Deep Learning-Based Multinational Banknote Type and Fitness Classification with the Combined Images by Visible-Light Reflection and Infrared-Light Transmission Image Sensors [PDF]
Automatic sorting of banknotes in payment facilities, such as automated payment machines or vending machines, consists of many tasks such as recognition of banknote type, classification of fitness for recirculation, and counterfeit detection.
Tuyen Danh Pham +3 more
doaj +4 more sources
Deep Learning-Based Banknote Fitness Classification Using the Reflection Images by a Visible-Light One-Dimensional Line Image Sensor [PDF]
In automatic paper currency sorting, fitness classification is a technique that assesses the quality of banknotes to determine whether a banknote is suitable for recirculation or should be replaced.
Tuyen Danh Pham +4 more
doaj +4 more sources
Brazilian Cardiorespiratory Fitness Classification Based on Maximum Oxygen Consumption [PDF]
Background: Cardiopulmonary exercise test (CPET) is the most complete tool available to assess functional aerobic capacity (FAC). Maximum oxygen consumption (VO2 max), an important biomarker, reflects the real FAC.
Artur Haddad Herdy, Ananda Caixeta
doaj +2 more sources
Discriminatory Capacity of Anthropometric Indicators and Physical Fitness Tests for Identifying Waist-to-Height Ratio-Defined Cardiometabolic Risk in Adolescents According to Sex and Biological Maturity [PDF]
Background/Objectives: Field-based health screening in adolescents requires accurate, non-invasive, and feasible diagnostic tools. This study evaluated the discriminatory capacity of anthropometric parameters and physical fitness tests for identifying ...
Victoria López-Lombó +5 more
doaj +2 more sources
Study and Evaluation of Spiking Neural Network Model Based on Bee Colony Optimization [PDF]
In order to improve the training ability of Spiking neural network,this paper takes multi-label classification problem as the research breakthrough point and adopts bee colony algorithm to optimize the model.There are many neural network models based on ...
MA Weiwei, ZHENG Qinhong, LIU Shanshan
doaj +1 more source
Level of Physical Fitness of Elementary School Students in Class V
The problem in this research is the lack of concentration of class V students at SDN 243 Palembang in participating in learning, developments in science and technology causing some students to be less active, and the level of physical fitness of class V
Ibagus Endrawan, Martinus Martinus
doaj +1 more source
Classification algorithm of loin swarm optimization kernel extreme learning machine
Based on the classification and application of the kernel based extreme learning machine(KELM),combined with the strong global optimization ability and fast convergence characteristics of the lion swarm optimization(LSO) algorithm, an LSO optimization ...
Liu Xinjian, Sun Zhonghua
doaj +1 more source
Fitness is important in people’s lives. Good fitness habits can improve cardiopulmonary capacity, increase concentration, prevent obesity, and effectively reduce the risk of death.
Kuan-Yu Chen +5 more
doaj +1 more source
Body mass index and physical fitness level of elementary school students
The fitness condition of elementary school students is of particular concern in general, as today's technological advances and sedentary lifestyles greatly affect body mass index and physical fitness.
Muhammad Akbar Husein Allsabah +2 more
doaj +1 more source
During the pandemic, online lectures are mandatory however, how can students' physical activity be maintained or not. The goal is that students who have good cardiorespiratory freshness are expected to have good endurance.
Yudabbirul Arif +3 more
doaj +1 more source

