Objective: To provide an overview of ML models and data streams utilized for automated
surgical phase recognition. Background: Phase recognition identifies different steps and …

Background: Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …

Adopting new metals 3D printers introduces time and cost obstacles to printing parts with the
same quality as was attained on existing printers. A large number of trial-and-error …

It is natural and efficient to use human natural language (NL) directly to instruct robot task
executions without prior user knowledge of instruction patterns. Currently, NL-instructed …

Natural-language-facilitated human–robot cooperation refers to using natural language to
facilitate interactive information sharing and task executions with a common goal constraint …

At the present time, training of personnel in the field of mining and metallurgy production
automation is an important area in the system of higher engineering education. The Chair of …

Background: Since its inception, artificial intelligence has aimed to use computers to help
make clinical diagnoses. Evidence-based medical reasoning is important for patient care …

In recent years, with the advancement of deep learning technology, visual object tracking
has developed rapidly. However, the real world is complex and changeable, and the CNN …

Natural-language-facilitated human-robot cooperation (NLC), in which natural language
(NL) is used to share knowledge between a human and a robot for conducting intuitive …

Learning from demonstration (LfD) assists robots to derive a policy from a training set to
execute a task. The training set consists of training demonstrations collected from a human …