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Works by Zabin, Mahe

Results: 5

1

EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning, and Explainable AI.

Published in:

Machines, 2025, v. 13, n. 4, p. 314, doi. 10.3390/machines13040314

By:

Haque, Md. Ehsanul;
Zabin, Mahe;
Uddin, Jia

Publication type:

Article

2

Contrastive self-supervised representation learning framework for metal surface defect detection.

Published in:

Journal of Big Data, 2023, v. 10, n. 1, p. 1, doi. 10.1186/s40537-023-00827-z

By:

Zabin, Mahe;
Kabir, Anika Nahian Binte;
Kabir, Muhammad Khubayeeb;
Choi, Ho-Jin;
Uddin, Jia

Publication type:

Article

3

Implementation of Bayesian Techniques for Demodulation.

Published in:

International Journal on Internet & Distributed Computing Systems, 2011, v. 1, n. 2, p. 76

By:

Zabin, Mahe;
Uddin, Jia;
Appana, Dileep Kumar;
Saha, Susmita

Publication type:

Article

4

Machine Fault Diagnosis: Experiments with Different Attention Mechanisms Using a Lightweight SqueezeNet Architecture.

Published in:

Electronics (2079-9292), 2024, v. 13, n. 16, p. 3112, doi. 10.3390/electronics13163112

By:

Zabin, Mahe;
Choi, Ho-Jin;
Kabir, Muhammad Kubayeeb;
Kabir, Anika Nahian Binte;
Uddin, Jia

Publication type:

Article

5

Hybrid deep transfer learning architecture for industrial fault diagnosis using Hilbert transform and DCNN–LSTM.

Published in:

Journal of Supercomputing, 2023, v. 79, n. 5, p. 5181, doi. 10.1007/s11227-022-04830-8

By:

Zabin, Mahe;
Choi, Ho-Jin;
Uddin, Jia

Publication type:

Article