SVM directed machine learning classifier for human action recognition network.

Understanding human behavior and human action recognition are both essential components of effective surveillance video analysis for the purpose of guaranteeing public safety. However, existing approaches such as three-dimensional convolutional neural networks (3D CNN) and two-stream neural networks (2SNN) have computational hurdles due to the significant parameterization they require. In this paper, we offer HARNet, a specialized lightweight residual 3D CNN that is built on directed acyclic graphs and was created expressly to handle these issues and achieve effective human action detection.

Evaluation of injectable platelet-rich fibrin effect on the rate of canine retraction and alkaline phosphatase levels: An in-vivo study.

Introduction: With time, the treatment protocol has changed, and currently, there is a new school of treatment called accelerated orthodontics, wherein the goal is to shorten the time. In this study, a liquid formulation of platelet-rich fibrin such as injectable platelet-rich fibrin (i-PRF), was used, and its effect on the rate of canine retraction and the crevicular alkaline phosphatase (ALP) levels were studied.

Methods: Thirteen patients were recruited for this study with a mean age of 20.

A technique for quantifying the sensitivity of dosimetric tool gamma with 2D detector array in pretreatment IMRT plans by segment deletion method.

Objectives: Motivation of this study is to check the sensitivity of dosimetric tool gamma with 2D detector array combination when unexpected errors occur while transferring intensity-modulated radiation therapy treatment plans from planning system to treatment unit.

Methods: This study consists of 17 head and neck cancer patient's treatment plans. Nine types of verification plans are created for all 17 clinically approved treatment plans by consecutively deleting different segments (up to eight) one by one from each field of the plan.