| Time series data prediction using sliding window based RBF neural network HS Hota, R Handa, AK Shrivas International Journal of Computational Intelligence Research 13 (5), 1145-1156, 2017 | 130 | 2017 |
| An ensemble model for classification of attacks with feature selection based on KDD99 and NSL-KDD data set AK Shrivas, AK Dewangan International Journal of computer applications 99 (15), 8-13, 2014 | 122 | 2014 |
| Decision tree techniques applied on NSL-KDD data and its comparison with various feature selection techniques HS Hota, AK Shrivas Advanced Computing, Networking and Informatics-Volume 1: Advanced Computing …, 2014 | 60 | 2014 |
| An ensemble model for detecting phishing attack with proposed remove-replace feature selection technique HS Hota, AK Shrivas, R Hota Procedia computer science 132, 900-907, 2018 | 51 | 2018 |
| A Robust model for handwritten digit recognition using machine and deep learning technique AK Agrawal, AK Shrivas, V kumar Awasthi 2021 2nd International Conference for Emerging Technology (INCET), 1-4, 2021 | 27 | 2021 |
| Data mining approach for developing various models based on types of attack and feature selection as intrusion detection systems (IDS) HS Hota, AK Shrivas Intelligent Computing, Networking, and Informatics: Proceedings of the …, 2014 | 21 | 2014 |
| Classification of chronic kidney disease with proposed union based feature selection technique AK Shrivas, SK Sahu, HS Hota Proceedings of 3rd International Conference on Internet of Things and …, 2018 | 19 | 2018 |
| ACADEMIC PROFILE AK Shrivas Journal of Computer Applications (IJCA) 84, 42-48, 2013 | 14 | 2013 |
| Financial time series forecasting using back propagation neural network and deep learning architecture R Handa, AK Shrivas, HS Hota Int. J. Recent Technol. Eng 8, 3487-3492, 2019 | 11 | 2019 |
| Development of proposed ensemble model for spam e-mail classification AK Shrivas, AK Dewangan, SM Ghosh, D Singh Information Technology and Control 50 (3), 2021 | 10 | 2021 |
| An ensemble approach for classification of thyroid disease with feature optimization A Shrivas, P Ambastha International Education and Research Journal 3 (5), 1-4, 2019 | 10 | 2019 |
| Artificial neural network, decision tree and statistical techniques applied for designing and developing e-mail classifier HS Hota, AK Shrivas, SK Singhai Training 40, 60, 2013 | 10 | 2013 |
| Decision Tree Classifier for Classification of Phishing Website with Info Gain Feature Selection AK Shrivas, R Suryawanshi Int. J. Res. Appl. Sci. Eng. Technol 5 (5), 780-783, 2017 | 9 | 2017 |
| Thyroid classification using ensemble model with feature selection S Pandey, A Tiwari, AK Shrivas, V Sharma Int J Comput Sci Inf Technol 6 (3), 2395-2398, 2015 | 9 | 2015 |
| Neural network techniques to develop a robust financial time series forecasting system HS Hota, R Handa, AK Shrivas International Journal of Pure and Applied Mathematics 118 (19), 125-133, 2018 | 7 | 2018 |
| COVID-19 pandemic in India: forecasting using machine learning techniques HS Hota, R Handa, AK Shrivas Data Science for COVID-19, 503-525, 2021 | 6 | 2021 |
| A robust predictive model for stock market index prediction using data mining technique AK Shrivas, SK Sharma International Research Journal of Engineering and Technology (IRJET) 5 (2), 1-5, 2018 | 6 | 2018 |
| An effective prediction factors for coronary heart disease using data mining based classification technique AK Shrivas, RK Yadu International Journal on Recent and Innovation Trends in Computing and …, 2017 | 6 | 2017 |
| Classification of thyroid disease with feature selection technique A Dewangan, A Shrivas, P Kumar International Journal of Engineering & Technology 2 (3), 128-133, 2016 | 6 | 2016 |
| Robust Text Classifier for Classification of Spam E-Mail Documents with Feature Selection Technique. AK Shrivas, AK Dewangan, SM Ghosh Ingénierie des Systèmes d'Information 26 (5), 2021 | 5 | 2021 |
Dr. Amit Kumar DewanganDepartment of Information Technology , Guru Ghasidas Vishwavidyalaya , Koni Bilaspur (C.G)Verified email at ggu.ac.in
