… In this review, various clustering, optimization, and machine learning methods used in cloud
… methods and optimization techniques are widely applied in energy management due to …

… shift in optimization of site-specific management. We develop a machine learning algorithm
that enables farmers to efficiently learn their own site-specific management through on-farm …

… group of machine learning methods (ie simple and optimized ANNs) was investigated, and
the rest will be evaluated in this section. The main groups of machine learning methods apart …

Recent years have seen an unprecedented growth of data traffic driven by a continuous
increase of connected devices and new applications. This trend will tend to saturate transparent …

We conducted a systematic review of literature to better understand the role of new technologies
in the perioperative period; in particular we focus on the administrative and managerial …

… and management using machine learning optimization … , including optimization methods
such as deep learning and … of cloud computing resource management.Rational allocation of …

… management. In order to study the improvement in supply chain efficiency management,
supported by machine learning … chain risk management model based on learning and neural …

… generalizable optimization and machine learning approach … Specifically, we use machine
learning to estimate the … event simulation to compare our optimized schedule to the existing …

… power consumption, this paper uses machine learning method to calculate the storage …
Next a scheduling model was established to optimize the difference between the forecast …

… the application of machine learning in optimization by challenging machine learning models
to generate the solutions achieved from solving complex stochastic optimization models. …