Landslides are a frequent natural hazard during the rainy season, causing infrastructural
and economic damage globally. Several studies on landslide monitoring techniques have …

Taking into consideration the existing Industry 4.0 infrastructures and the rise of Industry 5.0
(I5. 0), more and more solutions are being developed, aiming towards increased …

The big data technology framework has been successfully used in the Internet of Things,
and the financial industry also hopes to use the advanced technology of big data to integrate …

Artificial intelligence and machine learning have attracted significant attention in the
preparation of landslide susceptibility maps (LSMs) over the years. Achieving considerable …

Empirical evidence on deep learning-enabled smart process planning has been scarcely
documented in the literature. Using and replicating data from Deloitte, KSM, PwC, SME …

In the context of an early warning system for landslides, monitoring of prone areas is a long-
lasting process, little human intervention, and a resource less environment. Data changes in …

Software architecture forms the cornerstone for achieving and ensuring various software
quality attributes. It encompasses the collected requirements of the product, serving as a …

The dependency on vehicles is increasing tremendously due to its excellent transport
capacity, fast, efficient, flexible, pleasant journey, minimal physical effort, and substantial …

An exponential progression in the miniaturization of communicating devices has proliferated
the generation of a large volume of data termed as “big data.” The technological …

Landslides or slope failure pose a significant risk to human lives and infrastructures. The
stability of slopes is controlled by various hydrological processes such as rainfall infiltration …