Currently, the traffic speed prediction model based on deep learning has become a research hotspot in the field of transportation. With the rapid development of deep learning and the improvement of ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim, Jungil Kong, and Juhee Son In our recent paper, we propose VITS: Conditional Variational ...

Our results suggest that a deep learning model can estimate biological age from face photographs and thereby enhance survival prediction in patients with cancer. Further research, including validation ...

Machine learning (ML) approaches have become ubiquitous in the search for new materials in recent years. Bayesian optimization (BO) based on Gaussian processes (GPs) has become a widely recognized ...

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through a shared mathematical principle. These methods work by refining learned ...

In order to guarantee the security of transactions and preserve consumer confidence in the ubiquitous domain of online e-commerce, it is necessary to implement improved detection mechanisms. The ...