Latest AI and machine learning research in autism for healthcare professionals.
Transfer learning has attracted more attention in the machine-learning community recently. It aims t...
Mental disorders present a global health concern, while the diagnosis of mental disorders can be cha...
This paper uses neural network as a predictive model and genetic algorithm as an online optimization...
This work introduces a new socially assistive robot termed MARIA T21 (meaning "Mobile Autonomous Rob...
With the development of neural network technology and the rapid growth of China's tourism economic i...
Aiming at the problems existing in the traditional teaching mode, this paper intelligently optimizes...
Among an assortment of genetic variations, Missense are major ones which a small subset of them may ...
Genetic data have become increasingly complex within the past decade, leading researchers to pursue ...
In view of the growth of clinical risk prediction models using genetic data, there is an increasing ...
Products no longer exist simply as carriers of useful functions, but more and more consumers are beg...
Background The promise of precision population health includes the ability to use robust patient dat...
This editorial comment refers to the article: "Diagnosing autism spectrum disorder in children using...
Stem/progenitor cell transplantation is a potential novel therapeutic strategy to induce angiogenesi...
The prediction of gross domestic product (GDP) is a research hotspot, and its importance is self-evi...
Computer-aided composition is an attempt to use a formalized process to minimize human (or composer)...
In the present study, 30 potential germplasm of oat ( L.) were subjected to proximate, elemental, an...
In the context of economic globalization and digitization, the current financial field is in an unpr...
Federated learning (FL) is a distributed model for deep learning that integrates client-server archi...
With the continuous application of the art industry in various fields, more and more people choose t...
Connected autonomous vehicles can leverage communication and artificial intelligence technologies to...
Behavioral phenotyping devices have been successfully used to build ethograms, but many aspects of b...