| An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing J Vijaya, E Sivasankar Cluster Computing 22, 10757-10768, 2019 | 57 | 2019 |
| Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector J Vijaya, E Sivasankar Computing 100, 839-860, 2018 | 41 | 2018 |
| Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network E Sivasankar, J Vijaya Neural Computing and Applications 31 (11), 7181-7200, 2019 | 38 | 2019 |
| Convolutional neural network-based personalized program recommendation system for smart television users KV Dudekula, H Syed, MIM Basha, SI Swamykan, PP Kasaraneni, ... Sustainability 15 (3), 2206, 2023 | 26 | 2023 |
| Boost customer churn prediction in the insurance industry using meta-heuristic models J Nagaraju, J Vijaya International Journal of Information Technology 14 (5), 2619-2631, 2022 | 20 | 2022 |
| A study of feature selection techniques for predicting customer retention in telecommunication sector E Sivasankar, J Vijaya International Journal of Business Information Systems 31 (1), 1-26, 2019 | 20 | 2019 |
| Improved churn prediction based on supervised and unsupervised hybrid data mining system J Vijaya, E Sivasankar Information and Communication Technology for Sustainable Development …, 2018 | 19 | 2018 |
| Customer segmentation by various clustering approaches and building an effective hybrid learning system on churn prediction dataset E Sivasankar, J Vijaya Computational Intelligence in Data Mining: Proceedings of the International …, 2017 | 12 | 2017 |
| A DCNN-LSTM based human activity recognition by mobile and wearable sensor networks S Jameer, H Syed Alexandria Engineering Journal 80, 542-552, 2023 | 10 | 2023 |
| Fuzzy clustering with ensemble classification techniques to improve the customer churn prediction in telecommunication sector J Vijaya, E Sivasankar, S Gayathri Recent Developments in Machine Learning and Data Analytics: IC3 2018, 261-274, 2019 | 9 | 2019 |
| RU-Net2+: A deep learning algorithm for accurate brain tumor segmentation and survival rate prediction R Zaitoon, H Syed IEEE Access, 2023 | 8 | 2023 |
| Methodologies used for customer churn detection in customer relationship management J Nagaraju, J Vijaya 2021 international conference on technological advancements and innovations …, 2021 | 7 | 2021 |
| Building an efficient heart disease prediction system by using clustering techniques KSL Prasanna, J Vijaya High Performance Computing and Networking: Select Proceedings of CHSN 2021 …, 2022 | 6 | 2022 |
| Deep SE-BiLSTM with IFPOA fine-tuning for human activity recognition using mobile and wearable sensors S Jameer, H Syed Sensors 23 (9), 4319, 2023 | 5 | 2023 |
| GSAtt-CMNetV3: Pepper leaf disease classification using osprey optimization SSA Begum, H Syed IEEE Access, 2024 | 4 | 2024 |
| Vision-Based HAR in UAV Videos Using Histograms and Deep Learning Techniques S Gundu, H Syed Sensors 23 (5), 2569, 2023 | 4 | 2023 |
| An efficient ontology model with query execution for accurate document content extraction P Eswaraiah, H Syed Indonesian Journal of Electrical Engineering and Computer Science 29 (2 …, 2023 | 4 | 2023 |
| A concrete security framework model for cloud computing security issues H Syed, A Kumar International Journal of Control and Automation 12 (5), 261-270, 2019 | 4 | 2019 |
| A Hybrid Deep Learning GRU based Approach for Text Classification using Word Embedding P Eswaraiah, H Syed EAI Endorsed Transactions on Internet of Things 10, 2024 | 3 | 2024 |
| Human Detection in Aerial Images using Deep Learning Techniques S Gundu, H Syed, J Harikiran 2022 2nd International Conference on Artificial Intelligence and Signal …, 2022 | 3 | 2022 |
