DR-NTU (Data)

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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.

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

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Asian School of the Environment (ASE)

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2,991 to 3,000 of 3,545 Results

James B Ang(Nanyang Technological University) Mar 10, 2020School of Social Sciences (SSS) Research topics: • Long-Run Comparative Development • Culture and Economics
Case Descriptions and Sequence Diagrams for "Technology Spin-offs from Universities: Strategic Mechanisms to Navigate the Problem and Solution Space" Mar 5, 2020 - Boh Wai Fong Boh, Wai Fong, 2020, "Case Descriptions and Sequence Diagrams for "Technology Spin-offs from Universities: Strategic Mechanisms to Navigate the Problem and Solution Space"", https://doi.org/10.21979/N9/EFI08Z, DR-NTU (Data), V1 Case description (anonymised) and sequence diagram for 16 cases used in the paper titled "Technology Spin-offs from Universities: Strategic Mechanisms to Navigate the Problem and Solution Space"
Boh Wai Fong(Nanyang Technological University) Mar 5, 2020Nanyang Business School (NBS) Research topics: • Knowledge and information management • Innovation Management & Entrepreneurship
Wai Kin Adams KONG(Nanyang Technological University) Mar 3, 2020College of Computing and Data Science (CCDS) Research topics: • Pattern recognition • Image processing • Biometric security
Wen Yonggang(Nanyang Technological University) Mar 3, 2020College of Computing and Data Science (CCDS) Research topics: • Cloud Computing and Green Data Centre • Multimedia Computing and Communications • Machine Learning Systems and Applications
Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers", https://doi.org/10.21979/N9/MWVFNO, DR-NTU (Data), V1, UNF:6:GTgHLjDPINshZKfoch7QwQ== [fileUNF] This dataset contains partial program source code and the data for analysis for the paper "A Low-power Reliability Enhanced Arbiter Physical Unclonable Function"
Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection", https://doi.org/10.21979/N9/WCIL7X, DR-NTU (Data), V1 This dataset contains the program source code, model file and experimental data for analysis of the paper "Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection"
Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs", https://doi.org/10.21979/N9/YPY0EB, DR-NTU (Data), V1 This dataset contains model file, program source code and the experimental data for the analysis of the paper " Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs".
Uncertainties of Glacial Isostatic Adjustment model predictions in North America associated with 3D structure Feb 28, 2020 - LI Tanghua Li, Tanghua, 2020, "Uncertainties of Glacial Isostatic Adjustment model predictions in North America associated with 3D structure", https://doi.org/10.21979/N9/26AY8H, DR-NTU (Data), V1 The mean GIA signals of RSL, u-dot and g-dot with 1σ, 2σ and 3σ uncertainties in North America.
LI Tanghua(Nanyang Technological University) Feb 28, 2020Earth Observatory of Singapore (EOS)

James B Ang(Nanyang Technological University)

Mar 10, 2020School of Social Sciences (SSS)

Research topics: • Long-Run Comparative Development • Culture and Economics

Case Descriptions and Sequence Diagrams for "Technology Spin-offs from Universities: Strategic Mechanisms to Navigate the Problem and Solution Space"

Mar 5, 2020 - Boh Wai Fong

Boh, Wai Fong, 2020, "Case Descriptions and Sequence Diagrams for "Technology Spin-offs from Universities: Strategic Mechanisms to Navigate the Problem and Solution Space"", https://doi.org/10.21979/N9/EFI08Z, DR-NTU (Data), V1

Case description (anonymised) and sequence diagram for 16 cases used in the paper titled "Technology Spin-offs from Universities: Strategic Mechanisms to Navigate the Problem and Solution Space"

Boh Wai Fong(Nanyang Technological University)

Mar 5, 2020Nanyang Business School (NBS)

Research topics: • Knowledge and information management • Innovation Management & Entrepreneurship

Wai Kin Adams KONG(Nanyang Technological University)

Mar 3, 2020College of Computing and Data Science (CCDS)

Research topics: • Pattern recognition • Image processing • Biometric security

Wen Yonggang(Nanyang Technological University)

Mar 3, 2020College of Computing and Data Science (CCDS)

Research topics: • Cloud Computing and Green Data Centre • Multimedia Computing and Communications • Machine Learning Systems and Applications

Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers", https://doi.org/10.21979/N9/MWVFNO, DR-NTU (Data), V1, UNF:6:GTgHLjDPINshZKfoch7QwQ== [fileUNF]

This dataset contains partial program source code and the data for analysis for the paper "A Low-power Reliability Enhanced Arbiter Physical Unclonable Function"

Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection", https://doi.org/10.21979/N9/WCIL7X, DR-NTU (Data), V1

This dataset contains the program source code, model file and experimental data for analysis of the paper "Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection"

Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs", https://doi.org/10.21979/N9/YPY0EB, DR-NTU (Data), V1

This dataset contains model file, program source code and the experimental data for the analysis of the paper " Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs".

Uncertainties of Glacial Isostatic Adjustment model predictions in North America associated with 3D structure

Feb 28, 2020 - LI Tanghua

Li, Tanghua, 2020, "Uncertainties of Glacial Isostatic Adjustment model predictions in North America associated with 3D structure", https://doi.org/10.21979/N9/26AY8H, DR-NTU (Data), V1

The mean GIA signals of RSL, u-dot and g-dot with 1σ, 2σ and 3σ uncertainties in North America.

LI Tanghua(Nanyang Technological University)

Feb 28, 2020Earth Observatory of Singapore (EOS)

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