2 天前 - … Furthermore, it aims to provide engineers and researchers with help in choosing
appropriate machine learning algorithms for UBC prediction, thereby improving the precision …

2 天前 - … In the field of surgical data science (SDS), artificial intelligence (AI)-based decision
… research in the field of graph machine learning. These include the recurrent architectures …

2 天前 - … Machine Learning and Artificial Intelligence play a significant part in healthcare and
other relevant fields. Deep Learning … of Machine Learning and Deep Learning algorithm. …

2 天前 - … Machine learning Mask region-based convolutional neural network model was
trained with color images and the position of the object is determined by the depth image. A dual …

2 天前 - … Considering the progress in Artificial Intelligence, it is … environments by incorporating
machine learning methods and … is made possible by machine learning algorithms, which …

2 天前 - … and after self-healing under three machine learning models (the decision tree, SVM,
and … such as healthcare monitoring, human-computer interaction, and artificial intelligence. …

2 天前 - … in artificial intelligence (AI) and machine learning give new moral … artificial minds
may not resemble biological brains, nor any anthropocentric notion of sentience or intelligence, …

2 天前 - … of artificial intelligence (AI) in radiology. These conversations have collected
viewpoints from multidisciplinary experts in radiology, medical imaging, and machine learning on …

2 天前 - … to learn similar capabilities within machine learning models, thereby narrowing the
gap between human intelligence and artificial intelligence. Through three main contributions…

2 天前 - Abstract Machine Learning (ML) has rapidly transitioned from a niche activity to a
mainstream tool for environmental research applications including atmospheric science cloud …