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Dev Niyogi
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2020 – today
- 2024
- [j12]Ryan Hardesty Lewis, Junfeng Jiao, Kijin Seong, Arya Farahi, Paul A. Navrátil, Nate Casebeer, Dev Niyogi:
Fire and smoke digital twin - A computational framework for modeling fire incident outcomes. Comput. Environ. Urban Syst. 110: 102093 (2024) - 2023
- [j11]Trisha Chakraborty
, Debashish Das, Rafiq Hamdi
, Ansar Khan, Dev Niyogi
:
Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent. Remote. Sens. 15(10): 2681 (2023) - [c4]Calvin Lin
, Ting-Yu Dai
, Aysegül Demir Dilsiz
, Drury Crawley
, Dev Niyogi
, Zoltán Nagy:
UTwin: A digital twin of the UT Austin campus. BuildSys@SenSys 2023: 282-283 - [c3]Ting-Yu Dai
, Aysegül Demir Dilsiz
, Dev Niyogi
, Zoltán Nagy:
A Comparison of Different Deep Learning Model Architectures and Training Strategy for Urban Energy Modeling. BuildSys@SenSys 2023: 316-317 - [i7]Junfeng Jiao, Ryan Hardesty Lewis, Kijin Seong, Arya Farahi, Paul A. Navrátil, Nate Casebeer, Dev Niyogi:
Fire and Smoke Digital Twin - A computational framework for modeling fire incident outcomes. CoRR abs/2305.18313 (2023) - [i6]Ting-Yu Dai, Dev Niyogi, Zoltán Nagy:
CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling. CoRR abs/2312.02375 (2023) - 2022
- [j10]Junjun Cao
, Huijing Wang, Jinxiao Li
, Qun Tian, Dev Niyogi
:
Improving the Forecasting of Winter Wheat Yields in Northern China with Machine Learning-Dynamical Hybrid Subseasonal-to-Seasonal Ensemble Prediction. Remote. Sens. 14(7): 1707 (2022) - [j9]Xiang Zhang
, Tailai Huang
, Aminjon Gulakhmadov
, Yu Song, Xihui Gu
, Jiangyuan Zeng
, Shuzhe Huang
, Won-Ho Nam
, Nengcheng Chen
, Dev Niyogi
:
Deep Learning-Based 500 m Spatio-Temporally Continuous Air Temperature Generation by Fusing Multi-Source Data. Remote. Sens. 14(15): 3536 (2022) - [i5]Harsh G. Kamath, Manmeet Singh, Lori A. Magruder, Zong-Liang Yang, Dev Niyogi
:
GLOBUS: GLObal Building heights for Urban Studies. CoRR abs/2205.12224 (2022) - [i4]Manmeet Singh, Vaisakh S. B, Nachiketa Acharya, A. Suryachandra Rao, Bipin Kumar, Zong-Liang Yang, Dev Niyogi
:
Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction. CoRR abs/2206.11669 (2022) - [i3]Manmeet Singh, Nachiketa Acharya, Sajad Jamshidi, Junfeng Jiao, Zong-Liang Yang, Marc Coudert, Zach Baumer, Dev Niyogi
:
Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA. CoRR abs/2209.06848 (2022) - 2021
- [i2]Manmeet Singh, Bipin Kumar, Dev Niyogi, A. Suryachandra Rao, Sukhpal Singh Gill, Rajib Chattopadhyay, Ravi S. Nanjundiah:
Deep learning for improved global precipitation in numerical weather prediction systems. CoRR abs/2106.12045 (2021) - 2020
- [j8]Berhanu Keno Terfa
, Nengcheng Chen
, Xiang Zhang
, Dev Niyogi
:
Spatial Configuration and Extent Explains the Urban Heat Mitigation Potential due to Green Spaces: Analysis over Addis Ababa, Ethiopia. Remote. Sens. 12(18): 2876 (2020) - [j7]Nengcheng Chen
