School of Electrical and Electronic Engineering (EEE)

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211 to 220 of 262 Results

Replication Data for: Ionic-Liquid Doping Enables High Transconductance, Fast Response Time, and High Ion Sensitivity in Organic Electrochemical Transistors May 28, 2020 - WU Xihu Xihu Wu; Abhijith Surendran; Jieun Ko; Oliver Filonik; Eva M. Herzig; Peter Müller‐Buschbaum; Wei Lin Leong, 2020, "Replication Data for: Ionic-Liquid Doping Enables High Transconductance, Fast Response Time, and High Ion Sensitivity in Organic Electrochemical Transistors", https://doi.org/10.21979/N9/KFBGNX, DR-NTU (Data), V1 This dataset contain the raw data fo the publication.
WU Xihu(Nanyang Technological University) May 28, 2020Centre for Micro-/Nano -electronics (NOVITAS)
Replication Data for: Self-healable electrochromic ion gels for low power and robust displays May 24, 2020 - Leong Wei Lin Ko, Jieun; Surendran, Abhijith; Febriansyah, Benny; Leong, Wei Lin, 2020, "Replication Data for: Self-healable electrochromic ion gels for low power and robust displays", https://doi.org/10.21979/N9/BNEQXT, DR-NTU (Data), V1 This datasets contain the raw data of the publication.
Replication Data for: Water robustness of organic thin-film transistors based on pyrazino[2,3-g]quinoxaline-dione conjugated polymer May 24, 2020 - Leong Wei Lin Ko, Jieun; Ng, Chee Koon; Arramel; Wee, Andrew Thye Shen; Tam, Teck Lip Dexter; Leong, Wei Lin, 2020, "Replication Data for: Water robustness of organic thin-film transistors based on pyrazino[2,3-g]quinoxaline-dione conjugated polymer", https://doi.org/10.21979/N9/JVHKQQ, DR-NTU (Data), V1 This dataset contained part of the data which were obtained by NTU
Replication Data for: Non-volatile Organic Transistor Memory based on Black Phosphorus Quantum dots as Charge Trapping Layer May 23, 2020 - Leong Wei Lin Kumari, Priyanka; Ko, Jieun; Rao, Ramgopal; Mhaisalkar, Subodh; Leong, Wei Lin, 2020, "Replication Data for: Non-volatile Organic Transistor Memory based on Black Phosphorus Quantum dots as Charge Trapping Layer", https://doi.org/10.21979/N9/DEL6G7, DR-NTU (Data), V1, UNF:6:6ybWvdmiqydHgMjI8WbHMQ== [fileUNF] This datasets contain the raw data of the publication.
Leong Wei Lin(Nanyang Technological University) May 23, 2020 Research topics: • Organic and Molecular Electronics • Organic Electrochemical Transistors • ReRAM devices and physics • Interfaces and Surface Science • Printing processes for large-area and flexible electronics
Song Zhigang (Nanyang Technological University) Mar 20, 2020
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".

Replication Data for: Ionic-Liquid Doping Enables High Transconductance, Fast Response Time, and High Ion Sensitivity in Organic Electrochemical Transistors

May 28, 2020 - WU Xihu

Xihu Wu; Abhijith Surendran; Jieun Ko; Oliver Filonik; Eva M. Herzig; Peter Müller‐Buschbaum; Wei Lin Leong, 2020, "Replication Data for: Ionic-Liquid Doping Enables High Transconductance, Fast Response Time, and High Ion Sensitivity in Organic Electrochemical Transistors", https://doi.org/10.21979/N9/KFBGNX, DR-NTU (Data), V1

This dataset contain the raw data fo the publication.

WU Xihu(Nanyang Technological University)

May 28, 2020Centre for Micro-/Nano -electronics (NOVITAS)

Replication Data for: Self-healable electrochromic ion gels for low power and robust displays

May 24, 2020 - Leong Wei Lin

Ko, Jieun; Surendran, Abhijith; Febriansyah, Benny; Leong, Wei Lin, 2020, "Replication Data for: Self-healable electrochromic ion gels for low power and robust displays", https://doi.org/10.21979/N9/BNEQXT, DR-NTU (Data), V1

This datasets contain the raw data of the publication.

Replication Data for: Water robustness of organic thin-film transistors based on pyrazino[2,3-g]quinoxaline-dione conjugated polymer

May 24, 2020 - Leong Wei Lin

Ko, Jieun; Ng, Chee Koon; Arramel; Wee, Andrew Thye Shen; Tam, Teck Lip Dexter; Leong, Wei Lin, 2020, "Replication Data for: Water robustness of organic thin-film transistors based on pyrazino[2,3-g]quinoxaline-dione conjugated polymer", https://doi.org/10.21979/N9/JVHKQQ, DR-NTU (Data), V1

This dataset contained part of the data which were obtained by NTU

Replication Data for: Non-volatile Organic Transistor Memory based on Black Phosphorus Quantum dots as Charge Trapping Layer

May 23, 2020 - Leong Wei Lin

Kumari, Priyanka; Ko, Jieun; Rao, Ramgopal; Mhaisalkar, Subodh; Leong, Wei Lin, 2020, "Replication Data for: Non-volatile Organic Transistor Memory based on Black Phosphorus Quantum dots as Charge Trapping Layer", https://doi.org/10.21979/N9/DEL6G7, DR-NTU (Data), V1, UNF:6:6ybWvdmiqydHgMjI8WbHMQ== [fileUNF]

This datasets contain the raw data of the publication.

Leong Wei Lin(Nanyang Technological University)

May 23, 2020

Research topics: • Organic and Molecular Electronics • Organic Electrochemical Transistors • ReRAM devices and physics • Interfaces and Surface Science • Printing processes for large-area and flexible electronics

Song Zhigang (Nanyang Technological University)

Mar 20, 2020

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".

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