College of Computing and Data Science (CCDS)

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4,601 to 4,610 of 4,811 Results

HeLaS3_quantileExp_featureMatrix_log.txt Apr 1, 2021 - Transcription and Exon datasets for GM12878,HeLaS3, and K562 Plain Text - 56.2 MB - MD5: 4159e915c5cb42b54e32c49dc23e356a
K562_exonFeatureMatrix_sampleOneExonPerID_quantileCoeff.txt Apr 1, 2021 - Transcription and Exon datasets for GM12878,HeLaS3, and K562 Plain Text - 116.5 MB - MD5: dd409fde2f6a90f5ef064995ecc6d0fd
K562_quantileExp_featureMatrix_log.txt Apr 1, 2021 - Transcription and Exon datasets for GM12878,HeLaS3, and K562 Plain Text - 56.6 MB - MD5: 47157a3d488e669944f1caca8a77cf92
Zhang Yu (Nanyang Technological University) Apr 1, 2021 The datasets used in "Chromatin loop anchors predict exon usage"
PhyAug(Nanyang Technological University) Mar 31, 2021Tan Rui The link to code: https://github.com/jiegev5/PhyAug
Tan Rui(Nanyang Technological University) Mar 31, 2021 Research topics: • Resilient CPS/IoT system functions (e.g., timing, synchronization, location, etc) • Low-power wide area networks • Thermal and energy control in data centers • Deep learning for sensing For more information, visit webpage
gap8.zip Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices ZIP Archive - 1.2 GB - MD5: ce4fc478984c26ed80a6c83abfb1bd8c Code The_GAP8_SDK that contains the compiler and source codes
ICPADS 2020 XOR-Net Latex.zip Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices ZIP Archive - 2.0 MB - MD5: 851043007b84fd2c2599ebd2485c71e1 Documentation The latex folder of the paper
ICPADS_2020_XOR-Net_PPT.pdf Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Adobe PDF - 2.3 MB - MD5: 4a934600b747084740524d91df1c1909 Documentation The PPT for the conference
XOR-Net Performance Summary 2020-7-22.tab Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Tabular Data - 19.2 KB - 17 Variables, 149 Observations - UNF:6:VrCPbjap40q9aQlCjvdQBA== Data The performance of XOR-Net and competing methods.

HeLaS3_quantileExp_featureMatrix_log.txt

Apr 1, 2021 - Transcription and Exon datasets for GM12878,HeLaS3, and K562

Plain Text - 56.2 MB -

K562_exonFeatureMatrix_sampleOneExonPerID_quantileCoeff.txt

Apr 1, 2021 - Transcription and Exon datasets for GM12878,HeLaS3, and K562

Plain Text - 116.5 MB -

K562_quantileExp_featureMatrix_log.txt

Apr 1, 2021 - Transcription and Exon datasets for GM12878,HeLaS3, and K562

Plain Text - 56.6 MB -

Zhang Yu (Nanyang Technological University)

Apr 1, 2021

The datasets used in "Chromatin loop anchors predict exon usage"

PhyAug(Nanyang Technological University)

Mar 31, 2021Tan Rui

The link to code: https://github.com/jiegev5/PhyAug

Tan Rui(Nanyang Technological University)

Mar 31, 2021

Research topics: • Resilient CPS/IoT system functions (e.g., timing, synchronization, location, etc) • Low-power wide area networks • Thermal and energy control in data centers • Deep learning for sensing For more information, visit webpage

gap8.zip

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

ZIP Archive - 1.2 GB -

Code

The_GAP8_SDK that contains the compiler and source codes

ICPADS 2020 XOR-Net Latex.zip

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

ZIP Archive - 2.0 MB -

Documentation

The latex folder of the paper

ICPADS_2020_XOR-Net_PPT.pdf

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices