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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.

Who can deposit? NTU faculty, research staff and students.

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.

How to deposit?

Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

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58,891 to 58,900 of 84,473 Results
NoC.patch
Mar 7, 2022 - ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission
Unknown - 273.3 KB - MD5: 718b6087b43dd527031b53ae2c1dd13a
README.md
Mar 7, 2022 - ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission
Markdown Text - 4.0 KB - MD5: 625f1865a14c0d73d485dc401291f008
autocor_Mesh8x8_AIR1_free.json
Mar 7, 2022 - Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs
JSON - 2.6 KB - MD5: f52ad4cf559584a75525c8f8534ba628
autocor_Mesh8x8_AIR1_split.json
Mar 7, 2022 - Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs
JSON - 5.3 KB - MD5: d714e3f8832190aed12e46f70c19d350
libs.cpython-37.pyc
Mar 7, 2022 - Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs
Unknown - 13.0 KB - MD5: 723795fe9f2229c1365f98abd213de66
libs.py
Mar 7, 2022 - Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs
Python Source Code - 28.6 KB - MD5: ec9530595243f4feae13f4f3ac34ee8c
log.txt
Mar 7, 2022 - Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs
Plain Text - 1.8 KB - MD5: 4c213420a853a833ffa80bf882ac887f
main_autocor.py
Mar 7, 2022 - Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs
Python Source Code - 9.3 KB - MD5: 4156ac6ae2362a36fd1831db0fa19c50
nohup.out
Mar 7, 2022 - Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs
Unknown - 16.4 KB - MD5: a1fac0a3323bd7399f33717e16e7ad79
README.md
Mar 7, 2022 - Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs
Markdown Text - 618 B - MD5: 74fc071804f528ea2a0d611a307b6937
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