IEEE

A Global Adversarial and Local Contrastive Transfer Learning Approach for Remaining Useful Life Prediction

Abstract: The transfer learning method can effectively mitigate the reliance on an extensive amount of target-domain data for the construction of remaining useful life (RUL) prediction models. While ...
IEEE

Multi-Task Transfer Learning in Trajectory Tracking Control Problems using Iterative Learning Control

Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
VentureBeat

Building voice AI that listens to everyone: Transfer learning and synthetic speech in action

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Have you ever thought about what it is like ...
The Chronicle of Higher Education

Colleges Turn to AI to Fix the Disjointed Student-Transfer Process

Michelle Lohman isn’t a stranger to the transfer process. For three years, starting in 2008, she seesawed back and forth between Northampton Community College, in Pennsylvania, and four-year ...
GitHub

README.md

All of the course materials for the Zero to Mastery Deep Learning with TensorFlow course. This course will teach you the foundations of deep learning and how to build and train neural networks for ...
Frontiers

Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction

Introduction: Accurate prediction of joint torque is critical for preventing injury by providing precise insights into the forces acting on joints during activities. Traditional approaches, including ...
Frontiers

Next-generation approach to skin disorder prediction employing hybrid deep transfer learning

Introduction: Skin diseases significantly impact individuals' health and mental wellbeing. However, their classification remains challenging due to complex lesion characteristics, overlapping symptoms ...
News Medical

COMET model enhances disease prediction with deep learning

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...