Comparison of data-driven modelling techniques for river flow forecasting S Londhe, S Charhate Hydrological Sciences Journal–Journal des Sciences Hydrologiques 55 (7 …, 2010 | 92 | 2010 |
Soft and hard computing approaches for real-time prediction of currents in a tide-dominated coastal area SB Charhate, MC Deo, VS Kumar Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2007 | 29 | 2007 |
Prediction of concrete properties using multiple linear regression and artificial neural network S Charhate, M Subhedar, N Adsul Journal of Soft Computing in Civil Engineering 2 (3), 27-38, 2018 | 26 | 2018 |
Lean construction techniques in Indian construction industry: some analysis VD More, S Charhate, M Sinha Int J Civ Eng Res 7 (1), 59-65, 2016 | 21 | 2016 |
A detection of tomato plant diseases using deep learning MNDLNN classifier R Bora, D Parasar, S Charhate Signal, Image and Video Processing 17 (7), 3255-3263, 2023 | 16 | 2023 |
Inverse modeling to derive wind parameters from wave measurements SB Charhate, MC Deo, SN Londhe Applied Ocean Research 30 (2), 120-129, 2008 | 16 | 2008 |
Genetic programming for real-time prediction of offshore wind SB Charhate, MC Deo, SN Londhe Ships and Offshore Structures 4 (1), 77-88, 2009 | 12 | 2009 |
Smart Modal Analysis of Multistoried Building Considering the Effect of Infill Walls K Nagarajan, S Charhate International Journal of Global Technology Initiatives (IJGTI) 5 (1), C20-C27, 2016 | 7 | 2016 |
Wrapper-based feature selection and optimization-enabled hybrid deep learning framework for stock market prediction PR Patil, D Parasar, S Charhate International Journal of Information Technology & Decision Making 23 (01 …, 2024 | 6 | 2024 |
Application of genetic programming to solve coastal and ocean engineering problems SB Charhate, MC Deo Proceedings of the International Workshop on Advances in Hydroinformatics …, 2007 | 6 | 2007 |
Plant Leaf Disease Detection using Deep Learning: A Review R Bora, D Parasar, S Charhate 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 1-6, 2022 | 5 | 2022 |
Application of geographic information system for water distribution networks through quantum GIS plug-in with hydraulic simulation for infrastructure and development planning K Nagarajan, S Charhate Proceedings of the 38th Asian Conference on Remote Sensing—Space …, 2017 | 5 | 2017 |
Comparaison de techniques de modélisation conditionnée par les données pour la prévision des débits fluviaux S Londhe, S Charhate Hydrol. Sci. J. 55 (7), 1163-1174, 2010 | 5 | 2010 |
Seismic performance of RC elevated water storage tanks CJ Chitte, S Charhate, SS Mishra Materials Today: Proceedings 65, 901-907, 2022 | 4 | 2022 |
A Literature Review on Machine Learning Techniques and Strategies Applied to Stock Market Price Prediction PR Patil, D Parasar, S Charhate Emerging Trends in Data Driven Computing and Communications: Proceedings of …, 2021 | 4 | 2021 |
Estimation of discharge using LS-SVM and Model trees VG Sayagavi, S Charhate, R Magar Journal of water resources and ocean science 5 (6), 78-86, 2016 | 4 | 2016 |
Detection and prevention of sensitive data from data leak using shingling and Rabin filter S Gaikwad, S Chougule, S Charhate International Journal on Advanced Science, Engineering and Information …, 2016 | 4 | 2016 |
A comparative analysis for stock price prediction using improved expansive deep LSTM model PR Patil, D Parasar, S Charhate, I Sahi, S Jain, A Thampuran Artificial Intelligence, 2022 | 3 | 2022 |
Storm surge prediction using NN and GP SB Charhate, MC Deo Sixth Conference on Artificial Intelligence and its Applications to the …, 2008 | 3 | 2008 |
ZnS-rGO nanocomposite: an efficient sun light driven photocatalyst for degradation of methylene blue PH Shinde, Y Padwal, SR Bansode, R Chauhan, S Charhate, RB Sharma, ... Journal of Materials Science: Materials in Electronics 34 (22), 1627, 2023 | 2 | 2023 |