As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …

Aim Global‐scale maps of the environment are an important source of information for
researchers and decision makers. Often, these maps are created by training machine …

This paper presents RF Genesis (RFGen), a novel and cost-effective method for
synthesizing RF sensing data using cross-modal diffusion models, in order to improve the …

Objective: Modern medicine needs to shift from a wait and react, curative discipline to a
preventative, interdisciplinary science aiming at providing personalized, systemic, and …

Abstract Model Predictive Control (MPC) has demonstrated its capability to significantly
enhance energy efficiency while ensuring indoor comfort. This study focuses on the …

Artificial intelligence (AI)-powered autonomous vehicles (AVs) can integrate different
machine learning (ML) techniques to build up a complex autonomous driving system …

In order to reduce unnecessary data transmissions from Internet of Things (IoT) sensors, this
article proposes a multivariate-time-series-prediction-based adaptive data transmission …

The development of reliable mortality risk stratification models is an active research area in
computational healthcare. Mortality risk stratification provides a standard to assist physicians …

Ammonia in fertilizers used in agriculture is emitted into the atmosphere, which can be a
precursor to the formation of fine dust that deteriorates air quality. This study investigated …

Simple Summary Cancer is a complex disease that develops over time through accumulated
mutations in DNA that transform normal cells into a cancerous state. To fully capture the …