Face recognition-based real-time system for surveillance. - Fahad Parvez Mahdi; Md. Mahmudul Habib; Md. Atiqur Rahman Ahad; Susan McKeever; A. S. M. Moslehuddin; Pandian Vasant (Intell. Decis. Technol., 2017)

Quantum Particle Swarm Optimization for Multilevel Thresholding-Based Image Segmentation on Dental X-Ray Images. - Fahad Parvez Mahdi; Syoji Kobashi (SCIS&ISIS, 2018)

A Quantification Approach of Uterine Peristalsis Propagated From the Cervix and the Fundus. - Naziah Tasnim; Fahad Parvez Mahdi; Saadia Binte Alam; Naomi Yagi; Akira Nakashima; Isamu Komesu; Yoshimitsu Tokunaga; Tetsuro Sakumoto; Syoji Kobashi (ICMLC, 2019)

Quantum-behaved bat algorithm for many-objective combined economic emission dispatch problem using cubic criterion function. - Fahad Parvez Mahdi; Pandian Vasant; Mohammad Abdullah-Al-Wadud; Vish Kallimani; Junzo Watada (Neural Comput. Appl., 2019)

Automatic Teeth Recognition in Dental X-Ray Images Using Transfer Learning Based Faster R-CNN. - Fahad Parvez Mahdi; Naomi Yagi; Syoji Kobashi (ISMVL, 2020)

Automatic Teeth Recognition Method from Dental Panoramic Images Using Faster R-CNN and Prior Knowledge Model. - Kota Motoki; Fahad Parvez Mahdi; Naomi Yagi; Manabu Nii; Syoji Kobashi (SCIS/ISIS, 2020)

Quantum-Behaved Bat Algorithm for Solving the Economic Load Dispatch Problem Considering a Valve-Point Effect. - Pandian Vasant; Fahad Parvez Mahdi; Jose Antonio Marmolejo Saucedo; Igor S. Litvinchev; Román Rodríguez-Aguilar; Junzo Watada (Int. J. Appl. Metaheuristic Comput., 2020)

Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models. - Ze Jin; Maolin Pang; Yuqiao Yang; Fahad Parvez Mahdi; Tianyi Qu; Ren Sasage; Kenji Suzuki 001 (MICCAI (2), 2023)

Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks. - Xu Lei 003; Fahad Parvez Mahdi; Ze Jin; Hao Sun; Yoshiyuki Noguchi; Masayuki Murata; Kenji Suzuki 001 (Digital and Computational Pathology, 2023)