Rainfall information with high spatial and temporal resolution are essential in various fields.
Heavy rainfall in a short period can cause problems and disasters that result in loss of life …

This book introduces both conceptual and procedural aspects of cutting-edge data science
methods, such as dynamic data visualization, artificial neural networks, ensemble methods …

Penyakit alzheimer adalah penyakit yang menyerang sistem saraf di dalam otak. Penyakit
ini dapat menyebabkan terganggunya aktivitas sehari-hari, ingatan yang tidak terorganisir …

Accurately and quickly predicting hydrogen embrittlement performance is critical for the
service of metal materials. However, due to multi‐source heterogeneity, existing hydrogen …

The integration of cyber-physical networks in the US power grid has increased its
vulnerability to Distributed Denial-of-Service (DDoS) attacks, posting significant threats to …

Abstract Machine learning, particularly Support Vector Machines (SVM), has been widely
utilized in Electroencephalogram (EEG) research to identify significant information within …

Entity Alignment (EA) involves identifying entities across two knowledge bases that
represent the same real-world entity. This task is crucial for the automated integration of …

The importance of journals for diffusing the results of scientific research has increased
considerably. In the digital era, Portable Document Format (PDF) became the established …