Latest AI and machine learning research in work force for healthcare professionals.
In today's society, with the gradual improve5ment of material living standards, people are also more in pursuit of their own spiritual enjoyment. The study of piano has gradually become a way for people to enrich their spiritual life, and more and more people attach importance to it. In the field of piano teaching, the two-piano method is a unique form of playing the piano. In order to solve the p...
OBJECTIVE: As the storage of clinical data has transitioned into electronic formats, medical informatics has become increasingly relevant in providing diagnostic aid. The purpose of this review is to evaluate machine learning models that use text data for diagnosis and to assess the diversity of the included study populations.
BACKGROUND: Despite the dramatic increase in the use of medical imaging in various therapeutic fields of clinical trials, the first step of image qual...
Current segmentation practice for thoracic cancer RT considers the whole heart as a single organ despite increased risks of cardiac toxicities from ir...
Environmental variability often degrades the performance of algorithms designed to capture the global convergence of a given search space. Several app...
Task allocation is a fundamental requirement for multi-robot systems working in dynamic environments. An efficient task allocation algorithm allows th...
In the blast furnace ironmaking process, accurate prediction of silicon content in molten iron is of great significance for maintaining stable furnace...
The forces exerted by single cells in the three-dimensional (3D) environments play a crucial role in modulating cellular functions and behaviors close...
Over the last 20Â years, numerous technical innovations have been introduced to the histopathology laboratory, providing tools for improved standardiza...
The class distribution of a training dataset is an important factor which influences the performance of a deep learning-based system. Understanding th...
Embedded soft sensors can significantly impact the design and control of soft-bodied robots. Although there have been considerable advances in technol...
Combining experiments with artificial intelligence algorithms, we propose a machine learning based approach called wrinkle force microscopy (WFM) to e...
The research purpose is to study the standardization and scientizing of physical training actions. Stacking denoising auto encoder (SDAE), a BiLSTM de...
Alkaline soil is widely distributed in China. Its rational utilization is an effective measure to solve land shortage and improve the environment. Alf...
The two issues on dynamically generated hierarchical neural networks such as the sort of basic neurons and how to compose a layer are considered in th...
The outcomes of computational chemistry and biology research, including drug design, are significantly influenced by the underlying force field (FF) u...
Context: Qualitative research - crucial for understanding human behavior - remains underutilized, in part due to the time and cost of annotating quali...
This study aims to generate a deep learning algorithm-based model for quantitative prediction of financial losses due to accidents occurring at apartm...
The Autoprogressive (AutoP) method is a data-driven inverse method that leverages finite element analysis (FEA) and machine learning (ML) techniques t...
As a result of the fast rise of globalization, people in China are learning English at a rapid pace. However, there is a severe shortage of English te...