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“Comparison of long-term and short-term trends of annual rainfall in India: a case study”, ISH Journal of Hydraulic Engineering, DOI: 10.1080/09715010.2022.2084351, 2022
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“Correlating Stream Gauging Stations using Artificial Neural Networks”, International Journal of Engineering Applied Sciences and Technology, 7(1), ISSN No. 2455-2143, 290-293, 2022
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“Modelling dissolved oxygen and biochemical oxygen demand using data-driven techniques: Sahu Pali, Londhe Shreenivas. N., Kulkarni Preeti, Environmental Engineering Research, 28(3), https://doi.org/10.4491/eer.2021.541
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“Is Climate Change Affecting The Monsoon Months In Pune, India?”, Shah Shalaka, Londhe S.N., International Journal of Hydrology Research, 7(1), 15-29, June 2022
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“Estimation Of Hydraulic Parameters in A Proposed Barrage by using Mathematical Model”, Burule Neha, Londhe, S.N., Kunjeer, P.S., International Journal of Engineering Applied Sciences and Technology, 2022, 6(12), ISSN No. 2455-2143, 146-150
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“Feasibility of VOF-FEM Coupling to Study the Wave Impact on a Sloping Seawall”, Dabir V. V, Shinde S. R, Khare K. C, Londhe S. N., International Journal of Engineering Trends and Technology, 70 (4), 82-94, April 2022
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“Tree Based Approaches for Predicting Concrete Carbonation Coefficient”, S.N. Londhe, P. S. Kulkarni, P. R. Dixit, A. Silva, R. Neves, J. de Brito, Appl. Sci. 12, 3874, 2022, https://doi.org/10.3390/app12083874
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“Hydraulic response of the Hippargi barrage and Almatti reservoir on the Krishna river and its tributaries, India”, Dhumal, H.T, Thakare, S.B., Londhe, S.N., Gavali Pallavi, Rankhambe, P., Innovative Infrastructure Solutions, Springer Nature, 2022, https://doi.org/10.1007/s41062-022-00795-y
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“Effect of flood releases from reservoirs in Krishna basin of Maharashtra state”, Dhumal, H.T, Thakare, S.B., Londhe, S.N., Rankhambe, P., Innovative Infrastructure Solutions, Springer Nature, 2022, https://doi.org/10.1007/s41062-021-00678-8
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"Predicting carbonation coefficient using Artificial neural networks and genetic programming”, S.N. Londhe, P.S.Kulkarni, P. R. Dixit, A. Silva, R. Neves, J. de Brito, Journal of Building Engineering, 39, July 21, 102258
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“Analysis of Precipitation Extremes for Coastal Districts of Maharashtra”, Gandhre, Nikhilesh, Dauji, Saha and Londhe, Shreenivas, Civil and Environmental e-Journal, SSRN: https://ssrn.com/abstract=3697534 or http://dx.doi.org/10.2139/ssrn.3697534, Oct 2020, |
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“Air quality forecasting using soft computing techniques”, Tikhe Shruti, Khare Kanchan, Londhe Shreenivas, Soft Computing in Engineering Sciences, De Gruyter, https://doi.org/10.1515/9783110628616, June 2020, 105-130 |
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“Prediction of Concrete Compressive Strength Using Fuzzy Logic and Model Tree”, Nagarkar, V., Preeti Kulkarni, Shreenivas Londhe, Advances in Structural Engineering, Springer, 74, 2019, 230-240
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“Predicting Strength of Concrete using Artificial Neural Network , MultiGene Genetic Programming and Model Tree”, Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit, Challenge Journal of Structural Mechanics, 5(2), 42-61, June 2019 |
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“Concrete Strength Prediction using Artificial Neural Network and Genetic Programming”, Preeti Kulkarni, Shreenivas Londhe, Challenge Journal of Concrete Research Letters, 9(3), 75-84, Nov 2018 |
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“ANN Techniques: A Survey of Costal Applications”, S.N.Londhe, Vijay Panchang, Advances in Coastal Hydraulics, World Scientific, June 2018 |
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“Stream Flow Forecasting using Least Square Support Vector Regression”, S.N.Londhe, Seema Gavraskar, Journal of Soft Computing in Civil Engineering, 2-2, January 2018, 60-92
