… these issues and reconstruct itself from the lost decade(s) with the use of artificial intelligence
(jinkou … This essay argues that the implementation and social integration of algorithms and …

… that have been successfully implemented in many FS applications. This study presents a new
… FS used in artificial intelligence, machine learning, image processing and data mining [31]. …

… will be implemented more efficiently. In … and artificial neural networks (ANNs) are developed
for each category. In the third stage, a model is developed to identify impact factors affecting …

… a systems biology approach to perform unbiased analysis of … We did not want to implement
the reductionist vision – one … using a systems biology and neural artificial intelligence-based …

… The technical environment of intelligent manufacturing includes basic research knowledge
such as advanced manufacturing, artificial intelligence, big data optimization decision-making…

… models are compared with fuzzy and artificial neural network approaches in order to obtain
… % of the reference values while artificial neural network and fuzzy inference system models …

… factors influencing IHCA risk. These models can seamlessly integrate into existing care
processes, improving patient safety without disrupting workflow. The TEWS and TEWS-X models …

… Based on an in-depth analysis of artificial intelligence theory … a model of the impact mechanism
of "intelligence+" on integrated … enterprises implement intelligent transformation, they can …

… ’s disease, we systematically reviewed the results achieved so … Thereafter, we systematically
review the previous studies … and discussing future directions for research implementation. …

… Furthermore, two systematic reviews of the literature concluded that regular participation in
moderate-intensity aerobic training (which typically implies exercise sufficient to elevate heart …