IEEE

Fault Detection and Identification of Underwater Thruster Without Fault Sample Based on Adversarial Variational Autoencoder

Abstract: This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE). Adversarial training and variational ...
Frontiers

PMJDM: a multi-task joint detection model for plant disease identification

Shandong Province University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Weifang, China Introduction: Plant disease detection is critical for ensuring ...
IEEE

Revolutionizing Skin Cancer Detection: Leveraging Machine Learning and Deep Learning for Precise Lesion Identification

Abstract: Skin Cancer is one of the most prevalent and deadly malignancies, particularly the melanoma. Early identification of the disease is essential for enhanced healthcare support. Current ...