Particle Swarm Optimization based support vector machine for damage level prediction of non-reshaped berm breakwater N Harish, S Mandal, S Rao, SG Patil Applied Soft Computing 27, 313-321, 2015 | 56 | 2015 |
Damage level prediction of non-reshaped berm breakwater using ANN, SVM and ANFIS models S Mandal, S Rao, N Harish International Journal of Naval Architecture and Ocean Engineering 4 (2), 112-122, 2012 | 28 | 2012 |
Performance of variable selection method for the damage level prediction of reshaped berm breakwater P Janardhan, N Harish, S Rao, KG Shirlal Aquatic Procedia 4, 302-307, 2015 | 14 | 2015 |
Analysis of offshore jacket platforms Harish N, Mandal S., Shanthala B, and Subba Rao National Conference on Sustainable Water Resources Management, 2010 | 14* | 2010 |
Support vector machine in predicting epoxy glass powder mixed cement concrete N Harish, P Janardhan Materials Today: Proceedings 46, 9042-9046, 2021 | 8 | 2021 |
Parameter optimization using GA in SVM to predict damage level of non-reshaped berm breakwater N Harish, Lokesha, S Mandal, S Rao, SG Patil The International Journal of Ocean and Climate Systems 5 (2), 79-88, 2014 | 8 | 2014 |
A review of soft computing techniques in predicting the compressive strength of concrete and the future scope T Dabholkar, H Narayana, P Janardhan Innovative Infrastructure Solutions 8 (6), 176, 2023 | 3 | 2023 |
Compressive strength studies of concrete with partial replacement of cement and fine aggregate with incinerated solid waste and recycled plastic waste P Janardhan, H Narayana, N Darshan Materials Today: Proceedings, 2023 | 2 | 2023 |
Application of artificial neural network (ANN) in the prediction of displacement of RC frame subjected to earthquake R Prabhakara, P Patil, N Harish, HN Jagannatha Reddy Recent Trends in Civil Engineering: Select Proceedings of ICRTICE 2019, 43-54, 2020 | 2 | 2020 |
Numerical modelling of shelter effect of porous wind fences Prashanth, J.,and Harish, N. Wind and Structures 29 (5), 313-321, 2019 | 2* | 2019 |
Elephant Herding Optimization Based Neural Network to Predict Elastic Modulus of Concrete S Adarsha, B.S., Harish, N., Prashanth J., and Mandal Advances in Intelligent Systems and Computing 1048, 353-364, 2019 | 2* | 2019 |
Effective adsorption of lead and copper from aqueous solution by samaneasaman and banana stem N Harish, J Prashanth, S Sanjeev Advances in Environmental Research, an International Journal 7 (3), 225-237, 2018 | 2 | 2018 |
PSO based neural network to predict torsional strength of FRP strengthened RC beams H Narayana, P Janardana computers and concrete 28 (6), 635-642, 2021 | 1 | 2021 |
Studies on Green Concrete Pavement: Experimental and SVM Modelling H Narayana, H Shivkumar, J Prashanth Proceedings of International Conference on Sustainable Computing in Science …, 2019 | 1 | 2019 |
Prediction of Tides Off Mithividi, Gujarat- West Coast of India J Prashanth, N Harish, S Mandal 37th IAHR World Congress, Kuala Lumpur, Malaysia, 5366-5372, 2017 | 1* | 2017 |
Damage level prediction of non-reshaped berm breakwater using genetic algorithm tuned support vector machine H Narayana, Lokesha, S Mandal, S Rao, SG Patil | 1 | 2014 |
Damage Level Prediction of NonReshaped Berm Breakwater using Soft Computing Techniques N Harish, S Rao, S Mandal National Institute of Technology Karnataka, Surathkal, 2014 | 1 | 2014 |
Application of CNN based image classification technique for oil spill detection K Das, P Janardhan, H Narayana Indian Journal of Geo-Marine Sciences (IJMS) 52 (01), 05-14, 2023 | | 2023 |
Experimental and numerical modelling of infiltration rate RN Paul, P Janardhan, H Narayana AIP Conference Proceedings 2721 (1), 2023 | | 2023 |
Detection of Oil Spills Using Sentinel-1 Data K Das, P Janardhan, H Narayana Recent Trends in Civil Engineering: Select Proceedings of ICRACE 2021, 575-584, 2022 | | 2022 |