| A Personalized Learning Recommendation System Architecture for Learning Management System TA Syed, V Palade, RISSK Nair 9th International Joint Conference on Knowledge Discovery, Knowledge …, 2017 | 29 | 2017 |
| Exploiting heterogeneous features to improve in silico prediction of peptide status – amyloidogenic or non-amyloidogenic SSK Nair, NV Subba Reddy, KS Hareesha BMC bioinformatics 12, 1-9, 2011 | 21 | 2011 |
| An educational augmented reality app to facilitate learning experience S Sunil, SSK Nair 2017 International Conference on Computer and Applications (ICCA), 279-282, 2017 | 18 | 2017 |
| Personalized recommendation system for advanced learning management systems TA Syed, SSK Nair Proceedings of the 8th International Conference on Information Communication …, 2018 | 14 | 2018 |
| A business intelligence framework for Sultan Qaboos University: A case study in the Middle East SS Al Rashdi, SSK Nair Journal of Intelligence Studies in Business 7 (3), 2017 | 14 | 2017 |
| An exploratory study on big data processing: A case study from a biomedical informatics SSK Nair, N Ganesh 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 1-4, 2016 | 12 | 2016 |
| Quantitative analysis of brain tissues from magnetic resonance images SSK Nair, K Revathy 2009 International Conference on Digital Image Processing, 57-61, 2009 | 10 | 2009 |
| A brain friendly tool to facilitate research-teaching nexus: Mind maps SSK Nair, K Al Farei 2017 8th International Conference on Information and Communication Systems …, 2017 | 9 | 2017 |
| ERP implementation in the oil and gas sector: A case study in Sultanate of Oman AAL Jafari, SSK Nair 2018 7th International Conference on Reliability, Infocom Technologies and …, 2018 | 8 | 2018 |
| Segmentation and Volume Estimation of Brain Tissues from MR Images SS Smitha, K Revathy, C Kesavadas International Workshop on Imaging Engineering in the International …, 2006 | 8 | 2006 |
| Machine learning study of classifiers trained with biophysiochemical properties of amino acids to predict fibril forming Peptide motifs S Sunil Kumaran Nair, N V Subba Reddy, K S Hareesha Protein and Peptide Letters 19 (9), 917-923, 2012 | 7 | 2012 |
| Motif mining: an assessment and perspective for amyloid fibril prediction tool SSK Nair, NVS Reddy, KS Hareesha Bioinformation 8 (2), 70, 2012 | 5 | 2012 |
| An evaluation of feature selection approaches in finding amyloidogenic regions in protein sequences SSK Nair, NVS Reddy, KS Hareesha International Journal of Computer Applications 8 (2), 1-6, 2010 | 4 | 2010 |
| IS/IT Strategy Framework for Research Centers at Sultan Qaboos University: A Case Study in the Middle East HS Alqam, SSK Nair 2018 8th International Conference on Computer Science and Information …, 2018 | 3 | 2018 |
| Building a Dataset for Personalized Learning Recommendation System TA Syed, V Palade, R Iqbal, SSK Nair 2018 International Conference on Advances in Computing, Communications and …, 2018 | 2 | 2018 |
| Knowledge based system for amyloidogenic protein sequence analysis using soft computing approach SSK Nair Manipal, 2014 | 2 | 2014 |
| Computational models for the prediction of amyloid fibril forming protein segments SSK Nair, NV Subbareddy, KS Hareesha 1st International Conference on Bioinformatics and Systems Biology, 2010 | 2 | 2010 |
| Volumetric analysis of Brain Tissues from MR Images for Brain atrophy quantification SS Smitha, K Revathy, C Kesavadas IEEE Conference on eHealth Networking and Applications, 2006 | 2 | 2006 |
| The effect of financial reporting quality on institutional ownership V Gopikumar, S Nair, GS Sisodia Applied Economics Letters 30 (15), 2020-2023, 2023 | 1 | 2023 |
| Alumni mentoring: An approach to build community of learners PS Kurian, SSK Nair SHS Web of Conferences 156, 08003, 2023 | 1 | 2023 |
