… existing network security. As a frontier technology of machine learning and artificial intelligence,
deep learning … a new idea for solving the current intrusion detection problem. This paper …

… have been widely used in military and scientific research, as well as various industries; …
neural network (NN) pattern recognition/machine learning algorithms are compared in this review…

… detection and recognition; the second is convolutional neural network based on deep learning.
… paper introduces the research status of detecting and identifying moving objects at sea. …

… of various machine learning algorithms, non-intrusive load monitoring has … research on
non-intrusive load monitoring. First, the mathematical model and basic framework of non-intrusive …

… and theoretical research progresses of interval type-2 fuzzy systems, … machine learning.
Finally, it points out several future research directions on interval type-2 fuzzy sets and systems. …

… Many scholars have conducted a great deal of research on deep learning. This paper
introduces the related concepts of deep learning, concise summary of the relevant work based on …

… muti-domain network (MDNet), fast deep learning for aircraft tracking (FDLAT) algorithm is
proposed to track aircraft target. This algorithm uses feature-based transfer learning to make …

… The imbalance of sample data is common in industrial system, … machine learning algorithms
and deep learning methods, such as Naive Bayes (NB) and Convolutional Neural Networks (…

Topic classification has wide applications in content searching and information filtering. It can
be divided into two core parts: text embedding and classification modeling. In recent years, …

… for AI and using AI to plan attacks on computer networks.… training data to feed machine
learning (ML) models and aid in their development.The progress and value of such research …