Using Neural Networks to Detect Anomalies in X-Ray Images Obtained with Full-Body ScannersIn this paper, we solve the problem of
detecting anomalies in X-ray images obtained by full
Algebraic Model for Automated Detection of Human’s Fundus Morphometrical Characteristics Abnormal Changes
analysis for automatization of
detection of abnormal changes in morphometrical characteristics of human’s
Wavelet based approach to signal activity detection and phase picking: Application to acoustic emission, seismology, etc. The location problem relies heavily on the accuracy of arrival time
detection. To increase
Hairy black holes in theories with massive gravitons hole solutions in the
theories of ghost-free bigravity and massive gravity. Various black holes exist
MOTIVATING STUDENTS TO EDUCATIONAL AND SCIENTIFIC ACTIVITIES of motivation and the hierarchical
theory of needs is
detected.