College of Computing and Data Science (CCDS)

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201 to 210 of 311 Results

Processed version of C-MAPSS dataset May 12, 2022 - KWOH Chee Keong Ragab, Mohamed, 2022, "Processed version of C-MAPSS dataset", https://doi.org/10.21979/N9/FMUP9M, DR-NTU (Data), V1 C-MAPSS is a simulated turbofan engine dataset that consists of four data subsets with different operating conditions and fault modes denoted as FD001, FD002, FD003, and FD004.
Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations May 12, 2022 - Zhu Shien Zhu, Shien; Li, Shiqing; Liu, Weichen, 2022, "Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations", https://doi.org/10.21979/N9/JNFW9P, DR-NTU (Data), V2, UNF:6:L3+xW/BxBE6fYNWBm4ta6Q== [fileUNF] The simulation code, experiment results, and graphs used in the GLSVLSI 2022 paper: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations
Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic May 11, 2022 - Anwitaman Datta Sharma, Shakshi; Sharma, Rajesh; Datta, Anwitaman, 2022, "Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic", https://doi.org/10.21979/N9/QMLIJQ, DR-NTU (Data), V1 Two files are provided. Each contain Tweet ID, Label pairs. Label 1 indicates misleading tweets, while label 0 is used otherwise. One file contains 1500 manually annotated entries, while the other contains 114,635 where the labels are predicted algorithmically (see accompanying p...
Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge May 10, 2022 - Zhu Shien Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2022, "Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge", https://doi.org/10.21979/N9/RZ75BY, DR-NTU (Data), V1, UNF:6:Md7is6scgmHZ4O3PtUuAOg== [fileUNF] The TAB experiment code running on ARM CPU, x86 CPU, and Nvidia GPU.
Related data for GLIMG: Global and local item graphs for top-N recommender systems Apr 23, 2022 - Lin Zhuoyi Lin, Zhuoyi, 2022, "Related data for GLIMG: Global and local item graphs for top-N recommender systems", https://doi.org/10.21979/N9/NRRVDW, DR-NTU (Data), V2 GLIMG: Global and local item graphs for top-N recommender systems
Related Data for COMET: Convolutional Dimension Interaction for Collaborative Filtering Apr 23, 2022 - Lin Zhuoyi Lin, Zhuoyi, 2022, "Related Data for COMET: Convolutional Dimension Interaction for Collaborative Filtering", https://doi.org/10.21979/N9/TO2HBX, DR-NTU (Data), V2 Latent factor models play a dominant role among recommendation techniques. However, most of the existing latent factor models assume both historical interactions and embedding dimensions are independent of each other, and thus regrettably ignore the high-order interaction informa...
Lin Zhuoyi(Nanyang Technological University) Apr 17, 2022KWOH Chee Keong
Model files for fusedchat Apr 7, 2022 - Tom Young Young, Tom, 2022, "Model files for fusedchat", https://doi.org/10.21979/N9/QWEBOS, DR-NTU (Data), V3 Model files for fusedchat
Related data for:Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs Mar 26, 2022 - LI Shiqing Li, Shiqing; Liu, Weichen, 2022, "Related data for:Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs", https://doi.org/10.21979/N9/ATEYFB, DR-NTU (Data), V1 This dataset is related to our ICCAD work "Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs".
LIU Weichen(Nanyang Technological University) Mar 21, 2022 Research topics: • Embedded and Real-Time Systems • Many-Core Systems • Electronic/Photonic Network-on-Chip • Machine Learning Acceleration • Computer Architecture

Processed version of C-MAPSS dataset

May 12, 2022 - KWOH Chee Keong

Ragab, Mohamed, 2022, "Processed version of C-MAPSS dataset", https://doi.org/10.21979/N9/FMUP9M, DR-NTU (Data), V1

C-MAPSS is a simulated turbofan engine dataset that consists of four data subsets with different operating conditions and fault modes denoted as FD001, FD002, FD003, and FD004.

Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

May 12, 2022 - Zhu Shien

Zhu, Shien; Li, Shiqing; Liu, Weichen, 2022, "Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations", https://doi.org/10.21979/N9/JNFW9P, DR-NTU (Data), V2, UNF:6:L3+xW/BxBE6fYNWBm4ta6Q== [fileUNF]

The simulation code, experiment results, and graphs used in the GLSVLSI 2022 paper: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic

May 11, 2022 - Anwitaman Datta

Sharma, Shakshi; Sharma, Rajesh; Datta, Anwitaman, 2022, "Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic", https://doi.org/10.21979/N9/QMLIJQ, DR-NTU (Data), V1

Two files are provided. Each contain Tweet ID, Label pairs. Label 1 indicates misleading tweets, while label 0 is used otherwise. One file contains 1500 manually annotated entries, while the other contains 114,635 where the labels are predicted algorithmically (see accompanying p...

Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge

May 10, 2022 - Zhu Shien

Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2022, "Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge", https://doi.org/10.21979/N9/RZ75BY, DR-NTU (Data), V1, UNF:6:Md7is6scgmHZ4O3PtUuAOg== [fileUNF]

The TAB experiment code running on ARM CPU, x86 CPU, and Nvidia GPU.

Related data for GLIMG: Global and local item graphs for top-N recommender systems

Apr 23, 2022 - Lin Zhuoyi

Lin, Zhuoyi, 2022, "Related data for GLIMG: Global and local item graphs for top-N recommender systems", https://doi.org/10.21979/N9/NRRVDW, DR-NTU (Data), V2

GLIMG: Global and local item graphs for top-N recommender systems

Related Data for COMET: Convolutional Dimension Interaction for Collaborative Filtering

Apr 23, 2022 - Lin Zhuoyi

Lin, Zhuoyi, 2022, "Related Data for COMET: Convolutional Dimension Interaction for Collaborative Filtering", https://doi.org/10.21979/N9/TO2HBX, DR-NTU (Data), V2

Latent factor models play a dominant role among recommendation techniques. However, most of the existing latent factor models assume both historical interactions and embedding dimensions are independent of each other, and thus regrettably ignore the high-order interaction informa...

Lin Zhuoyi(Nanyang Technological University)

Apr 17, 2022KWOH Chee Keong

Model files for fusedchat

Apr 7, 2022 - Tom Young

Young, Tom, 2022, "Model files for fusedchat", https://doi.org/10.21979/N9/QWEBOS, DR-NTU (Data), V3

Model files for fusedchat

Related data for:Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs

Mar 26, 2022 - LI Shiqing

Li, Shiqing; Liu, Weichen, 2022, "Related data for:Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs", https://doi.org/10.21979/N9/ATEYFB, DR-NTU (Data), V1

This dataset is related to our ICCAD work "Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs".

LIU Weichen(Nanyang Technological University)

Mar 21, 2022

Research topics: • Embedded and Real-Time Systems • Many-Core Systems • Electronic/Photonic Network-on-Chip • Machine Learning Acceleration • Computer Architecture

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