[HTML][HTML] Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data

S Doda, M Kahl, K Ouan, I Obadic, Y Wang… - International Journal of …, 2024 - Elsevier
Accurate and up-to-date map** of the human population is fundamental for a wide range
of disciplines, from effective governance and establishing policies to disaster management …

Projecting high resolution population distribution using local climate zones and multi-source big data

L Ma, L Zhou, T Blaschke, Z Yan, W He, H Lu… - Remote Sensing …, 2024 - Elsevier
High precision and easily updatable data on population estimates are critical for urban
planning, disaster risk assessment, and public health campaigns. However, traditional …

[PDF][PDF] Performance Analysis of Intrusion Detection System in the IoT Environment Using Feature Selection Technique.

M Alhanaya, KH Ateyeh Al-Shqeerat - Intelligent Automation & Soft …, 2023 - academia.edu
The increasing number of security holes in the Internet of Things (IoT) networks creates a
question about the reliability of existing network intrusion detection systems. This problem …

[PDF][PDF] Département de géomatique appliquée Faculté des lettres et sciences humaines Université́ de Sherbrooke

KM Mansour - 2024 - usherbrooke.ca
Les catastrophes naturelles, les changements environnementaux et les conflits violents
dans les régions en crise mettent en péril la stabilité sociale, aggravant la pauvreté et la …

Artificial Intelligence for Automatic Building Extraction from Urban Aerial Images

L González, J Toutouh, S Nesmachnow - Ibero-American Congress of …, 2022 - Springer
Cartographic information is key in urban city planning and management. Deep neural
networks allow detecting/extracting buildings from aerial images to gather this cartographic …

Measuring human mobility in rural areas emerging approaches, methods, and applications

NFL Nunes - 2023 - search.proquest.com
This study explores the viability of alternative methods for measuring human mobility in rural
settings, with a focus on Portugal. It aims to assess whether these methods can effectively …

[PDF][PDF] Artificial intelligence for automatic building extraction from urban aerial images

S Nesmachnow - Congress of Smart Cities - dspace.ucuenca.edu.ec
Cartographic information is key in urban city planning and management. Deep neural
networks allow detecting/extracting buildings from aerial images to gather this cartographic …