Using Artificial Intelligence to Gauge Competency on a Novel Laparoscopic Training System.

Objective: Laparoscopic surgical skill assessment and machine learning are often inaccessible to low-and-middle-income countries (LMIC). Our team developed a low-cost laparoscopic training system to teach and assess psychomotor skills required in laparoscopic salpingostomy in LMICs. We performed video review using AI to assess global surgical techniques.

Comparison of discriminant methods and deep learning analysis in plant taxonomy: a case study of Elatine.

Elatine is a genus in which, flower and seed characteristics are the most important diagnostic features; i.e. seed shape and the structure of its cover found to be the most reliable identification character.

Evaluation of Singer's Voice Quality by Means of Visual Pattern Recognition.

The article presents a description of the algorithm of singing voice quality assessment that uses selected methods from the field of digital image processing and recognition. It adopts the assumption that an audio signal with recorded vocal exercise can be converted into a visual representation, and processed further, as an image. Presented approach is based on generating a sound spectrogram of a sample in the form of a rectangular matrix, objective improvement of its visual quality based on local changes in brightness and contrast, and scaling to a fixed size.

"SmartMonitor"--an intelligent security system for the protection of individuals and small properties with the possibility of home automation.

"SmartMonitor" is an intelligent security system based on image analysis that combines the advantages of alarm, video surveillance and home automation systems. The system is a complete solution that automatically reacts to every learned situation in a pre-specified way and has various applications, e.g.