Items where Author is "Fati, S.M."

Ali, R.F. and Muneer, A. and Almaghthawi, A. and Alghamdi, A. and Fati, S.M. and Ghaleb, E.A.A. (2023) BMSP-ML: big mart sales prediction using different machine learning techniques. IAES International Journal of Artificial Intelligence, 12 (2). pp. 874-883. ISSN 20894872

Naseer, S. and Ali, R.F. and Fati, S.M. and Muneer, A. (2022) Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning. Scientific Reports, 12 (1).

Naseer, S. and Ali, R.F. and Fati, S.M. and Muneer, A. (2022) Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning. Scientific Reports, 12 (1).

Naseer, S. and Ali, R.F. and Fati, S.M. and Muneer, A. (2022) Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning. Scientific Reports, 12 (1).

Naseer, S. and Ali, R.F. and Fati, S.M. and Muneer, A. (2022) Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning. Scientific Reports, 12 (1).

Muneer, A. and Taib, S.M. and Fati, S.M. and Balogun, A.O. and Aziz, I.A. (2022) A hybrid deep learning-based unsupervised anomaly detection in high dimensional data. Computers, Materials and Continua, 70 (3). pp. 6073-6088.

Naseer, S. and Fati, S.M. and Muneer, A. and Ali, R.F. (2022) iAceS-Deep: Sequence-Based Identification of Acetyl Serine Sites in Proteins Using PseAAC and Deep Neural Representations. IEEE Access, 10. pp. 12953-12965.

Alshahri, S.S. and Muneer, A. and Fati, S.M. (2021) Design and Implementation of Guidance System for Visually Impaired People. In: UNSPECIFIED.

Naseer, S. and Ali, R.F. and Fati, S.M. and Muneer, A. (2021) INitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning. IEEE Access, 9. pp. 73624-73640.

Naseer, S. and Ali, R.F. and Muneer, A. and Fati, S.M. (2021) Iamidev-deep: Valine amidation site prediction in proteins using deep learning and pseudo amino acid compositions. Symmetry, 13 (4).

Al-Ghobari, M. and Muneer, A. and Fati, S.M. (2021) Location-aware personalized traveler recommender system (lapta) using collaborative filtering knn. Computers, Materials and Continua, 69 (2). pp. 1553-1570.

Al-Ghobari, M. and Muneer, A. and Fati, S.M. (2021) Location-aware personalized traveler recommender system (lapta) using collaborative filtering knn. Computers, Materials and Continua, 69 (2). pp. 1553-1570.

Muneer, A. and Ali, R.F. and Al-Sharai, A.A. and Fati, S.M. (2021) A Survey on Phishing Emails Detection Techniques. In: UNSPECIFIED.

Muneer, A. and Fati, S.M. and Arifin Akbar, N. and Agustriawan, D. and Tri Wahyudi, S. (2021) iVaccine-Deep: Prediction of COVID-19 mRNA vaccine degradation using deep learning. Journal of King Saud University - Computer and Information Sciences.

Muneer, A. and Fati, S.M. (2020) Efficient and automated herbs classification approach based on shape and texture features using deep learning. IEEE Access, 8. pp. 196747-196764.

Jaradat, A. and Alhussian, H. and Patel, A. and Fati, S.M. (2020) Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach. Computer Standards and Interfaces, 71.

Muneer, A. and Fati, S.M. (2020) A comparative analysis of machine learning techniques for cyberbullying detection on twitter. Future Internet, 12 (11). pp. 1-21.