-Hong Ong

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An Unsupervised Approach for Human Activity Detection and Recognition von Ong, Wee Hong, Palafox, Leon, Koseki, Takafumi

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