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N S Koti Mani Kumar Tirumanadham

Observed names: N. S. Koti Mani Kumar Tirumanadham, N.S. Koti Mani Kumar Tirumanadham, NS Koti Mani Kumar Tirumanadham, Naga Satya Koti Mani Kumar Tirumanadham, T N S Koti Mani Kumar, T. N. S. Koti Mani Kumar
Institution: VIT-AP University
ORCID: 0000-0003-3900-1900
Observed ORCID: 0000-0003-3900-1900
OpenAlex ID: A5092735497
Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling
2024 · N S Koti Mani Kumar Tirumanadham, Thaiyalnayaki S, et al. · International Journal of Information Technology · 65
Enhanced feature selection and ensemble learning for cardiovascular disease prediction: hybrid GOL2-2 T and adaptive boosted decision fusion with babysitting refinement
2024 · S. Phani Praveen, Mohammad Kamrul Hasan, et al. · Frontiers in Medicine · 62
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An Adaptive Load Balancing Technique for Multi SDN Controllers
2022 · S Phani Praveen, Pappula Sarala, et al. · International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) · 59
Optimizing Lung Cancer Prediction Models: A Hybrid Methodology Using GWO and Random Forest
2025 · N. S. Koti Mani Kumar Tirumanadham, V. Priyadarshini, et al. · Studies in computational intelligence · 38
Enhancing Predictive Model Performance through Comprehensive Pre-processing and Hybrid Feature Selection: A Study using SVM
2024 · Bharadwaj Thuraka, Vikram Pasupuleti, et al. · International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) · 37
Robust Heart Disease Prediction: A Hybrid Approach to Feature Selection and Model Building
2024 · Chandra Shikhi Kodete, Vikram Pasupuleti, et al. · International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) · 35
Optimizing Diabetes Diagnosis: HFM with Tree-Structured Parzen Estimator for Enhanced Predictive Performance and Interpretability
2025 · S. S., Kachapuram Basava Raju, et al. · Fusion Practice and Applications · 32
Boosting Lung Cancer Prediction Accuracy Through Advanced Data Processing and Machine Learning Models
2024 · Chandra Shikhi Kodete, D Vijaya Saradhi, et al. · International Conference on Sustainable Expert Systems (ICSES) · 32
Enhancing Diabetes Prediction using Hybrid Feature Selection and Ensemble Learning with AdaBoost
2024 · Bharadwaj Thuraka, Vikram Pasupuleti, et al. · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · 31
Scalable Web Data Extraction for Xtree Analysis: Algorithms and Performance Evaluation
2024 · K Varada Rajkumar, Kolluru Sri Nithya, et al. · International Conference on Inventive Computing and Informatics (ICICI) · 24
Evaluating Boosting Algorithms for Academic Performance Prediction in E-Learning Environments
2024 · N S Koti Mani Kumar Tirumanadham, Thaiyalnayaki S, et al. · International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) · 24
Enhancing Student Performance Prediction using E-Learning through Multimodal Data Integration and Machine Learning Techniques
2025 · NS Koti Mani Kumar Tirumanadham, Thaiyalnayaki S, et al. · International Conference on Sentiment Analysis and Deep Learning (ICSADL) · 22
An Optimized Bagging Ensemble Learning of Machine Learning Algorithms for Early Detection of Diabetes
2023 · Homer Benny Bandela, Shaik Sikindar, et al. · International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) · 16
Optimizing Diabetes Prediction: A Comparative Analysis of Ensemble Machine Learning Models with PSO-AdaBoost and ACO-XGBoost
2023 · Sreenu Konda, Chandrashekhar Goswami, et al. · International Conference on Sustainable Communication Networks and Application (ICSCNA) · 15
Enhancing Student Performance Prediction in ELearning Environments: Advanced EnsembleTechniques and Robust Feature Selection
2025 · N. S. Koti Mani Kumar Tirumanadham, Thaiyalnayaki S. · International Journal of Modern Education and Computer Science · 14
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Accurate and Explainable AI in Student Performance Prediction Using E-Learning Classification
2025 · N S Koti Mani Kumar Tirumanadham, Thaiyalnayaki S, et al. · International Conference on Next Generation Information System Engineering (NGISE) · 13
An analysis of diverse computational models for predicting student achievement on e-learning platforms using machine learning
2024 · Naga Satya Koti Mani Kumar Tirumanadham, Thaiyalnayaki Sekhar, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 13
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A Comparison between Shortest Path Algorithms Using Runtime Analysis and Negative Edges in Computer Networks
2022 · T N S Koti Mani Kumar, UnniKiran Jaladhi, et al. · International Mobile and Embedded Technology Conference (MECON) · 13
ElimRidge-HFM: A Mathematical Integration of Feature Selection, Boosting, and Hyperparameter Search for Enhanced Predictive Performance in E-Learning
2025 · Naga Satya Koti Mani Kumar Tirumanadham, Thaiyalnayaki Sekhar, et al. · Contemporary Mathematics · 12
Optimizing Intrusion Detection with Triple Boost Ensemble for Enhanced Detection of Rare and Evolving Network Attacks
2025 · N. S. Koti Mani Kumar Tirumanadham · International Journal of Electrical and Electronic Engineering & Telecommunications · 12
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Data-Driven Early Warning System for Subject Performance: A SMOTE and Ensemble Approach (SMOTE-RFET)
2023 · Hari Krishna. R, Pranav Vallabhaneni, et al. · International Conference on Sustainable Communication Networks and Application (ICSCNA) · 12
Boosting breast cancer detection: A voting ensemble with optimized feature selection
2025 · Chandra Shikhi Kodete, Ramakrishna Kandunuri, et al. · AIP conference proceedings · 11
Optimizing Lung Cancer Detection: The Synergy of Support Vector Machine and Random Forest
2024 · Raja Rao PBV, T N S Koti Mani Kumar, et al. · International Conference on Decision Aid Sciences and Applications (DASA) · 10
Towards Smarter E-Learning: Real-Time Analytics and Machine Learning for Personalized Education
2025 · N. S. Koti Mani Kumar Tirumanadham, S. Thaiyalnayaki, et al. · International Journal of Computational and Experimental Science and Engineering · 8
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ELM-based stroke classification using wavelet and empirical mode decomposition techniques
2023 · Balaram Allam, N Ramesh, et al. · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization · 8
Works count: 39
Citation count: 654
H-index: 14
I10-index: 23
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