School of Electrical and Electronic Engineering (EEE)

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31 to 40 of 158 Results

Replication Data for: Strongly correlated multielectron bunches from interaction with quantum light Jun 6, 2024 - Suraj KUMAR Kumar, Suraj; Lim, Jeremy; Rivera, Nicholas; Wong, Wesley; Ang, Yee Sin; Ang, Lay Kee; Wong, Liang Jie, 2024, "Replication Data for: Strongly correlated multielectron bunches from interaction with quantum light", https://doi.org/10.21979/N9/UFN1SK, DR-NTU (Data), V3 Code Depository for reproducing results for paper: multi-electron bunches from interaction with quantum light
Replication Data for: "Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining" May 27, 2024 - Qi CUI Cui, Qi; Meng, Ruohan; Xu, Chaohui; Chang, Chip-Hong, 2024, "Replication Data for: "Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining"", https://doi.org/10.21979/N9/KUB3XV, DR-NTU (Data), V1 Implementation of CVPR 2024 paper "Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining"
The Nanoplasmonic Purcell Effect in Ultrafast and High-Light- Yield Perovskite Scintillators Apr 23, 2024 - YE Wenzheng Ye, Wenzheng, 2024, "The Nanoplasmonic Purcell Effect in Ultrafast and High-Light- Yield Perovskite Scintillators", https://doi.org/10.21979/N9/5KL7CJ, DR-NTU (Data), V2 Data for the journal paper (Advanced Materials): The Nanoplasmonic Purcell Effect in Ultrafast and High-Light- Yield Perovskite Scintillators
CMOS Terahertz Plasmonic Interconnect towards Tera-scale Computing Mar 29, 2024 - LIU Yufeng Liu, Yufeng, 2024, "CMOS Terahertz Plasmonic Interconnect towards Tera-scale Computing", https://doi.org/10.21979/N9/V25LAK, DR-NTU (Data), V1 This project seeks to solve several scientific and practical challenges that surface plasma presents for high-performance on-chip communication. With the knowledge gained, we aim to design a novel crosstalk-free all-surface-wave I/O transceiver using low-cost CMOS technologies in...
Replication Data for: Free-electron crystals for enhanced X-ray radiation Mar 26, 2024 - Wesley WONG Lee Wei Wesley, Wong, 2024, "Replication Data for: Free-electron crystals for enhanced X-ray radiation", https://doi.org/10.21979/N9/MTNOHR, DR-NTU (Data), V1 Mathematica codes to compute bremsstrahlung differential cross section
Next-Generation V2X Network Architecture and Ecosystem for Smart Mobility Feb 26, 2024 - Kaituo Yang Yang, Kaituo, 2024, "Next-Generation V2X Network Architecture and Ecosystem for Smart Mobility", https://doi.org/10.21979/N9/CVCALR, DR-NTU (Data), V2 Our project will develop a reconfigurable transceiver utilizing CMOS technology targeting the 5.9-GHz ISM band. This transceiver can be configured to be used for C-V2X and DSRC V2X networks, respectively. It consists of three main blocks: receiver front-end, transmitter front-end...
Related Data for: Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration" Feb 14, 2024 - Wenyang LIU Liu, Wenyang; Wang, Yi; Yap, Kim-Hui; Chau, Lap-Pui, 2024, "Related Data for: Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration"", https://doi.org/10.21979/N9/4CTXCI, DR-NTU (Data), V2 The dataset contains the original figures and related data for analyzing the paper "Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration".
Replication Data for: Highly stable ladder-type conjugated polymer based organic electrochemical transistors for low power and signal processing-free surface electromyogram triggered robotic hand control Jan 16, 2024 - ZHOU Zhongliang Zhou, Zhongliang, 2024, "Replication Data for: Highly stable ladder-type conjugated polymer based organic electrochemical transistors for low power and signal processing-free surface electromyogram triggered robotic hand control", https://doi.org/10.21979/N9/QSFINJ, DR-NTU (Data), V1 This dataset contains the data used for the article titled: Highly stable ladder-type conjugated polymer based organic electrochemical transistors for low power and signal processing-free surface electromyogram triggered robotic hand control, published in Advanced Functional Mate...
Mechanoreceptor-Inspired In-Ear Triboelectric Sensor for Unconstrained Physiological Monitoring and Human–Machine Interaction Jan 16, 2024 - HE Qiang He, Qiang, 2024, "Mechanoreceptor-Inspired In-Ear Triboelectric Sensor for Unconstrained Physiological Monitoring and Human–Machine Interaction", https://doi.org/10.21979/N9/BGURSG, DR-NTU (Data), V1 Corresponding data
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.

