KWOH Chee Keong

Appointment: Associate Professor

Research topics:

• Machine Learning and Statistical Inference
• Learning with Unlabeled Data
• Meta and Ensemble learning
• Ontology for Knowledge Representation

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21 to 30 of 879 Results

F.pt Apr 3, 2023 - CWRU Domain Generalization Version Unknown - 62.5 MB - MD5: a64ed698a6b973f3463e8799033ffefe
G.pt Apr 3, 2023 - CWRU Domain Generalization Version Unknown - 62.5 MB - MD5: d3c4003f50e726112c9245343f5172b5
H.pt Apr 3, 2023 - CWRU Domain Generalization Version Unknown - 62.5 MB - MD5: 790658b570c1ac8afcb8bf9d075c0ba5
Machine Fault Diagnosis Dec 30, 2022 - ADATIME Ragab, Mohamed, 2022, "Machine Fault Diagnosis", https://doi.org/10.21979/N9/PU85XN, DR-NTU (Data), V1 The dataset consists of sensor readings from bearing machines under four different operating conditions. Each of these conditions has three classes: healthy, inner-bearing damage, and outer-bearing damage. The operating conditions refer to different values for rotational speed, l...
test_0.pt Dec 30, 2022 - Machine Fault Diagnosis Unknown - 35.2 MB - MD5: 71fc74df0af8ab60b47ab2a08ca7526c
test_1.pt Dec 30, 2022 - Machine Fault Diagnosis Unknown - 35.2 MB - MD5: 3763ea8f3afd63bedc0bd4ad7ae673b2
test_2.pt Dec 30, 2022 - Machine Fault Diagnosis Unknown - 35.2 MB - MD5: 429f8533deae5d643cd08677d5ec1cd1
test_3.pt Dec 30, 2022 - Machine Fault Diagnosis Unknown - 35.2 MB - MD5: b19b49dfe32adef8366cb1b6536ac429
train_0.pt Dec 30, 2022 - Machine Fault Diagnosis Unknown - 71.4 MB - MD5: 1c4af4b75643b5f766f396040ea1d5f9
train_1.pt Dec 30, 2022 - Machine Fault Diagnosis Unknown - 71.4 MB - MD5: 69f08d30be855a8e41197f140ce042a4

F.pt

Apr 3, 2023 - CWRU Domain Generalization Version

Unknown - 62.5 MB -

G.pt

Apr 3, 2023 - CWRU Domain Generalization Version

Unknown - 62.5 MB -

H.pt

Apr 3, 2023 - CWRU Domain Generalization Version

Unknown - 62.5 MB -

Machine Fault Diagnosis

Dec 30, 2022 - ADATIME

Ragab, Mohamed, 2022, "Machine Fault Diagnosis", https://doi.org/10.21979/N9/PU85XN, DR-NTU (Data), V1

The dataset consists of sensor readings from bearing machines under four different operating conditions. Each of these conditions has three classes: healthy, inner-bearing damage, and outer-bearing damage. The operating conditions refer to different values for rotational speed, l...

test_0.pt