Mr. Ali Mansour Almadani
ResearcherDepartment of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India
Highest Degree
Ph.D. Student in Computer Science and Information Technology from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India
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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.
CrossRef | Direct Link | - 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.
CrossRef | Direct Link | - 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.
CrossRef | Direct Link | - 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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