Replication Data for: Strongly correlated multielectron bunches from interaction with quantum light

Jun 6, 2024 - Suraj KUMAR

Kumar, Suraj; Lim, Jeremy; Rivera, Nicholas; Wong, Wesley; Ang, Yee Sin; Ang, Lay Kee; Wong, Liang Jie, 2024, "Replication Data for: Strongly correlated multielectron bunches from interaction with quantum light", https://doi.org/10.21979/N9/UFN1SK, DR-NTU (Data), V3

Code Depository for reproducing results for paper: multi-electron bunches from interaction with quantum light

Replication Data for: "Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining"

May 27, 2024 - Qi CUI

Cui, Qi; Meng, Ruohan; Xu, Chaohui; Chang, Chip-Hong, 2024, "Replication Data for: "Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining"", https://doi.org/10.21979/N9/KUB3XV, DR-NTU (Data), V1

Implementation of CVPR 2024 paper "Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining"

The Nanoplasmonic Purcell Effect in Ultrafast and High-Light- Yield Perovskite Scintillators

Apr 23, 2024 - YE Wenzheng

Ye, Wenzheng, 2024, "The Nanoplasmonic Purcell Effect in Ultrafast and High-Light- Yield Perovskite Scintillators", https://doi.org/10.21979/N9/5KL7CJ, DR-NTU (Data), V2

Data for the journal paper (Advanced Materials): The Nanoplasmonic Purcell Effect in Ultrafast and High-Light- Yield Perovskite Scintillators

CMOS Terahertz Plasmonic Interconnect towards Tera-scale Computing

Mar 29, 2024 - LIU Yufeng

Liu, Yufeng, 2024, "CMOS Terahertz Plasmonic Interconnect towards Tera-scale Computing", https://doi.org/10.21979/N9/V25LAK, DR-NTU (Data), V1

This project seeks to solve several scientific and practical challenges that surface plasma presents for high-performance on-chip communication. With the knowledge gained, we aim to design a novel crosstalk-free all-surface-wave I/O transceiver using low-cost CMOS technologies in...

Replication Data for: Free-electron crystals for enhanced X-ray radiation

Mar 26, 2024 - Wesley WONG

Lee Wei Wesley, Wong, 2024, "Replication Data for: Free-electron crystals for enhanced X-ray radiation", https://doi.org/10.21979/N9/MTNOHR, DR-NTU (Data), V1

Mathematica codes to compute bremsstrahlung differential cross section

Next-Generation V2X Network Architecture and Ecosystem for Smart Mobility

Feb 26, 2024 - Kaituo Yang

Yang, Kaituo, 2024, "Next-Generation V2X Network Architecture and Ecosystem for Smart Mobility", https://doi.org/10.21979/N9/CVCALR, DR-NTU (Data), V2

Our project will develop a reconfigurable transceiver utilizing CMOS technology targeting the 5.9-GHz ISM band. This transceiver can be configured to be used for C-V2X and DSRC V2X networks, respectively. It consists of three main blocks: receiver front-end, transmitter front-end...

Related Data for: Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration"

Feb 14, 2024 - Wenyang LIU

Liu, Wenyang; Wang, Yi; Yap, Kim-Hui; Chau, Lap-Pui, 2024, "Related Data for: Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration"", https://doi.org/10.21979/N9/4CTXCI, DR-NTU (Data), V2

The dataset contains the original figures and related data for analyzing the paper "Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration".

Replication Data for: Highly stable ladder-type conjugated polymer based organic electrochemical transistors for low power and signal processing-free surface electromyogram triggered robotic hand control

Jan 16, 2024 - ZHOU Zhongliang

Zhou, Zhongliang, 2024, "Replication Data for: Highly stable ladder-type conjugated polymer based organic electrochemical transistors for low power and signal processing-free surface electromyogram triggered robotic hand control", https://doi.org/10.21979/N9/QSFINJ, DR-NTU (Data), V1

This dataset contains the data used for the article titled: Highly stable ladder-type conjugated polymer based organic electrochemical transistors for low power and signal processing-free surface electromyogram triggered robotic hand control, published in Advanced Functional Mate...

Mechanoreceptor-Inspired In-Ear Triboelectric Sensor for Unconstrained Physiological Monitoring and Human–Machine Interaction

Jan 16, 2024 - HE Qiang

He, Qiang, 2024, "Mechanoreceptor-Inspired In-Ear Triboelectric Sensor for Unconstrained Physiological Monitoring and Human–Machine Interaction", https://doi.org/10.21979/N9/BGURSG, DR-NTU (Data), V1

Corresponding data

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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