computational intelligenceflexible alternating current transmission systemgenerator excitation systemshigh‐voltage direct currentpower system engineeringsmart gridSmart grid is an important application area for
Biophysically detailed multi-compartment models are powerful tools to explore computational principles of the brain and also serve as a theoretical framework to generate algorithms for artificial intelligence (AI) systems. However, the expensive computational cost severely limits the applications in both th...
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence, including deep learning, have boosted the field of computational pathology. This field holds tremendous potential to automate clinical diagnosis, predict patient prognosis and response to therapy, and discover new ...
他带领的研究团队以计算智能技术协助台湾产业智能制造技术研发的成功创新绩效及产业技术突破等贡献,于2014年荣获IEEE Computational Intelligence Society极高评价(Highest Rank)的Winner。由于其学术表现受到国际人士的认同,担任IEEE Fellow评审委员会委员及评审委员。
Artificial intelligence and computational biology in gene therapy.DEGdifferentially expressed genes;PPIprotein–protein interaction;DNNdeep neural network;SVMsupport vector machines;PTphylogenetic tree;RFrandom forest Full size image Machine Learning One of the approaches to use artificial intelligence is machin...
Applied Computational Logic and Artificial Intelligence (ACLAI) Laboratory of the Department of Mathematics and Computer Science, University of Ferrara - Applied Computational Logic and Artificial Intelligence Laboratory
Artificial Intelligence and Computational NeuroSciences Lab has 16 repositories available. Follow their code on GitHub.
期刊简介:Computational Intelligence and Neuroscience《计算智能与神经科学》(一年1卷). Computational Intelligence and Neuroscience is a forum for the interdisciplinary field of neural computing, neural engineering and artificial intelligence, where neuroscientists, cognitive scientists, engineers, psychologists, phy...
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence, including deep learning, have boosted the field of computational pathology. This field holds tremendous potential to automate clinical diagnosis, predict patient
statistics, and artificial intelligence, and their applications in domains such as heuristics and optimization; bioinformatics, computational biology, and biomedical engineering; image and signal processing, VLSI, and embedded system design; network design; process engineering; social networking; and data mi...