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

2 March 2021

Papers citing "A Novel CNN-LSTM-based Approach to Predict Urban Expansion"

6 / 6 papers shown

Title
Cross-Modal Urban Sensing: Evaluating Sound-Vision Alignment Across Street-Level and Aerial Imagery Pengyu Chen Xiao Huang Teng Fei Sicheng Wang 31 0 0 03 Jun 2025
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping J. Giezendanner Rohit Mukherjee Matthew Purri Mitchell Thomas Max Mauerman A. Islam B. Tellman 32 3 0 01 May 2023
Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review Yosra Hajjaji W. Boulila I. Farah 44 2 0 12 Sep 2022
Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach W. Boulila Adel Ammar Bilel Benjdira Anis Koubaa 61 13 0 15 Mar 2022
A Deep Learning-based Approach for Real-time Facemask Detection W. Boulila Ayyub Alzahem Aseel Almoudi Muhanad Afifi I. Alturki Maha Driss CVBM 45 17 0 17 Oct 2021
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 76 42 0 17 May 2021