Prediction of sea surface temperatures using deep learning neural networks PP Sarkar, P Janardhan, P Roy SN Applied Sciences 2 (8), 1458, 2020 | 50 | 2020 |
Removal of hazardous dye from aqueous media using low‐cost peanut (Arachis hypogaea) shells as adsorbents A Herbert, U Kumar, P Janardhan Water Environment Research 93 (7), 1032-1043, 2021 | 18 | 2021 |
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 |
Support vector machine in predicting epoxy glass powder mixed cement concrete N Harish, P Janardhan Materials Today: Proceedings 46, 9042-9046, 2021 | 8 | 2021 |
Prediction of sea surface temperatures using deep learning neural networks. SN Appl Sci 2: 1458 PP Sarkar, P Janardhan, P Roy | 6 | 2020 |
Effect of vehicle speed and road surface roughness on the impact factor of simply supported bridges due to IRC Class A and B loading B Nunia, T Rahman, S Choudhury, P Janardhan SN Applied Sciences 2, 1-24, 2020 | 5 | 2020 |
A novel deep neural network model approach to predict Indian Ocean dipole and Equatorial Indian Ocean oscillation indices PP Sarkar, P Janardhan, P Roy Dynamics of Atmospheres and Oceans 96, 101266, 2021 | 4 | 2021 |
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 |
Applicability of a long short-term memory deep learning network in sea surface temperature predictions P Sarkar, P Janardhan, P Roy Earth 1st International Conference on Water Security and Sustainability …, 2019 | 3 | 2019 |
Seawalls: performance and their failure analysis along southern Karnataka, West Coast of India S Rao, AV Hegde, GS Dwarakish, J Prashanth, DV Reddy | 3 | 2012 |
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 |
Elephant Herding Optimization Based Neural Network to Predict Elastic Modulus of Concrete BS Adarsha, N Harish, P Janardhan, S Mandal Soft Computing for Problem Solving: SocProS 2018, Volume 1, 353-364, 2020 | 2 | 2020 |
Numerical modelling of shelter effect of porous wind fences P Janardhan, H Narayana Wind and Structures 29 (5), 313-321, 2019 | 2 | 2019 |
Effective adsorption of lead and copper from aqueous solution by samaneasaman and banana stem N Harish, P Janardhan, S Sangami Advances in environmental research 7 (3), 225-237, 2018 | 2 | 2018 |
Study on shelter effect of solid wind fences U Pruthviraj, J Prashanth, SC Yaragal, MK Nagaraj | 2 | 2011 |
Analysing the Changing Variations of Indian Ocean Dipole (IOD)—Indian Summer Monsoon Rainfall (ISMR) Relationship Across Northeast India PP Sarkar, P Janardhan, P Roy Recent Trends in Civil Engineering: Select Proceedings of ICRACE 2021, 585-598, 2022 | 1 | 2022 |
Indian Ocean Dipole: Assessing its impacts on the Indian Summer Monsoon Rainfall (ISMR) across North East India P Sarkar, P Janardhan, P Roy Mausam 72 (4), 821-834, 2021 | 1 | 2021 |
PSO based neural network to predict torsional strength of FRP strengthened RC beams H Narayana, P Janardhan Computers and Concrete 28 (6), 635-642, 2021 | 1 | 2021 |
Prediction of Tides off Mithividi, Gujarat–West Coast of India P Janardhan, H Narayan, S Mandal Proceedings of the 37th IAHR World Congress, 5366-5372, 2017 | 1 | 2017 |
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 |