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“A novel approach for knowledge extraction from Artificial Neural Networks”, S. N. Londhe, Shalaka Shah, ISH- Journal of Hydraulic Engineering, Dec 2017, https://doi.org/10.1080/09715010.2017.1409667
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“Artificial Neural Networks for Construction Management: A review”, P.S.Kulkarni, S.N.Londhe, M.C. Deo, Journal of Soft Computing in Civil Engineering, 1-2, August 2017, 70-88
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“Forecasting Stream Flow using Hybrid Neuro-Wavelet Technique”, S. N. Londhe, Shweta Narkhede, ISH- Journal of Hydraulic Engineering, July 2017, DOI:10.1080/09715010.2017.1360158
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“Spatio - Temporal Estimation of Air Quality Parameters using Linear Genetic Programming”, Shruti Tikhe, K. C. Khare, S. N. Londhe, Advances in Environmental Research, Techno-Press, 6(2), August 2017, 83-94
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“Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regression”, Faezehossadat Khademi, Sayed Mohammad Mehdi Jamal, Neela Deshpande, Shreenivas Londhe, International Journal of Sustainable Built Environment, Elsevier, 5(2), Dec 2016, 355-369
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“Catchment Level Modeling of Green roofs using Info-Works CS”, Desai Ajay, Shreenivas Londhe, International Journal of earth sciences and Engineering, 9(6), Dec 2016, 2437-2451
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“Review of Application of Neuro-wavelet Techniques in Water Flows”, Pradnya Dixit, Shreenivas Londhe, M.C. Deo, INAE Letters, Springer, Nov 2016, 1(3), 99-104
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“A coupled Numerical and Artificial Neural Network Model for Improving Location Specific Wave Forecast”, S.N.Londhe, Shalaka Shah, P.R.Dixit, T.M.Balakrishan Nair, P. Sirisha, Rohit Jain, Applied Ocean Research, Elsevier, 59, July 2016, 483-491
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“Prediction of Extreme Wave Heights Using Neuro Wavelet Technique”, P.R. Dixit, S.N.Londhe, Applied Ocean Research, Elsevier, 58, April 2016, 241-252
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“Application of Geno-Wavelet Technique to Improve the Location Specific Wave Forecasts”, ShreenivasLondhe, Pradnya Dixit, Shweta Narkhede, Procedia Engineering, Elsevier, 116, Sept 2015, 971-978
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“Behavioral Characteristics of Multilevel Decomposition Systems of Neuro-Wavelet in Wave Forecasting”, Pradnya Dixit, Shreenivas Londhe, Shalaka Shah, Procedia Engineering, Elsevier, 116, Sept 2015, 406-413
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“Infilling of Missing Daily Rainfall Records using Artificial Neural Network”, S. N. Londhe, Pradnya Dixit, Shalaka Shah, Shweta Narkhede, ISH Journal of Hydraulic Engineering, Taylor and Francis, 21(3), Sept 2015, 255-264
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“Multicity Seasonal Air Quality Index Forecasting using Soft Computing Techniques”, Shruti Tikhe, K. C. Khare, S. N. Londhe, Advances in Environmental Research, 4(2), June 2015, 83-104
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“Forecasting One Day Ahead Stream Flow using Support Vector Regression”, S. N. Londhe, Seema Gavraskar, Aquatic Procedia, Science Direct, 4, March 2015, 900-907
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“Modeling Stage-Discharge Relationship using Data Driven Techniques”, S. N. Londhe, Gauri Panse-Aaglave, ISH Journal of Hydraulic Engineering, Taylor and Francis, 21(2), May 2015, 207-215
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“Removing Prediction Lag in Wave Height Forecasting using Neuro - Wavelet Modeling technique”, P.R. Dixit, S. N. Londhe, Y.H. Dandawate , Ocean Engineering, 93, Jan 2015,74-83
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“Spatial Mapping of Pan Evaporation Using Linear Genetic Programming”, N. D. Chaudhari, S. N. Londhe and K. C. Khare, International Journal of Hydrology Science and Technology, 4(3), 234-244, Dec 2014
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“Modeling Compressive Strength of Recycled Aggregate Concrete by Artificial Neural Network, Model Tree and Non-Linear Regression”, Deshpande Neela, S. N. Londhe, Kulkarni Sushma, International Journal of Sustainable Built Environment, Elsevier, 3(2), Dec 2014, 187-198
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“Wave Forecasting using Neuro-Wavelet Technique”, P.R. Dixit, S. N. Londhe, Y.H. Dandawate , International Journal of Ocean and Climatic Systems, 5(4), Dec 2014, 237-248,
