ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.06868
  4. Cited By
Nowcasting-Nets: Deep Neural Network Structures for Precipitation
  Nowcasting Using IMERG

Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG

16 August 2021
M. Ehsani
Ariyan Zarei
H. Gupta
Kobus Barnard
A. Behrangi
    AI4Cl
ArXivPDFHTML

Papers citing "Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG"

7 / 7 papers shown
Title
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of
  Geoscientific Systems
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems
Yuan-Heng Wang
Hoshin V. Gupta
AI4CE
35
6
0
12 Oct 2023
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals
  for GPM: A U-Net Convolutional LSTM Architecture
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
Reyhaneh Rahimi
Praveen Ravirathinam
A. Ebtehaj
A. Behrangi
J. Tan
Vipin Kumar
AI4Cl
34
4
0
20 Jul 2023
Tools for Extracting Spatio-Temporal Patterns in Meteorological Image
  Sequences: From Feature Engineering to Attention-Based Neural Networks
Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks
A. S. Bansal
Yoonjin Lee
Kyle Hilburn
I. Ebert‐Uphoff
AI4TS
38
2
0
22 Oct 2022
On Extractive and Abstractive Neural Document Summarization with
  Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian
Raymond Li
Jonathan Pilault
C. Pal
246
215
0
07 Sep 2019
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,109
0
02 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,906
0
13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1