… In considering its “defend forward” mission,2 the US … , as the offensive techniques and tools
used on those networks … feed machine learning (ML) models and aid in their development.…

… Engineering has proposed an “Artificial Intelligence 2.0 Plan,” which focused on big data,
intelligent sensing, cognitive computing, machine learning… plan for the development of artificial …

In recent years, deep learning has been widely used in many pattern recognition tasks
including image classification and speech recognition due to its excellent performance. But a …

… Lip reading is an important issue in the field of computer vision and pattern recognition. It
has a wide range of applications in the fields of public security, medical, defense military and …

… LiDAR (Light Detection And Ranging) is an active remote sensing system that uses the
near-… is a machine learning technology widely applied in multilayer feed forward network. …

A novel time-span input neural network was developed to accurately predict the trend of the
main steam temperature of a 750-t/d waste incineration boiler. Its historical operating data …

… This paper will state the different machine learning applications expected to run the
machine learning ventures. The … In machine learning forward words, ML is a sort of man-made …

… and threat in IoT applications. The different solution approach using machine learning, fog
… identified the necessary Infrastructure, Protocol, Application of the IoT system. Then security …

… AI evaluation, such as neighborhood surveys, is being used to derive valuable data and
insights from data obtained by smart objects, focusing on which various applications of CPS can …