The integration of artificial intelligence (AI) into an evidence-based modern drug discovery
platform will likely result in revolutionary advancement. Although modern medicine remains …

Data assimilation allows for updating state variables in a model to represent the initial
condition of a catchment more accurately than the initial OpenLoop simulation. In hydrology …

This paper addresses the issue of extraction of an academic researcher social network. By
researcher social network extraction, we are aimed at finding, extracting, and fusing …

Building the physics-driven mechanism model has always been the core scientific paradigm
for parameter estimation in Earth surface systems, and developing the data-driven machine …

Numerical weather prediction (NWP) uses atmospheric general circulation models (AGCMs)
to predict weather based on current weather conditions. The process of entering observation …

Accurate and timely weather prediction is of significance for autonomous vehicles, such as
designing more appropriate sensors or other configurations and developing safer driving …

This article presents a comprehensive review of the existing literature on the topic of data
assimilation for agent-based models, with a specific emphasis on pedestrians and …

This paper proposes an inverse model for raindrop size distribution (DSD) retrieval with
polarimetric radar variables. In this method, a forward operator is first developed based on …

Traditional noise propagation models are built for particular height of building. Residents
living in high-rise buildings are severely affected by noise. The main objective of this study is …

In this study, we propose a new variable coded hierarchical fuzzy model (VCHFM) for
handling classification problems. The proposed hierarchical framework classification model …