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Deep AI Integration: Manoj Bhoyar’s Visionary Blueprint for the Future of Artificial Intelligence

Image by Manoj Bhoyar In the ever-evolving world of artificial intelligence and machine learning, where innovation is ...
The Lancet

Deep learning algorithms for identifying developmental dysplasia of the hip based on sonographic images: a retrospective, prospective, multicenter study in China

aDepartment of Medical Ultrasonics, Affiliated Shenzhen Children's Hospital, College of Medicine, Shantou University, No. 7019 Yitian Road, Shenzhen, China bShenzhen University Medical School, ...

Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

From algorithms to intelligence: How AI is reshaping quantitative finance education

Artificial intelligence is revolutionising quantitative finance, enabling smarter trading through advanced models, feature engineering, and portfolio ...
IEEE

BLTOO-MFFL: Automated and Adversarially Robust Deep Learning for SAR Image Classification by Bi-Level Three-Objective Optimization and Multi-Feature Fusion Loss

Abstract: The deep learning-based synthetic aperture radar (SAR) image classification model is vulnerable to adversarial attacks. Although automated deep learning (ADL) including neural architecture ...
Frontiers

Plug-and-play low-rank tensor completion and reconstruction algorithms with improved applicability of tensor decompositions

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In this paper, we propose a new unified optimization ...
IEEE

Research on Improved Image Style Transfer Algorithms Based on Deep Learning

Abstract: This paper addresses common issues in deep learning-based image style transfer algorithms, such as high-frequency noise, low optimization efficiency, and susceptibility to local optima. We ...