A survey on crossover operators G Pavai, TV Geetha ACM Computing Surveys (CSUR) 49 (4), 1-43, 2016 | 116 | 2016 |
Identifying the number of clusters for K-Means: A hypersphere density based approach S Nanjundan, S Sankaran, CR Arjun, GP Anand arXiv preprint arXiv:1912.00643, 2019 | 63 | 2019 |
New crossover operators using dominance and co-dominance principles for faster convergence of genetic algorithms G Pavai, TV Geetha Soft Computing 23, 3661-3686, 2019 | 30 | 2019 |
A Brief Study of Deep Reinforcement Learning with Epsilon-Greedy Exploration. N Hariharan, AG Paavai International Journal of Computing and Digital Systems 11 (1), 541-552, 2022 | 18 | 2022 |
Improving the freshness of the search engines by a probabilistic approach based incremental crawler G Pavai, TV Geetha Information Systems Frontiers 19, 1013-1028, 2017 | 17 | 2017 |
An Effective Stroke Prediction System using Predictive Models S Ashokan, SGS Narayanan, S Mandresh, B Vidhyasagar, GP Anand International Research Journal of Engineering and Technology (IRJET) 7 (03), 2020 | 9 | 2020 |
Identifying the number of clusters for K-Means: A hypersphere density based approach. arXiv https://doi. org/10.48550 S Nanjundan, S Sankaran, CR Arjun, GP Anand ArXiv, 1912 | 5 | 1912 |
A unified architecture for surfacing the content of deep web databases G Pavai, TV Geetha Proc. of Int. Conf. on Advances in Communication, Network, and Computing, 35-38, 2013 | 4 | 2013 |
Identifying the Number of Clusters for K-Means: A Hypersphere Density based Approach. arXiv 2019 S Nanjundan, S Sankaran, CR Arjun, GP Anand arXiv preprint arXiv:1912.00643, 0 | 4 | |
Anyone GAN sing S Sankaran, S Nanjundan, GP Anand arXiv preprint arXiv:2102.11058, 2021 | 3 | 2021 |
Identifying the number of clusters for K-Means: A hypersphere density based approach. N Sukavanan, S Shreeviknesh, CR Arjun, AG Paavai arXiv preprint arXiv: 1912.00643, 2019 | 2 | 2019 |
New real coded crossover operators for genetic algorithms based on incomplete dominance and gene memory G Pavai, TV Geetha Advances in Natural and Applied Sciences 9 (6), 568-573, 2015 | 2 | 2015 |
A Bootstrapping Approach to Classification of Deep Web Query Interfaces G Pavai, TV Geetha International Journal on Recent Trends in Engineering & Technology 11 (2), 1, 2014 | 2 | 2014 |
Favourable subpopulation migration strategy for travelling salesman problem A Chandar, A Srinivasan, GP Anand International Journal of Business Intelligence and Data Mining 20 (3), 299-326, 2022 | 1 | 2022 |
Movie Recommendation System Using Deep Autoencoder P Srikanth, E Ushitaasree, SMB Bhattaram, G PaavaiAnand 2021 5th International Conference on Electronics, Communication and …, 2021 | 1 | 2021 |
Traffic signal timing control using deep learning P Anand ACCENTS Transactions on Image Processing and Computer Vision 5 (17), 27, 2019 | 1 | 2019 |
A New Approach to Recognizing Double-Handed Sign Language with IRNCViT-MBTSO Algorithm GK Vaidhya, GP Anand | | 2024 |
Dynamic Doubled-handed sign language Recognition for deaf and dumb people using Vision Transformers GK Vaidhya, GP Anand | | 2024 |
Real-Time Car Sharing and Car Rental Portal AK Singh, V Naren, RS Thillak, GP Anand Advances in Science and Technology 124, 851-855, 2023 | | 2023 |
Sentiment Analysis Using Supervised Machine Learning Techniques H Yadav, U Kumar, P Karmakar, GP Anand | | 2021 |