Items where Author is "Booba, B"

Article

Deepa, S and Booba, B (2026) Comparison of Existing Machine Learning Algorithms with Proposed Hybrid Ensemble Gradient Boosting Technique in Regards of Diabetes Prediction. Springer Nature, 645 (1). pp. 427-438. ISSN 2198-4182

Sankar, Kondireddy Muni and Booba, B (2025) Performance Evaluation of Machine Learning Algorithms for Detecting Gas Leakage System. CLEI Electronic Journal, 28 (3). ISSN 0717-5000

Booba, B and Fathima, M S (2025) A Novel Deep Learning Architecture for Irrigation Prediction Using ID-CNN Bidirectional GRU- Fusion Model. International journal of intelligent Engineering and systems, 18 (5). ISSN 2185-310X

Book Section

Rajesh, M and Booba, B (2026) Survey of Predictive Analytics Models for Student Dropout in Higher Secondary and Higher Education. In: Proceedings of the 6th International Conference on Artificial Intelligence and Smart Energy. 1 ed. Springer, Cham, pp. 164-181. ISBN 978-3-032-23543-5

Pradeeparumugam, K and Booba, B (2026) System Fault Classification and Performance Analysis Using Transfer Learning in Pre-trained Deep Networks. In: Proceedings of International Conference on Computational Intelligence and Information Retrieval (ICCIIR 2025). 1 ed. Springer, Cham, pp. 523-535. ISBN 978-3-032-04539-3

Pradheep Arumuham, K and Booba, B (2025) Leveraging Feature Ranking for System Fault Identification and Classification Using Machine Learning Algorithms. In: Innovations in Data Analytics (ICIDA 2024). 1 ed. Springer, Singapore, Singapore, pp. 157-167. ISBN 978-981-96-6299-9

Lavanya suja, T and Booba, B (2025) A Metaheuristic Approach on Virtual Machine Allocation Using Backtracking and Simulated Annealing in Cloud Computing. In: Congress on Smart Computing Technologies (CSCT 2024). 1 ed. Springer, Singapore, Singapore. ISBN 978-981-96-6253-1

Deepa, S. and Booba, B (2025) Hybrid Ensemble Gradient Boosting Algorithm to Predict Diabetes Health Care Analytics. In: Communications in Computer and Information Science. Springer Link, pp. 92-105.

Conference or Workshop Item

Renuka, P and Booba, B (2026) Efficient deep spectral logistic decision neural network (DSLDNN) for cardiovascular disease stratification: Evaluating performance in python and MATLAB. In: SUSTAINABLE COMPUTING & INTELLIGENT SYSTEMS 21–22 March 2025, 22.03.2025, Jaipur, India.

Swathi, L and Anja Reddy, G and Naresh, M and Sravani Kumari, V and Theetchenya, S and Booba, B (2026) An Efficient Neural Network by Safe and Secured IoT for Smart Device Protection Using Lightweight AI and Edge Security. In: 2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT), 31.10.2025, Warangal, India.

Booba, B and Shathish Kumar, T (2026) Kolmogorov Smirnov and Scatter Matrix Vector for Software Fault Prediction. In: 2025 IEEE 9th International Conference on Information and Communication Technology (CICT), 19,20,21 December 2025, chennai.

Book

Kasthuri, M and Aashi Qul Huq, A and Booba, B and Genga, M (2025) Computer Networks. SK Research Group of Companies. ISBN 978-93-6492-672-0