| Prediction of Academic Performance of College Students with Bipolar disorder using Deep Learning and Machine Learning algorithms MS Peerbasha International Journal of Computer Science and Network Security 21 (7), 350-358, 2021 | 2* | 2021 |
| A Predictive Model to identify possible affected Bipolar disorder students using Naive Baye's, Random Forest and SVM machine learning techniques of data mining and building a … MS Peerbasha International Journal of Computer Science and Network Security 21 (5), 267-274, 2021 | 1 | 2021 |
| Structural Analysis of URL For Malicious URL Detection Using Machine Learning AS Raja, S Peerbasha, YM Iqbal, B Sundarvadivazhagan, ... JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH 5 (4), 28-41, 2023 | | 2023 |
| Diabetes Prediction using Decision Tree, Random Forest, Support Vector Machine, K-Nearest Neighbors, Logistic Regression Classifiers S Peerbasha, YM Iqbal, KP Praveen, MM Surputheen, AS Raja JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH 5 (4), 42-54, 2023 | | 2023 |
| Prediction of Academic Performance in College Students with Bipolar Disorder using Deep Featured Spectral Scaling Classifier (DFSSC) MS Peerbasha International Journal of Engineering Research & Technology 10 (10), 262-274, 2021 | | 2021 |
| Psychotic Motivation for Improving Student Performance Based on Pattern Learner Features Using Deep Neural Classifier for Bipolar Disorder Students MS Peerbasha Journal of Contemporary Issues in Business and Government 27 (3), 504-514, 2021 | | 2021 |
| Time Domain Psychotic Analysis on Bipolar Disorder for Improved Student Performance using HIF MS Peerbasha International Journal of Advanced Science and Technology 29 (5s), 535-544, 2020 | | 2020 |
| Behavioral Pattern Based Psychotic Analysis for Improved Student Performance using Fuzzy set MS Peerbasha International Journal of Recent Technology and Engineering (IJRTE) 8 (4 …, 2019 | | 2019 |
| Study and Analysis of Data Mining Algorithms for Identifying the Students’ for Psychology Motivation S Peerbasha, MM Surputheen Asian Journal of Computer Science and Technology 8 (S2), 83-87, 2019 | | 2019 |
| Innovative Machine Learning Algorithms for Identifying Bipolar Disorder Students and Enhancing their Academic Performance S Peerbasha Tiruchirappalli, 0 | | |