, Lixiaona Yu
, Xiang Zhang
, Yonglin Shen, Linglin Zeng, Qiong Hu, Dev Niyogi
:
Mapping Paddy Rice Fields by Combining Multi-Temporal Vegetation Index and Synthetic Aperture Radar Remote Sensing Data Using Google Earth Engine Machine Learning Platform. Remote. Sens. 12(18): 2992 (2020) - [j6]Raghu Nadimpalli
, Akhil Srivastava
, V. S. Prasad, Krishna K. Osuri
, Ananda K. Das, U. C. Mohanty, Dev Niyogi
:
Impact of INSAT-3D/3DR Radiance Data Assimilation in Predicting Tropical Cyclone Titli Over the Bay of Bengal. IEEE Trans. Geosci. Remote. Sens. 58(10): 6945-6957 (2020) - [c2]Manush Bhatt, Rajesh Kalyanam
, Gen Nishida, Liu He
, Christopher May, Dev Niyogi
, Daniel G. Aliaga:
Design and Deployment of Photo2Building: A Cloud-based Procedural Modeling Tool as a Service. PEARC 2020: 132-138 - [i1]Manush Bhatt, Rajesh Kalyanam, Gen Nishida, Liu He, Christopher May, Dev Niyogi, Daniel G. Aliaga:
Design and Deployment of Photo2Building: A Cloud-based Procedural Modeling Tool as a Service. CoRR abs/2008.01286 (2020)
2010 – 2019
- 2019
- [j5]Sajad Jamshidi
, Shahrokh Zand-Parsa, Mojtaba Naghdyzadegan Jahromi
, Dev Niyogi
:
Application of A Simple Landsat-MODIS Fusion Model to Estimate Evapotranspiration over A Heterogeneous Sparse Vegetation Region. Remote. Sens. 11(7): 741 (2019) - 2017
- [j4]Xiang Zhang
, Chehan Wei, Renee Obringer, Deren Li, Nengcheng Chen
, Dev Niyogi
:
Gauging the Severity of the 2012 Midwestern U.S. Drought for Agriculture. Remote. Sens. 9(8): 767 (2017) - [j3]Madhavi Jain
, A. P. Dimri, Dev Niyogi
:
Land-Air Interactions over Urban-Rural Transects Using Satellite Observations: Analysis over Delhi, India from 1991-2016. Remote. Sens. 9(12): 1283 (2017) - [j2]Ignacio Garcia-Dorado, Daniel G. Aliaga, Saiprasanth Bhalachandran
, Paul Schmid, Dev Niyogi
:
Fast Weather Simulation for Inverse Procedural Design of 3D Urban Models. ACM Trans. Graph. 36(2): 21:1-21:19 (2017) - 2016
- [j1]Ashish Routray, U. C. Mohanty, Krishna K. Osuri
, S. C. Kar, Dev Niyogi
:
Impact of Satellite Radiance Data on Simulations of Bay of Bengal Tropical Cyclones Using the WRF-3DVAR Modeling System. IEEE Trans. Geosci. Remote. Sens. 54(4): 2285-2303 (2016)
2000 – 2009
- 2009
- [c1]Gilbert Rochon, Magdy M. Abdel Wahab
, Gamal Salah El Afandi, Gulay Altay, Okan K. Ersoy, Carol X. Song, Lan Zhao, Larry L. Biehl, Belal Elleithy, Mohammed Shokr, Mohamed Mohamed, Tarek A. El-Ghazawi, Darion Grant
, Dev Niyogi
:
The Kamal Ewida Earth Observatory: A NATO Supported Real-time Remote Sensing Receiving Station being Established in Egypt with HPC-enabled Near-real-time Data Products for Mitigation of Environmental & Public Health Disasters. IGARSS (4) 2009: 53-56
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last updated on 2024-08-08 19:15 CEST by the dblp team
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