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Deposit, archive and share your final research data in DR-NTU (Data)

DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

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What can be deposited? Final, non-sensitive research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

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1,291 to 1,300 of 3,555 Results
Related data for: Contention Minimized Bypassing in SMART NoC
Dec 15, 2023 - Peng Chen
Chen, Peng, 2023, "Related data for: Contention Minimized Bypassing in SMART NoC", https://doi.org/10.21979/N9/BPBOYK, DR-NTU (Data), V1
This dataset contains keycodes for the proposed algorithms in the paper.
Frederick R Chen (Nanyang Technological University)
Frederick R Chen logo
Dec 15, 2023S. Rajaratnam School of International Studies
Research topics: • International Political Economy • Domestic Politics and International Relations
Related Data for: Tier 1 grant RG420
Dec 15, 2023 - GAO Tianshu
Gao, Tianshu, 2023, "Related Data for: Tier 1 grant RG420", https://doi.org/10.21979/N9/LRG76Y, DR-NTU (Data), V1, UNF:6:bPhXsI11A9D/LZAdYpXmOA== [fileUNF]
Constructing High-Loading Single-Atom/Cluster Catalysts via Electrochemistry
Related Data for: grant A20E5c0080
Dec 15, 2023 - GAO Tianshu
Gao, Tianshu, 2023, "Related Data for: grant A20E5c0080", https://doi.org/10.21979/N9/BOHBGQ, DR-NTU (Data), V1, UNF:6:bPhXsI11A9D/LZAdYpXmOA== [fileUNF]
Engineering Single-Atom Catalysts for Wastewater Treatment via Fenton-like Reaction
Related Data for: Tier 1 grant RG221
Dec 15, 2023 - GAO Tianshu
Gao, Tianshu, 2023, "Related Data for: Tier 1 grant RG221", https://doi.org/10.21979/N9/B1PSO5, DR-NTU (Data), V1, UNF:6:bPhXsI11A9D/LZAdYpXmOA== [fileUNF]
Selective On-Site Hydrogen Peroxide Synthesis via Electrochemical Oxygen Reduction Reaction
GAO Tianshu(Nanyang Technological University)
Dec 15, 2023School of Chemistry, Chemical Engineering and Biotechnology (CCEB)
Research data of grant RG221, RG420 and A20E5c0080.
Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Dec 14, 2023 - Zhu Shien
Zhu, Shien; Duong, H. K. Luan; Chen, Hui; Di, Liu; Liu, Weichen, 2023, "Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks", https://doi.org/10.21979/N9/DYKUPV, DR-NTU (Data), V1, UNF:6:UCCl9ySs+IN5trVkl2AGQQ== [fileUNF]
This dataset contains the codes, figures, and tables for the TCAD 2022 paper: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks.
Related data for: An efficient sparse LSTM accelerator on embedded FPGAs with bandwidth-oriented pruning
Dec 14, 2023 - LI Shiqing
Li, Shiqing, 2023, "Related data for: An efficient sparse LSTM accelerator on embedded FPGAs with bandwidth-oriented pruning", https://doi.org/10.21979/N9/MTHKVG, DR-NTU (Data), V1
Training procedure of the paper
Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI
Dec 14, 2023 - KONG Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI", https://doi.org/10.21979/N9/GCAMZH, DR-NTU (Data), V1
This is the source code repository for the publication "EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI".
HolyLight: A Nanophotonic Accelerator for Deep Learning in Data Centers
Dec 14, 2023 - Wenyang LIU
Liu, Weichen; Liu, Wenyang; Ye, Yichen; Lou, Qian; Xie, Yiyuan; Jiang, Lei, 2023, "HolyLight: A Nanophotonic Accelerator for Deep Learning in Data Centers", https://doi.org/10.21979/N9/PQHAIQ, DR-NTU (Data), V1
Related data for paper HolyLight : a nanophotonic accelerator for deep learning in data centers.
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