Majed Mohammed Aborokbah - researchr alias

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Viewing Publication 1 - 5 from 5

2023

Breast cancer classification using Deep Q Learning (DQL) and gorilla troops optimization (GTO)Saad Almutairi, Manimurugan Shanmuganathan, Byung-Gyu Kim, Majed Mohammed Aborokbah, C. Narmatha. asc, 142:110292, 2023. [doi]

An Efficient USE-Net Deep Learning Model for Cancer DetectionSaad Almutairi, Manimurugan Shanmuganathan, Majed Mohammed Aborokbah, C. Narmatha, Subramaniam Ganesan, P. Karthikeyan 0004. ijis, 2023:1-14, 2023. [doi]

2022

Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial IntelligenceManimurugan Shanmuganathan, Saad Almutairi, Majed Mohammed Aborokbah, C. Narmatha, Subramaniam Ganesan, Naveen K. Chilamkurti, Riyadh A. Alzaheb, Hani Almoamari. sensors, 22(2):476, 2022. [doi]

2020

Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural NetworkS. Manimurugan, Saad Almutairi, Majed Mohammed Aborokbah, Naveen Chilamkurti, Subramaniam Ganesan, Rizwan Patan. access, 8:77396-77404, 2020. [doi]

Review of advanced computational approaches on multiple sclerosis segmentation and classificationManimurugan Shanmuganathan, Saad Almutairi, Majed Mohammed Aborokbah, Subramaniam Ganesan, Varatharajan Ramachandran. iet-spr, 14(6):333-341, 2020. [doi]

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