| Analysis of agriculture data using data mining techniques: application of big data J Majumdar, S Naraseeyappa, S Ankalaki Journal of Big data 4 (1), 20, 2017 | 315 | 2017 |
| A novel optimized parametric hyperbolic tangent swish activation function for 1D-CNN: application of sensor-based human activity recognition and anomaly detection S Ankalaki, MN Thippeswamy Multimedia Tools and Applications 83 (22), 61789-61819, 2024 | 13 | 2024 |
| Applying data mining approach and regression model to forecast annual yield of major crops in different district of Karnataka S Ankalaki, N Chandra, J Majumdar International Journal of Advanced Research in Computer and Communication …, 2016 | 13 | 2016 |
| Segmentation method for automatic leaf disease detection A Darshana, J Majumdar, S Ankalaki International Journal of Innovative Research in Computer and Communication …, 2015 | 12 | 2015 |
| Comparison of clustering algorithms using quality metrics with invariant features extracted from plant leaves J Majumdar, S Ankalaki Advanced Science Letters 23 (11), 11211-11216, 2017 | 11 | 2017 |
| Leaf identification based on fuzzy C means and Naive Bayesian classification S Ankalaki, L Noolvi, J Majumdar Int. J. Adv. Res. Eng. Technol 5 (7), 71-82, 2014 | 10 | 2014 |
| Diabetes and Heart Disease Prediction Using Machine Learning Algorithms SA Syed Matheen Pasha International Journal of Emerging Trends in Engineering Research 8 (7), 3247 …, 2020 | 8 | 2020 |
| Static and dynamic human activity detection using multi cnn-elm approach S Ankalaki, MN Thippeswamy Emerging Research in Computing, Information, Communication and Applications …, 2022 | 7 | 2022 |
| Leaf identification based on back propagation neural network and support vector machine S Ankalaki, J Majumdar 2015 International conference on cognitive computing and information …, 2015 | 7 | 2015 |
| The Customized 1D-CNN for sensor-based human activity recognition using various benchmark datasets S Ankalaki, M Thippeswamy Journal of Engineering Science and Technology 17 (4), 2315-2335, 2022 | 5 | 2022 |
| Performance analysis of video segmentation H Aditya, T Gayatri, T Santosh, S Ankalaki, J Majumdar 2017 4th International Conference on Advanced Computing and Communication …, 2017 | 5 | 2017 |
| Analysis of agriculture data using data mining techniques: application of big data. J Big Data 4, 20 (2017) J Majumdar, S Naraseeyappa, S Ankalaki | 5 | |
| A customized 1D-CNN approach for sensor-based human activity recognition S Ankalaki, MN Thippeswamy International Journal of Advanced Technology and Engineering Exploration 9 …, 2022 | 4 | 2022 |
| Texture feature for analysis of COVID–19 X-ray images J Majumdar, S Ankalaki, G Karthik, DS Salimath, SR Sameer, SP Shetty J. Crit. Rev. 7 (15), 3194-3204, 2020 | 4 | 2020 |
| A Big Data Methodology for Sentiment Analysis of Twitter Data SA Supraja.G.S, Dr. Jharna Majumdar International Journal of Innovative Research in Computer and Communication …, 2015 | 4 | 2015 |
| A Deep Learning Approach for Malnutrition Detection. S Ankalaki, VG Biradar, KK Naik P, GS Hukkeri International Journal of Online & Biomedical Engineering 20 (6), 2024 | 3 | 2024 |
| Boosting Classifiers in Diabetes Disease Prediction SA Shyamili V International Journal of Emerging Trends in Engineering Research 8 (7), 4023 …, 2020 | 3 | 2020 |
| Design and implementation of neural network based non linear control system (LQR) for target tracking mobile robots S Ankalaki, SC Gupta, BP Prasath, J Majumdar 2018 International Conference on Advances in Computing, Communications and …, 2018 | 3 | 2018 |
| Simple to Complex, Single to Concurrent Sensor based Human Activity Recognition: Perception and Open Challenges S Ankalaki IEEE Access, 2024 | 2 | 2024 |
| Optimized Convolutional Neural Network Using Hierarchical Particle Swarm Optimization for Sensor Based Human Activity Recognition S Ankalaki, MN Thippeswamy SN Computer Science 5 (5), 447, 2024 | 2 | 2024 |
