Khan, Z.A. and Aziz, I.A. and Osman, N.A.B. and Ullah, I. (2023) A Review on Task Scheduling Techniques in Cloud and Fog Computing: Taxonomy, Tools, Open Issues, Challenges, and Future Directions. IEEE Access, 11. pp. 143417-143445.

Ullah, I. and Fayaz, M. and Aman, M. and Kim, D. (2022) Toward Autonomous Farming - A Novel Scheme Based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control. IEEE Internet of Things Journal, 9 (24). pp. 25300-25323. ISSN 23274662

Aman, M. and Abdulkadir, S.J. and Aziz, I.A. and Alhussian, H. and Ullah, I. (2021) KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data. Multimedia Tools and Applications, 80 (8). pp. 12469-12506. ISSN 13807501

Aman, M. and Said, A.M. and Kadir, S.J.A. and Ullah, I. (2018) Key concept identification: A comprehensive analysis of frequency and topical graph-based approaches. Information (Switzerland), 9 (5). ISSN 20782489

Aman, M. and Md Said, A.B. and Abdul Kadir, S.J. and Ullah, I. (2018) Key concept identification: A sentence parse tree-based technique for candidate feature extraction from unstructured texts. IEEE Access, 6. pp. 60403-60413. ISSN 21693536

Ullah, R. and Said, A.B.M. and Saleem, M.Q. and Jaafar, J. and Ullah, I. (2016) Semantic ontology for annotated images. In: UNSPECIFIED.

Ullah, R. and Jaafar, J. and Said, A.B.M. and Ullah, I. (2015) Semantic intensity: Objects contributions towards image annotation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9429. pp. 237-248. ISSN 03029743

Aslam, N. and Ullah, I. and Rohullah and Shams, B. and Akram, T. and Shabir, M. (2012) Tracking the progression of multimedia semantics: From text based retrieval to semantic based retrieval. World Applied Sciences Journal, 20 (4). pp. 549-553. ISSN 18184952

Aslam, N. and Ullah, I. and Loo, J. and Ullah, R. and Loomes, M. (2011) SemRank: Ranking refinement strategy by using the semantic intensity. In: UNSPECIFIED.