Suchergebnisse - "Michael Kwok-Po Ng"

Global prevalence of compound heatwaves from 1980 to 2022

Autoren: Kun Zhang Jin-Bao Li Michael Kwok-Po Ng et al.

Quelle: Advances in Climate Change Research, Vol 16, Iss 3, Pp 565-575 (2025)

Schlagwörter: Compound heatwaves, Climate mode, Global pattern, Temporal dynamics, Meteorology. Climatology, QC851-999, Social sciences (General), H1-99

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S167492782500084X; https://doaj.org/toc/1674-9278

Zugangs-URL: https://doaj.org/article/7c7dba3d5f564528aa7f80099dab92aa

Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model

Autoren: Yihang Dong Changhong Jing Mufti Mahmud et al.

Quelle: Brain Informatics, Vol 11, Iss 1, Pp 1-9 (2024)

Schlagwörter: Emotion recognition, EEG, Temporal causal network, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2198-4018; https://doaj.org/toc/2198-4026

Zugangs-URL: https://doaj.org/article/17e5f9e4e80c498d9a86716ef77db282

A 'set' of ancient bronze bells excavated in Changsha, Hunan Province, China

Autoren: Kin Sum Li Yu Liu Guancong Ma et al.

Quelle: Heritage Science, Vol 12, Iss 1, Pp 1-15 (2024)

Schlagwörter: Bell, Ancient China, Changsha, Musical instrument, Pitch, Chromatic scale, Fine Arts, Analytical chemistry, QD71-142

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2050-7445

Zugangs-URL: https://doaj.org/article/39953e88ebac435ea6b4fd4924a2b1a1

Optimal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detection

Autoren: Jie Zhang Pak-Wai Chan Michael Kwok-Po Ng

Quelle: Remote Sensing, Vol 16, Iss 23, p 4423 (2024)

Schlagwörter: light detection and ranging, windshear detection, positive and unlabeled learning, optimal transport, multiple instance learning, Science

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/23/4423; https://doaj.org/toc/2072-4292

Zugangs-URL: https://doaj.org/article/d52dd164ab614637b6f77fccd66903df

SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-Sampling From a Single Image

Autoren: Bowen Hu Weiheng Yao Sibo Qiao et al.

Quelle: IEEE Transactions on Emerging Topics in Computational Intelligence. 9:3677-3689

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: http://arxiv.org/abs/2305.12646

Missing Data Reconstruction for Remote Sensing Images With Weighted Low-Rank Tensor Model

Autoren: Qing Cheng Qiangqiang Yuan Michael Kwok-Po Ng et al.

Quelle: IEEE Access, Vol 7, Pp 142339-142352 (2019)

Schlagwörter: Missing information reconstruction, tensor completion, low-rank model, remote sensing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/8852746/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/79adba9c7fce446e836e0d08a190c3ae

Sparse Aerial Ground Height Recovery Using Normalized Weighted Nonlocal Laplacian

Autoren: Yu Guo Caiying Wu Xi-Le Zhao et al.

Quelle: IEEE Transactions on Instrumentation and Measurement. 74:1-17

BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment

Autoren: Qiankun Zuo Ling Chen Yanyan Shen et al.

Quelle: IEEE Transactions on Automation Science and Engineering. 22:5601-5613

Schlagwörter: FOS: Computer and information sciences, Quantitative Biology - Neurons and Cognition, Computer Vision and Pattern Recognition (cs.CV), FOS: Biological sciences, Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Neurons and Cognition (q-bio.NC), Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38168455
http://arxiv.org/abs/2312.09022

A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning

Autoren: Yongcheng Zong Qiankun Zuo Michael Kwok-Po Ng et al.

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46:10389-10403

Schlagwörter: Brain Diseases, Deep Learning, Alzheimer Disease, Image Processing, Computer-Assisted, Humans, Brain, Nerve Net, Algorithms, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39137077

FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks

Autoren: Fengcheng Lu Michael Kwok-Po Ng

Quelle: ACM Transactions on Knowledge Discovery from Data. 18:1-26

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Fast Electromagnetic Inversion Solver Based on Conditional Generative Adversarial Network for High-Contrast and Heterogeneous Scatterers

Autoren: He Ming Yao Huan Huan Zhang Lijun Jiang et al.

Quelle: IEEE Transactions on Antennas and Propagation. 72:3485-3494

An Optimal Transport View for Subspace Clustering and Spectral Clustering

Autoren: Yuguang Yan Zhihao Xu Canlin Yang et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 38:16281-16289

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport

Autoren: Yuguang Yan Zeqin Yang Weilin Chen et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 38:16290-16298

Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition

Autoren: Yihang Dong Xuhang Chen Yanyan Shen et al.

Quelle: Communications in Computer and Information Science ISBN: 9789819770069

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2405.19373

Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep learning

Autoren: Calvin Ka Fai Lee Guangqin Song Helene C. Muller-Landau et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 201:92-103

Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising

Autoren: Jing Guo Yu Guo Qiyu Jin et al.

Quelle: SIAM Journal on Imaging Sciences. 15:1601-1622

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Enhanced Supervised Descent Learning Technique for Electromagnetic Inverse Scattering Problems by the Deep Convolutional Neural Networks

Autoren: He Ming Yao Rui Guo Maokun Li et al.

Quelle: IEEE Transactions on Antennas and Propagation. 70:6195-6206

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction

Autoren: Yu Guo Guoqing Chen Tieyong Zeng et al.

Quelle: Pattern Recognition. 158:110986

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2409.07797

ConnectomeDiffuser: Generative AI Enables Brain Network Construction From Diffusion Tensor Imaging

Autoren: Xuhang Chen Yanyan Shen Mufti Mahmud et al.

Quelle: IEEE Transactions on Consumer Electronics. :1-1

Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep Learning Constraint

Autoren: Rui Guo He Ming Yao Maokun Li et al.

Quelle: IEEE Transactions on Geoscience and Remote Sensing. 59:7982-7995

Schlagwörter: 01 natural sciences, 0105 earth and related environmental sciences

Zugangs-URL: https://ieeexplore.ieee.org/document/9250595
https://doi.org/10.1109/TGRS.2020.3032743
https://dblp.uni-trier.de/db/journals/tgrs/tgrs59.html#GuoYLNJA21