… This study uses both federated learning and machine learning … learning is an innovative
approach to machine learning that allows multiple parties to collaborate on a machine learning …

… This paper mainly reviews the deep learning-based point cloud semantic segmentation
methods and their research status. This paper categories these deep learning-based methods …

… ), predictive analytics, and machine learning has ushered in a … the power of machine learning
algorithms to optimize farming … Furthermore, machine learning models provide predictive …

… This paper provides a comprehensive overview of the related fake news detection … news
detection techniques based on machine learning and deep learning, which have been widely …

… deep learning methods in the field of multimodal emotion recognition, this paper aims to present
comprehensive … modal emotion recognition literatures based on deep learning. First, the …

… machine learning, preserve privacy in machine learning, secure federated learning, etc. …
adopting traditional machine learning methods and existing deep learning solutions. Then, …

… His research interest covers computer vision and 3D human … Extensive experiments on a
large-scale public 3D shape … Our method combines reinforcement learning and deep learning, …

… Abstract: As a hot spot in machine learning, graph neural networks (GNN) … A comprehensive
survey on graph neural networks[J]. IEEE Transactions on Neural Networks and Learning …

… Deep reinforcement learning (RL), which uses neural network modeling in traditional RL …
To summarize, this paper presents an extensive survey of RL with the following contributions: 1. …

… different machine learning approaches, especially deep learning approaches in more different
agrometeorological tasks, and choose the most suitable machine learning technology for …