1,601 to 1,610 of 5,197 Results
Sep 9, 2024 - Chen Change LOY
Loy, Chen Change, 2024, "MMDetection3D", https://doi.org/10.21979/N9/15XUKI, DR-NTU (Data), V1
MMDetection3D is an open source object detection toolbox based on PyTorch, towards the next-generation platform for general 3D detection. It is a part of the OpenMMLab project. |
Sep 9, 2024S-Lab for Advanced Intelligence
Research topics: • Dr Loy's research interests include computer vision and deep learning with a focus on image/video restoration and enhancement, creative content generation, and representation learning. For more information, visit this webpage. |
Sep 9, 2024
S-Lab for Advanced Intelligence, established in 2020, is a university laboratory at NTU focusing on research and development of cutting-edge AI technologies in computer vision, natural language processing, reinforcement learning, deep learning, and distributed computing. We aim t... |
Aug 30, 2024 - Narendra VISHWAKARMA
Vishwakarma, Narendra, 2024, "Related Data for: Intelligent-reflecting-surfaces-assisted hybrid FSO/RF communication with diversity combining: a performance analysis", https://doi.org/10.21979/N9/XRDOTT, DR-NTU (Data), V1
MATLAB source code the publication title: "Intelligent-reflecting-surfaces-assisted hybrid FSO/RF communication with diversity combining: a performance analysis" These code will produce the outage probability and Bit error rate plots for the above paper |
Aug 30, 2024 -
Related Data for: Intelligent-reflecting-surfaces-assisted hybrid FSO/RF communication with diversity combining: a performance analysis
RAR Archive - 57.0 KB -
MD5: 1530fbe8f3f591da8b5b22617c358215
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Aug 30, 2024
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Aug 21, 2024 - Resource Allocation for Edge-Cloud System
Gao, Chuanchao; Kumar, Niraj; Easwaran, Arvind, 2024, "Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing", https://doi.org/10.21979/N9/VJTMBM, DR-NTU (Data), V2, UNF:6:ujvYZ07RwxVvj5sepdEDNw== [fileUNF]
Experiment data for paper "Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing". |
Aug 21, 2024 -
Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
JSON - 121.1 MB -
MD5: 34e8ec911e8567c70dc065bc1166aa75
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Aug 21, 2024 -
Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
JSON - 121.1 MB -
MD5: 34e8ec911e8567c70dc065bc1166aa75
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Aug 21, 2024 -
Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
JSON - 121.1 MB -
MD5: 34e8ec911e8567c70dc065bc1166aa75
|
