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Disambiguation of "Khan, Muhammad Attique"

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A Machine Learning Method with Threshold Based Parallel Feature Fusion and Feature Selection for Automated Gait Recognition.

, , , , , and . J. Organ. End User Comput., 32 (2): 67-92 (2020)

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Muhammad Yunus Khan

Nur Muhammad Khan

Muhammad Asadullah Khan

Muhammad Rahatullah Khan

Muhammad Amir Khan

 

Other publications of authors with the same name

An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection., , , , , and . Neural Comput. Appl., 32 (20): 15929-15948 (2020)Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images., , , , , and . J. Exp. Theor. Artif. Intell., 33 (4): 577-599 (2021)Federated learning based nonlinear two-stage framework for full-reference image quality assessment: An application for biometric., , , , , , , , and . Image Vis. Comput., (2022)Traffic sign recognition using proposed lightweight twig-net with linear discriminant classifier for biometric application., , , , , and . Image Vis. Comput., (2023)Time series forecasting of COVID-19 transmission in Asia Pacific countries using deep neural networks., , , , , , and . Pers. Ubiquitous Comput., 27 (3): 733-750 (2023)Gastrointestinal diseases segmentation and classification based on duo-deep architectures., , , , , , and . Pattern Recognit. Lett., (2020)Person re-identification using adversarial haze attack and defense: A deep learning framework., , , , , , , and . Comput. Electr. Eng., 96 (Part): 107542 (2021)Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine., , , , , , and . Comput. Electr. Eng., (2021)A review on federated learning towards image processing., , , , , and . Comput. Electr. Eng., (2022)A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases., , , , , and . EURASIP J. Image Video Process., 2021 (1): 14 (2021)