A machine learning method for classification of cervical cancer JJ Tanimu, M Hamada, M Hassan, H Kakudi, JO Abiodun Electronics 11 (3), 463, 2022 | 85 | 2022 |
A neural networks approach for improving the accuracy of multi-criteria recommender systems M Hassan, M Hamada Applied Sciences 7 (9), 868, 2017 | 76 | 2017 |
An interactive learning environment for information and communication theory M Hamada, M Hassan EURASIA Journal of Mathematics, Science and Technology Education 13 (1), 35-59, 2016 | 72 | 2016 |
On-farm feeding and feed management in aquaculture MR Hasan, MB New FAO fisheries and aquaculture technical paper, I, 2013 | 68 | 2013 |
An LDA–SVM machine learning model for breast cancer classification OJ Egwom, M Hassan, JJ Tanimu, M Hamada, OM Ogar BioMedInformatics 2 (3), 345-358, 2022 | 57 | 2022 |
Artificial neural networks and particle swarm optimization algorithms for preference prediction in multi-criteria recommender systems M Hamada, M Hassan Informatics 5 (2), 25, 2018 | 42 | 2018 |
Genetic algorithm approaches for improving prediction accuracy of multi-criteria recommender systems M Hassan, M Hamada International Journal of Computational Intelligence Systems 11 (1), 146-162, 2018 | 42 | 2018 |
Meta-analysis of the association between dietary inflammatory index (DII) and colorectal cancer SS Syed Soffian, A Mohammed Nawi, R Hod, MH Ja’afar, ZM Isa, ... Nutrients 14 (8), 1555, 2022 | 37 | 2022 |
Benefits of donkeys in rural and urban areas in northwest Nigeria MR Hassan, FA Steenstra, HMJ Udo African Journal of Agricultural Research 8 (48), 6202-6212, 2013 | 33 | 2013 |
Effect of varied inclusion levels of Gmelia (Gmelina arborea) leaf meal on intake, digestibility and nitrogen in Red Sokoto bucks fed on sorghum glum based … SB Abdu, MR Hassan, GE Jokthan, HY Adamu, SM Yashim, K Yusuf | 33 | 2012 |
Colorectal cancer awareness and screening preference: a survey during the Malaysian world digestive day campaign MAM Suan, NS Mohammed, MRA Hassan Asian Pacific Journal of Cancer Prevention 16 (18), 8345-8349, 2016 | 28 | 2016 |
The delineation of the aquifer overlying the basement complex in western part of the Kubanni Basin of Zaria (Nigeria) CO Ajayi, M Hassan Journal of Mining and Geology 26 (1), 117-124, 1990 | 28 | 1990 |
Evaluation of maize accessions for nutrients composition, forage and silage yields JT Amodu, TT Akpensuen, DD Dung, RJ Tanko, A Musa, SA Abubakar, ... Journal of Agricultural Science 6 (4), 178, 2014 | 27 | 2014 |
A contemporary machine learning method for accurate prediction of cervical cancer JJ Tanimu, M Hamada, M Hassan, SY Ilu SHS Web of Conferences 102, 04004, 2021 | 26 | 2021 |
Smart media-based context-aware recommender systems for learning: A conceptual framework M Hassan, M Hamada 2017 16th International Conference on Information Technology Based Higher …, 2017 | 26 | 2017 |
Forage yield and quality of Lablab (Lablab purpureus L. Sweet) intercropped with maize (Zea mays L.) with flooded irrigation system in the semi-arid zone of Nigeria MR Hassan, JT Amodu, IR Muhammad, GE Jokthan, SB Abdu, ... Journal of Agricultural Science 6 (11), 196, 2014 | 26 | 2014 |
Enhancing learning objects recommendation using multi-criteria recommender systems M Hassan, M Hamada 2016 ieee international conference on teaching, assessment, and learning for …, 2016 | 25 | 2016 |
Recommending learning peers for collaborative learning through social network sites M Hassan, M Hamada 2016 7th International Conference on Intelligent Systems, Modelling and …, 2016 | 25 | 2016 |
Effect of varying levels of Zizyphus (Zizyphus mauritiana) leaf meal inclusion in concentrate diet on performance of growing Yankasa ram lambs fed maize stover basal diet SB Abdu, OW Ehoche, AM Adamu, GS Bawa, MR Hassan, SM Yashim, ... IRANIAN JOURNAL OF APPLIED ANIMAL SCIENCE 2 (4), 323-330, 2012 | 25 | 2012 |
State-of-the-art survey on deep learning-based recommender systems for e-learning L Salau, M Hamada, R Prasad, M Hassan, A Mahendran, Y Watanobe Applied Sciences 12 (23), 11996, 2022 | 24 | 2022 |