Multi-objective optimisation and multi-criteria decision making in SLS using evolutionary approaches N Padhye, S Kalia, K Deb Rapid Prototyping Journal 17 (6), 458-478, 2011 | 146 | 2011 |
Fabrication of micro-features and micro-tools using electrochemical micromachining VK Jain, S Kalia, A Sidpara, VN Kulkarni The International Journal of Advanced Manufacturing Technology 61, 1175-1183, 2012 | 77 | 2012 |
Progressively growing generative adversarial networks for high resolution semantic segmentation of satellite images E Collier, K Duffy, S Ganguly, G Madanguit, S Kalia, G Shreekant, ... 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 763-769, 2018 | 31 | 2018 |
Some aspects of fabrication of micro devices by electrochemical micromachining (ECMM) and its finishing by magnetorheological fluid VK Jain, S Kalia, AM Sidpara The International Journal of Advanced Manufacturing Technology 59, 987-996, 2012 | 31 | 2012 |
Deep neural network cloud-type classification (DeepCTC) model and its application in evaluating PERSIANN-CCS V Afzali Gorooh, S Kalia, P Nguyen, K Hsu, S Sorooshian, S Ganguly, ... Remote Sensing 12 (2), 316, 2020 | 30 | 2020 |
Making the US national forest inventory spatially contiguous and temporally consistent Y Yu, S Saatchi, GM Domke, B Walters, C Woodall, S Ganguly, S Li, ... Environmental Research Letters 17 (6), 065002, 2022 | 17 | 2022 |
Exploring subpixel learning algorithms for estimating global land cover fractions from satellite data using high performance computing U Kumar, S Ganguly, RR Nemani, KS Raja, C Milesi, R Sinha, ... Remote Sensing 9 (11), 1105, 2017 | 17 | 2017 |
Rapid prototyping using evolutionary approaches: part 1 N Padhye, S Kalia Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009 | 14 | 2009 |
Semantic segmentation of high resolution satellite imagery using generative adversarial networks with progressive growing E Collier, S Mukhopadhyay, K Duffy, S Ganguly, G Madanguit, S Kalia, ... Remote Sensing Letters 12 (5), 439-448, 2021 | 5 | 2021 |
Very High Resolution Tree Cover Mapping for Continental United States using Deep Convolutional Neural Networks S Ganguly, S Kalia, S Li, A Michaelis, RR Nemani, S Saatchi AGU Fall Meeting Abstracts 2017, H33M-06, 2017 | 3 | 2017 |
Isogeometric Analysis of Elastic Sheets Exhibiting Combined Bending and Stretching using Dynamic Relaxation N Padhye, S Kalia arXiv preprint arXiv:2206.10406, 2022 | 2 | 2022 |
MultiYObjective Optimization and MultiYcriteria Decision Making For FDM Using Evolutionary Approaches N Padhye, S Kalia, K Deb | 2 | 2009 |
Evolutionary training of deep neural networks on heterogeneous computing environments S Kalia, CK Mohan, R Nemani Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 1 | 2022 |
NEX-AI: Deployment of Machine Learning Pipelines using Google Cloud ML Engine and AWS SageMaker GE Madanguit, S Ganguly, S Kalia, K Duffy, ED Collier, V Afzali Gorooh, ... AGU Fall Meeting Abstracts 2018, IN51B-0574, 2018 | 1 | 2018 |
DeepSAT's CloudCNN: A Deep Neural Network for Rapid Cloud Detection from Geostationary Satellites S Kalia, S Li, S Ganguly, RR Nemani AGU Fall Meeting Abstracts 2017, H31G-1596, 2017 | 1 | 2017 |
Structural Optimization with Isogeometric Representation using an Evolutionary Approach S Kalia, N Padhye, C Mohan Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | | 2024 |
Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue S Kalia, J Zeitler, CK Mohan, V Weiss Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2021 | | 2021 |
Net Carbon Change: Emissions and Attribution for US Forests in 2005-2016 L Melendy, SC Hagen, S Saatchi, Y Yu, GM Domke, BF Walters, ... AGU Fall Meeting Abstracts 2019, B41G-2523, 2019 | | 2019 |
GEONEX: Application of Deep Neural Networks and CloudSat Data in Cloud Type Classification of GOES-16 Multispectral Images for Improving PERSIANN-CCS VA Gorooh, S Ganguly, S Kalia, RR Nemani, P Nguyen, S Li, AR Ganguly, ... AGU Fall Meeting 2018, 2018 | | 2018 |
GEONEX: CloudCNN 2.0-A Deep Neural Network for Real-time Cloud Type Classification and Segmentation from Geostationary Data S Kalia, S Ganguly, S Li, V Afzali Gorooh, A Michaelis, G Shreekant, ... AGU Fall Meeting Abstracts 2018, H21J-1772, 2018 | | 2018 |