Activity recognition in sports is often complex task resulting from the rapid dynamic interaction within players.In this paper, pre-trained VGG-16, deep learning based hockey activity recognition model has been proposed.Own hockey dataset wickelfalzrohre consisting of four main activity includes free hit, goal, penalty corner and long corner was co
Specific results of effects of investment activities are expressed through effectiveness and reliability of a production process, or business system operations.Investment activities are implemented and verified through a certain decision-making matrix - the model of influence.Corrective effect of implementation of investment activities on effective
Background and Aim: Nowadays, lots of women defer child bearing even until the age 40 due to the job, economy and education reasons.Therefore, protecting mothers and new-born babies health requires experts and midwifes to increase their knowledge about the outcome of such pregnancies.This study aims at comparing the outcome of the pregnancy in null
Aims: To evaluate radiographically, the presence or absence of nutrient canals in controls and patients with periodontal diseases, and to correlate the number of nutrient canals 15-eg1053cl with severity of bone loss.Materials and methods: A total number of 1000 patients were enrolled, in that 500 patients were of study group and 500 of control gro
This study introduces a novel controller based on a Reinforcement Learning (RL) algorithm for real-time adaptation of the stimulation pattern during FES-cycling.Core to our approach is the introduction of an RL agent that interacts with the cycling environment and learns through trial and error how to modulate the electrical charge applied to the s