- 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
Citations: 66
- 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
Citations: 48
- 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
Citations: 43
- 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
Citations: 43
- RU-Net2+: A deep learning algorithm for accurate brain tumor segmentation and survival rate prediction
R Zaitoon, H Syed
IEEE Access 11, 118105-118123 2023
Citations: 28
- A DCNN-LSTM based human activity recognition by mobile and wearable sensor networks
S Jameer, H Syed
Alexandria Engineering Journal 80, 542-552 2023
Citations: 27
- 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
Citations: 23
- Improved churn prediction based on supervised and unsupervised hybrid data mining system
J Vijaya, E Sivasankar
Information and Communication Technology for Sustainable Development 2018
Citations: 20
- 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
Citations: 19
- 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
Citations: 14
- 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
Citations: 14
- GSAtt-CMNetV3: Pepper leaf disease classification using osprey optimization
SSA Begum, H Syed
IEEE Access 12, 32493-32506 2024
Citations: 11
- 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
Citations: 9
- 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
Citations: 8
- Methodologies used for customer churn detection in customer relationship management
J Nagaraju, J Vijaya
2021 international conference on technological advancements and innovations 2021
Citations: 8
- Vision-based har in uav videos using histograms and deep learning techniques
S Gundu, H Syed
Sensors 23 (5), 2569 2023
Citations: 7
- 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
Citations: 6
- 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
Citations: 4
- 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
Citations: 4
- Hesitancy of COVID-19 vaccine in a working-age population in a town in Central Maharashtra in Western India: a survey based on vaccine characteristics
MA Sayed, H Syed, NK Guru, S Nazneen, SA Sayed
International Journal of Infectious Diseases 116, S62 2022
Citations: 3