KA LUN, EDDIE LAW

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每年研究成果

指紋

查看啟用 KA LUN, EDDIE LAW 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。

1 類似的個人檔案

41 Conference contribution
29 Article
5 Conference article
4 Paper
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From biogenesis to deep modeling: a holistic review of miRNA–disease prediction computational methods with experimental comparison
Xie, S. & Law, K. L. E., 1 1月 2026, 於: Briefings in Bioinformatics. 27, 1, bbaf736.
研究成果: Article › 同行評審

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1 引文斯高帕斯（Scopus）
Loyalty-SMOTE: Data synthesis algorithm for effective imbalanced data classification
Hu, S., Li, J., Li, Z., Zhang, Z., Feng, Y. & Law, K. L. E., 7月 2026, 於: Neural Networks. 199, 108677.
研究成果: Article › 同行評審
Lookup Table Designs for Real-Time RAFT Consensus Agreements on HAPS Platforms
Wen, Y. & Law, K. L. E., 2025, Proceedings - 2025 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2025. Zhao, L., Sun, Y., Yang, K., Liu, Z., Bensliman, A. & Malekian, R. (編輯). Institute of Electrical and Electronics Engineers Inc., p. 419-426 8 p. (Proceedings - 2025 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2025).
研究成果: Conference contribution › 同行評審
MambaPan3D: Mamba-Transformer for 3D LiDAR Panoptic Segmentation with Adaptive Coordinate Fusion
Zhou, R. & Law, K. L. E., 2025, Proceedings - 2025 IEEE 37th International Conference on Tools with Artificial Intelligence, ICTAI 2025. IEEE Computer Society, p. 544-551 8 p. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI).
研究成果: Conference contribution › 同行評審
Model to Learn Like Humans
Wang, L. & Law, K. L. E., 2025, Computer, 58, 1, p. 58-65 8 p.
研究成果: Article

New Engineering Research Has Been Reported by Researchers at Faculty of Applied Sciences (Edge Computing-Based Distributed Intrusion Detection Systems via Multi-Hop Split Learning)
LAM, C. T., LAW, K. L. E. & NG, K. K. B.
11/03/26
1 的項目媒體報導
新聞/媒體: Press/Media
Studies from Faculty of Applied Sciences in the Area of Engineering Published (A Comprehensive Review of Compressed Image Restoration and Compression Artifact Reduction Techniques)
LAW, K. L. E.
1/01/26
1 的項目媒體報導
新聞/媒體: Press/Media
Research from Faculty of Applied Sciences in the Area of Engineering Described (Remote Sensing and Deep Learning for Algal Blooms: A Review)
LAW, K. L. E.
11/11/25
1 的項目媒體報導
新聞/媒體: Press/Media
Report Summarizes Engineering Study Findings from Faculty of Applied Sciences (Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons)
LAW, K. L. E.
23/12/24
1 的項目媒體報導
新聞/媒體: Press/Media
Faculty of Applied Sciences Researchers Add New Study Findings to Research in Engineering (Automatic Lane Discovery and Traffic Congestion Detection in a Real-Time Multi-Vehicle Tracking Systems)
KE, W., LAM, C. T., WANG, L., IM, S. K., LAW, K. L. E. & NG, K. K. B.
22/11/24
1 的項目媒體報導
新聞/媒體: Press/Media

羅家倫

指紋

過去五年中的合作和熱門研究領域

深入探索詳細資料

From biogenesis to deep modeling: a holistic review of miRNA–disease prediction computational methods with experimental comparison

Loyalty-SMOTE: Data synthesis algorithm for effective imbalanced data classification

Lookup Table Designs for Real-Time RAFT Consensus Agreements on HAPS Platforms

MambaPan3D: Mamba-Transformer for 3D LiDAR Panoptic Segmentation with Adaptive Coordinate Fusion

Model to Learn Like Humans

New Engineering Research Has Been Reported by Researchers at Faculty of Applied Sciences (Edge Computing-Based Distributed Intrusion Detection Systems via Multi-Hop Split Learning)

Studies from Faculty of Applied Sciences in the Area of Engineering Published (A Comprehensive Review of Compressed Image Restoration and Compression Artifact Reduction Techniques)

Research from Faculty of Applied Sciences in the Area of Engineering Described (Remote Sensing and Deep Learning for Algal Blooms: A Review)

Report Summarizes Engineering Study Findings from Faculty of Applied Sciences (Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons)

Faculty of Applied Sciences Researchers Add New Study Findings to Research in Engineering (Automatic Lane Discovery and Traffic Congestion Detection in a Real-Time Multi-Vehicle Tracking Systems)

羅 家倫

指紋

過去五年中的合作和熱門研究領域

研究成果

新聞/媒體

羅家倫