Area of Interest:

Computer Sciences

100%

Machine Learning

62%

Image Processing

90%

Classification

75%

Pattern Recognition

55%

Research Publications in Numbers

Books
0

Chapters
2

Articles
3

Abstracts
7

Selected Publications

Tawfik, M., S. Nimbhore, N.M. Al-Zidi, Z.A.T. Ahmed and A. M. Almadani, 2022. Multi-features extraction for automating Covid-19 Detection from cough sound using deep neural networks. 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), January 20-22, 2022, IEEE pp: 944-950.
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Al-Madani, A.M., A.T. Gaikwad, Z.A.T. Ahmed, V. Mahale, S.N. Alsubari and M. Tawfik, 2022. Web Application Based on Deep Learning for Detecting COVID-19 Using Chest X-Ray Images. In: Telemedicine: The Computer Transformation of Healthcare, Choudhury, T., A. Katal, J.S. Um, A. Rana and M. Al-Akaidi, (eds.)., Springer International Publishing ISBN: 978-3-030-99457-0 pp: 283–294.
CrossRef | Direct Link |
Ahmed, Z.A.T., T.H.H. Aldhyani, M.E. Jadhav, M.Y. Alzahrani and M.E. Alzahrani, et al., 2022. Facial features detection system To identify children with autism spectrum disorder: Deep learning models. Comput. Math. Methods Med., 10.1155/2022/3941049.
CrossRef | Direct Link |
Shareef, A.A.A., P.L. Yannawar, Z.A.T. Ahmed and A.M. Al-madani, 2021. Applying blockchain technology to secure object detection data. 3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), February 04-06, 2021, IEEE pp: 874-879.
CrossRef | Direct Link |
Alsellami, B., P.D. Deshmukh, Z.A.T. Ahmed, M. Tawfik and A.M. Al-madani, 2021. Overview of biometric traits. 3rd International Conference on Inventive Research in Computing Applications (ICIRCA), September 02-04, 2021, IEEE pp: 807-813.
CrossRef | Direct Link |
Al-madani, A.M., A.T. Gaikwad, V. Mahale, Z.A.T. Ahmed and A A.A. Shareef, 2021. Real-time driver drowsiness detection based on eye movement and yawning using facial landmark. International Conference on Computer Communication and Informatics (ICCCI), January 27-29, 2021, IEEE pp: 1-4.
CrossRef | Direct Link |
Al-madani, A.M., A.T. Gaikwad, V. Mahale and Z.A.T. Ahmed, 2021. Real-time driver drowsiness detection based on eye movement and yawning using facial landmark. International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC), October 30-31, 2020, IEEE pp: 176-180.
CrossRef | Direct Link |
Ahmed, Z.A.T., M.E. Jadhav, A.M. Al-madani, M. Tawfik, S.N. Alsubari and A.A.A. Shareef, 2021. Real-time detection of student engagement: Deep learning-based system. International Conference on Innovative Computing and Communications, August 18, 2021, Springer Singapore pp: 313-323.
CrossRef | Direct Link |
Ahmed, Z.A.T., M.E. Jadhav, A.M. Al-madani, M. Tawfik, S.N. Alsubari and A.A.A. Shareef, 2021. Real-Time Detection of Student Engagement: Deep Learning-Based System. In: International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing. Khanna, A., D. Gupta, S. Bhattacharyya, A.E. Hassanien, S. Anand and A. Jaiswal, (eds), Springer Singapore pp: 313–323.
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Tawfik, M., A. Almadani and A.A. Alharbi, 2020. A rreview: The risks and weakness security on the IoT. IOSR J. Comput. Eng., 10.2139/ssrn.3558835.
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Al-madani A.M. and A.T. Gaikwad, 2020. IoT data security via blockchain technology and service-centric networking. International Conference on Inventive Computation Technologies (ICICT), February 26-28, 2020, IEEE pp: 17-21.
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