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A Novel CNN-LSTM-based Approach to Predict Urban Expansion

A Novel CNN-LSTM-based Approach to Predict Urban Expansion

2 March 2021
W. Boulila
Hamza Ghandorh
M. Khan
Fawad Ahmed
Jawad Ahmad
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Papers citing "A Novel CNN-LSTM-based Approach to Predict Urban Expansion"

4 / 4 papers shown
Title
Functional near-infrared spectroscopy (fNIRS) and Eye tracking for
  Cognitive Load classification in a Driving Simulator Using Deep Learning
Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning
M. Khan
Houshyar Asadi
Mohammad Reza Chalak Qazani
Chee Peng Lim
Saied Nahavandi
18
0
0
24 Jul 2024
Leveraging Artificial Intelligence Techniques for Smart Palm Tree
  Detection: A Decade Systematic Review
Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review
Yosra Hajjaji
W. Boulila
I. Farah
8
2
0
12 Sep 2022
Randomly Initialized Convolutional Neural Network for the Recognition of
  COVID-19 using X-ray Images
Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images
Safa Ben Atitallah
Maha Driss
W. Boulila
Henda Ben Ghézala
38
42
0
17 May 2021
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
239
7,921
0
13 Jun 2015
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