Introduction Landslides pose significant geological hazards, necessitating advanced
prediction techniques to protect vulnerable populations. Research Gap Reviewing landslide …

Sustainable development goals require evaluating vulnerabilities and examining natural
and climatic hazards for effective planning that reduces their impact on economic, social …

Landslides establish a main geologic threat of strong concern in many parts of the world.
The vigor of soil, rocks, or other rubbish moving down a slope can destroy whatever in its …

The present study is an in-depth examination of machine learning strategies for landslide
prediction that use three primary methods: Recurrent Neural Network (RNN), Gated …

This study presents a high-level simulator for Network-on-Chip (NoC), designed for many-
core architectures, and integrated with the PlatEMO platform. The motivation for developing …

With the rapid development of deep learning (DL) technology, it has been widely used in
many fields such as image recognition and speech recognition. At the same time, the …