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Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature., , , and . J. Comput. Sci., (2017)Bio-inspired robotics enabled schemes in blockchain-fog-cloud assisted IoMT environment., , , and . J. King Saud Univ. Comput. Inf. Sci., 35 (1): 1-12 (January 2023)Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images., , , , , and . Comput. Electr. Eng., (2018)A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues., , , , , , , and . IEEE Access, (2019)Analysis of Dense Descriptors in 3D Face Recognition., , , , and . ICSET, page 171-176. IEEE, (2021)Solving vehicle routing problem by using improved genetic algorithm for optimal solution., , , , , and . J. Comput. Sci., (2017)Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma., , , , and . J. Comput. Sci., (2017)Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach., , , , and . J. Comput. Sci., (2017)K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor., , , , , , and . Soft Comput., 23 (19): 9083-9096 (2019)Facial Expression Recognition Using Aggregated Handcrafted Descriptors based Appearance Method., , , and . ICSET, page 177-182. IEEE, (2021)