Deep convolutional neural networks for chest diseases detection RH Abiyev, MKS Ma'aitaH Journal of healthcare engineering 2018, 2018 | 343 | 2018 |
Intelligent classification of liver disorder using fuzzy neural system MKS Ma’aitah, R Abiyev, IJ Bush International Journal of Advanced Computer Science and Applications 8 (12 …, 2017 | 40 | 2017 |
Integrated artificial intelligence algorithm for skin detection IJ Bush, R Abiyev, MKS Ma’aitah, H Altıparmak ITM Web of conferences 16, 02004, 2018 | 35 | 2018 |
Gaze prediction based on convolutional neural network A Helwan, MKS Ma’aitah, S Uzelaltinbulat, MZ Altobel, M Darwish International conference on emerging technologies and intelligent systems …, 2021 | 26 | 2021 |
Intelligent Machine Learning Algorithms for Colour Segmentation MKM Idoko John Bush, Rahib Abiyev WSEAS TRANSACTIONS ON SIGNAL PROCESSING 13, 2017 | 24 | 2017 |
Radiologists versus deep convolutional neural networks: a comparative study for diagnosing COVID-19 A Helwan, MKS Ma’aitah, H Hamdan, DU Ozsahin, O Tuncyurek Computational and Mathematical Methods in Medicine 2021, 1-9, 2021 | 22 | 2021 |
Deep learning based on residual networks for automatic sorting of bananas A Helwan, MK Sallam Ma’aitah, RH Abiyev, S Uzelaltinbulat, B Sonyel Journal of Food Quality 2021, 1-11, 2021 | 18 | 2021 |
An online survey and review about the awareness, coping style, and exercise behavior during the “COVID-19 pandemic situation” by implementing the cloud-based medical treatment … C Ma, L Ma, A Helwan, MKS Ma’aitah, SA Jami, SA Mobarak, NK Das, ... Science Progress 104 (2), 00368504211000889, 2021 | 11 | 2021 |
Fuzzy logic traffic lights control (FLTLC) RH Abiyev, M Ma'aitah, B Sonyel Proceedings of the 9th International Conference on Education Technology and …, 2017 | 7 | 2017 |
Stacked autoencoders deep learning approach for left ventricular localization in magnetic resonance slices A Helwan, MKS Ma’aitah, S Uzelaltinbulat, B Sonyel, MZZ Altobel, ... International Conference on Emerging Technologies and Intelligent Systems …, 2021 | 3 | 2021 |
Machine learning for better understanding of autistics A Helwan, M Menekay, MKS Ma’aitah International conference on theory and applications of fuzzy systems and …, 2020 | 2 | 2020 |
Machine learning in automated chest radiographs classification A Helwan, MKS Ma’aitah International conference on theory and applications of fuzzy systems and …, 2020 | 2 | 2020 |
Applying expert system for bank credit authorization using fuzzy tools M Menekay, MKS Ma'aitah Proceedings of the 9th International Conference on Education Technology and …, 2017 | 2 | 2017 |
Conventional and deep learning methods in heart rate estimation from RGB face videos A Helwan, D Azar, MKS Ma’aitah Physiological Measurement 45 (2), 02TR01, 2024 | 1 | 2024 |
Research Article Deep Convolutional Neural Networks for Chest Diseases Detection RH Abiyev, MKS Ma’aitah | 1 | 2018 |
Comparison of Three Machine Learning Models for the Detection of Emails Spam SA Khattab, RN Alkaied, MKS Ma'aitah | | 2023 |
Medical Application of Deep Learning-Based Detection on Malignant Melanoma A Helwan, MKS Ma’aitah International Conference on Emerging Technologies and Intelligent Systems …, 2022 | | 2022 |
Conceal Data in Digital Image Processing by using Steganography MKS Ma’aitah, K Dimililer | | 2018 |
Students' Experiences and Perceptions on Online Collaborative Learning B Sonyel, MKS Maaitah International Conference on Education and e-Learning (EeL). Proceedings, 97, 2017 | | 2017 |
Gaming for the purpose of education: A review of publications in selected journals from 2010-2015 MKSM Bengi Sonyel 8th International Conference on Psychology, Language and Teaching (ICPLT), 2016 | | 2016 |