… automation and deep learning and reinforcement learning in artificial … to the energy intensive
equipment — Fused magnesium furnace. This … Demand forecasting of the fused magnesia …

… In the last decade, deep learning has been proved to be successful … deep learning models
showed their powerful learning abilities, such as Deep Convolutional Neural Network, Deep …

… ’s implementation of military-civil fusion in the cyber domain. … enhanced by the use of cyber
ranges in several ways. First, … more training data to feed machine learning (ML) models and …

… and randomness as complementary approaches to robotic … collaboration mechanism
based on information fusion［J］. … robot system based on reinforcement learning algorithm［J］. …

… The three most popular fusion methods are based on IHS, wavelet and contourlet transform.
The first one replaces the Intensity component (I) of multi-spectral image with panchromatic …

… Intelligence 2.0 Plan,” which focused on big data, intelligent sensing, cognitive computing,
machine learning, and swarm intelligence.… ’s initial approach to artificial intelligence has been …

… To test this prediction, we use three different approaches to capture the amount of political
… her earnings forecast on the level of change in ownership control of the merged firm by the …

… ways in which the computational resource “space” behaves the same as “time” and to ways
… eg, the total number of tasks executed) on complexity measures such as power consumption. …

… Chinese analysts cite the integration of new combat methods into … greater inclusion of
machine learning and autonomy.… a strategy of ‘military-civil fusion’ (军民融合).Nonetheless, these …

… improved through the achievement of military-civil fusion and … ‘The integration of AI,
machine learning, and big data … through a bottom-up approach, as the progress through a top…