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“Prediction of sea water levels using wind information and softcomputing techniques”, S. P. Nitsure, S. N. Londhe and K. C. Khare, Applied Ocean Research, 47, July 2014, 344-351
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“Short Term Air Quality Forecast Using Data Driven Approaches”, Shruti Tikhe, K. C. Khare and S. N. Londhe, Int. Journal of Engineering Research and Applications 4(1), Jan. 14, pp.224-236
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“Modelling Compressive Strength of Recycled Aggregate Concrete Using Neural Networks and Regression”, Neela Deshpande, Shreenivas Londhe, Sushama Kulkarni, Concrete Research Letters, 4(2), June 2013, 580-590
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“Forecasting Criteria Air Pollutants Using Data Driven Approaches; an Indian Case Study”, Shruti Tikhe, K. C. Khare and S. N. Londhe, IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) 3(5), April 2013, 1-8
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“Forecasting Stream Flow using Support Vector Regression and M5 Model Trees”, S.N.Londhe and P.R.Dixit, The International Journal of Engineering Research and Development (IJERD), 2(5), July 2012, 1-12
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“Genetic programming: A Novel Computing Approach in Modeling Water Flows”, S.N.Londhe and P. R. Dixit, Genetic Programming, InTech Publications, editor: Sebastian Ventura Soto, ISBN 980-953-307-215-4, http://dx.doi.org/10.5772/48179, 2012,199-224,
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“Estimation of Pan Evaporation using Soft Tools”, N. D. Chaudhari, S. N. Londhe and K. C. Khare, International Journal of Hydrology Science and Technology, 2(4), Dec 2012, 373-390
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“Wave Forecasts using Wind Information and Genetic Programming Technique”, S. P. Nitsure, S. N. Londhe and K. C. Khare, Ocean Engineering, 54, 2012, 61-69
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“Forecasting Stream Flow Using Model Trees”, S.N.Londhe, P.R.Dixit, International Journal of Earth Sciences and EngineeringISSN 0974-5904, Volume 04, (06 SPL), October 2011, 282-285
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“Real Time Forecasting of Waves Along the Indian Coastline Using Soft Computing”, S. N. Londhe, International Journal of Research in Engineering Science & Technology (InJoREST), Special Issue 1, Jan 2011, Civil Engg., 08-13
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“Forecasting Water Levels using Artificial Neural Networks”, S. N. Londhe, International Journal of Ocean and Climatic Systems, 2(2), 2011, 119-135
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“Comparison of Data Driven Modeling Techniques For River Flow Forecasting”, S.N. Londhe and S.B. Charhate, Hydrological Sciences Journal, 55(7), 2010, 1163-1174
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“Reply to ‘‘Discussion of ‘Soft computing approach for real-time estimation of missing wave heights’ by S.N. Londhe [Ocean Engineering 35 (2008) 1080–1089]’’, Ocean Engineering 37(13), 2010, 1241
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“Genetic Programming for Real Time Prediction of Offshore Wind”, S. B. Charhate, M. C. Deo and S.N.Londhe, Ships and Offshore Structures, 4(1), 2009, 77-88
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“Inverse Modeling to Derive Wind Parameters from Wave Measurements”, S. B. Charhate, M. C. Deo and S. N. Londhe, Applied Ocean Research, 30(2), 2008, 120-129
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“Soft Computing Approach for Real Time Estimation Of Missing WaveHeights”, S.N.Londhe, Ocean Engineering, 35, (11-12), 2008, 1080-1089
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“Correlation Of Wave Data From Buoy Networks”, S. N. Londhe and Vijay Panchang, Estuarine, Coastal and Shelf sciences, 74, 2007, 481-492
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“One-day Wave Forecasts using Buoy Data and Artificial Neural Networks”, S. N. Londhe and V. G. Panchang J. Atmospheric & Oceanic Technology, Vol23, Nov 2006, 1593-1603.
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“Artificial Neural networks for Wave Propagation”, S N Londhe and M C Deo, Coastal Research, 20(4), 2004, 1061-1069
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“Wave Tranquility studies using neural networks”, S N Londhe and M C Deo , Marine Structures, 16(6), 2003, 419- 436
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