… Whereas Section III discusses fuzzy logic-based medical diagnosis, Section IV and
Section V present diagnostic systems using machine learning and deep learning algorithms, …

… In the second step, twenty-three supervised artificial intelligence algorithms have been … In
this work, an experimental evaluation of the twenty-three intelligent classification methods has …

… Increasingly, algorithms are … of algorithms powered by Artificial Intelligence (Q-learning) in
a workhorse oligopoly model of repeated price competition. We find that the algorithms consis…

… of a region by using four different artificial intelligent algorithms: linear regression, multilayer
… appropriate algorithm to estimate sustainability indicators. M5P was the algorithm obtaining …

… overview of machine learning principles, algorithms, descriptors, … limitations of the machine
learning algorithms to crystallization … some popular machine learning algorithms applied to …

… ■ To conduct external testing of the performance of artificial intelligence (AI) algorithms more
… for evaluating the performance of AI algorithms, and sound methodological knowledge is …

… As with any other medical devices or technologies, the importance of thorough clinical
validation of AI algorithms before their adoption in clinical practice through adequately …

… the comparison between algorithms and thereby the … artificial intelligence algorithms for
the classification of melanocytic images with that performed by dermatologists. The algorithm …

… artificial intelligence (AI) algorithms are developed to predict water quality index (WQI) and
water quality classification (WQC). For the WQI prediction, artificial … ) deep learning algorithm, …

Countries around the world are increasingly investing in artificial intelligence (AI) to automate
military tasks that traditionally required human involvement. Despite growing interest in AI-…