Machine learning accelerates the materials discovery
J Fang, M Xie, X He, J Zhang, J Hu, Y Chen… - Materials Today …, 2022 - Elsevier
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 …
technology becomes more and more accessible, the material design method based on …
Assessing and improving the transferability of current global spatial prediction models
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 …
researchers and decision makers. Often, these maps are created by training machine …
Graph representation forecasting of patient's medical conditions: Toward a digital twin
Objective: Modern medicine needs to shift from a wait and react, curative discipline to a
preventative, interdisciplinary science aiming at providing personalized, systemic, and …
preventative, interdisciplinary science aiming at providing personalized, systemic, and …
Artificial intelligence in the imaging of diffuse lung disease
J Chan, WF Auffermann - Radiologic Clinics, 2022 - radiologic.theclinics.com
Health-care providers use imaging to characterize, quantify, and monitor diseases. There
have been many changes in the way in which radiologists interact with images during the …
have been many changes in the way in which radiologists interact with images during the …
Intelligence networking for autonomous driving in beyond 5G networks with multi-access edge computing
Artificial intelligence (AI)-powered autonomous vehicles (AVs) can integrate different
machine learning (ML) techniques to build up a complex autonomous driving system …
machine learning (ML) techniques to build up a complex autonomous driving system …
Rf genesis: Zero-shot generalization of mmwave sensing through simulation-based data synthesis and generative diffusion models
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 …
synthesizing RF sensing data using cross-modal diffusion models, in order to improve the …
Economic model predictive control for building HVAC system: A comparative analysis of model-based and data-driven approaches using the BOPTEST Framework
W Zheng, D Wang, Z Wang - Applied Energy, 2024 - Elsevier
Abstract Model Predictive Control (MPC) has demonstrated its capability to significantly
enhance energy efficiency while ensuring indoor comfort. This study focuses on the …
enhance energy efficiency while ensuring indoor comfort. This study focuses on the …
A multivariate-time-series-prediction-based adaptive data transmission period control algorithm for IoT networks
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 …
article proposes a multivariate-time-series-prediction-based adaptive data transmission …
Enlarging applicability domain of quantitative structure–activity relationship models through uncertainty-based active learning
The first step to develop a quantitative structure–activity relationship (QSAR) model is to
identify a set of chemicals with known activities/properties, which can be either collected …
identify a set of chemicals with known activities/properties, which can be either collected …
A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals
ME Samadi, J Guzman-Maldonado, K Nikulina… - Scientific reports, 2024 - nature.com
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 …
computational healthcare. Mortality risk stratification provides a standard to assist physicians …