Kun Jiang

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Authentication and Resource Allocation Strategies during Handoff for 5G IoVs Using Deep Learning

Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review

Improved Metaheuristic-Driven Energy-Aware Cluster-Based Routing Scheme for IoT-Assisted Wireless Sensor Networks

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach

Attacks and defences on intelligent connected vehicles: a survey

A Novel Algorithm for Imbalance Data Classification Based on Genetic Algorithm Improved SMOTE

A deep capsule neural network with stochastic delta rule for bearing fault diagnosis on raw vibration signals

Intelligent and connected vehicles: Current status and future perspectives