A5082158340- Cancer survivorship and care
- Heart Rate Variability and Autonomic Control
- Impact of Technology on Adolescents
- Mobile Learning in Education
- Effects of Environmental Stressors on Livestock
- EEG and Brain-Computer Interfaces
- Hearing Impairment and Communication
- Innovative Teaching and Learning Methods
- Cardiac Health and Mental Health
- Urban Green Space and Health
- Child Development and Digital Technology
- Nutrition and Health in Aging
- Impact of Light on Environment and Health
- Hand Gesture Recognition Systems
- ECG Monitoring and Analysis
- Frailty in Older Adults
- Cancer-related cognitive impairment studies
- Genetic and phenotypic traits in livestock
- Iterative Learning Control Systems
- Lymphatic System and Diseases
- Animal Behavior and Welfare Studies
- Tactile and Sensory Interactions
- Evolutionary Algorithms and Applications
- Induction Heating and Inverter Technology
- Sensorless Control of Electric Motors
Polytechnic University of Queretaro
2024-2025
Universidad de Granada
2018-2020
Background Smartphone-based learning, or mobile learning (m-learning), has become a popular learning-and-teaching strategy in educational environments. Blended combines strategies such as m-learning with conventional to offer continuous training, anytime and anywhere, via innovative activities. Objective The main aim of this work was examine the short-term (ie, 2-week) effects blended method using traditional materials plus app—the iPOT app—on knowledge, motivation, mood state, satisfaction...
The study of dynamic models and their parameterization remains a relevant topic in research. Motors have been extensively analyzed, studied, parameterized using various techniques due to broad applicability motorering industrial settings. However, most methods for obtaining model parameters require at least two averaged signals from the motor, such as torque, current, speed, position, or acceleration. In this work, we propose motor’s only speed signal steady-state values variables. Through...
This research proposes implementing a system to recognize the static signs of Mexican Sign Language (MSL) dactylological alphabet using MediaPipe frame and Convolutional Neural Network (CNN) models correctly interpret letters that represent manual signals coming from camera. The development these types studies allows implementation technological advances in artificial intelligence computer vision teaching (MSL). best CNN model achieved an accuracy 83.63% over sets 336 test images. In...
Direct current motors are widely used in industry applications, and it has become necessary to carry out studies experiments for their optimization. In this manuscript, a comparison between heuristic metaheuristic algorithms is presented, specifically, the Steiglitz–McBride, Jaya, Genetic Algorithm (GA), Grey Wolf Optimizer (GWO) algorithms. They were estimate parameters of dynamic model that approximates actual responses angular velocity DC motor. The inverse Euclidean distance errors was...
This paper presents an intelligent system for the dynamic estimation of sheep body weight (BW). The methodology used to estimate is based on measuring seven biometric parameters: height at withers, rump height, length, diagonal total semicircumference abdomen, and girth. A parameter acquisition was developed using a Kinect as sensor. results were contrasted with measurements obtained manually flexometer. comparison gives average root mean square error (RMSE) 9.91 R2 0.81. Subsequently,...
Urban Heat Islands are a major environmental and public health concern, causing temperature increase in urban areas. This study used satellite imagery machine learning to analyze the spatial temporal patterns of land surface distribution Metropolitan Area Merida (MAM), Mexico, from 2001 2021. The results show that has increased MAM over period, while footprint expanded. also found high correlation (r> 0.8) between changes cover classes (urbanization/deforestation). If current urbanization...
Although healthcare and medical technology have advanced significantly over the past few decades, heart disease continues to be a major cause of mortality globally. Electrocardiography (ECG) is one most widely used tools for detection diseases. This study presents mathematical model based on transfer functions that allows exploration optimization dynamics in Laplace space using genetic algorithm (GA). The function parameters were fine-tuned GA, with clinical ECG records serving as reference...
<sec> <title>BACKGROUND</title> Smartphone-based learning, or mobile learning (m-learning), has become a popular learning-and-teaching strategy in educational environments. Blended combines strategies such as m-learning with conventional to offer continuous training, anytime and anywhere, via innovative activities. </sec> <title>OBJECTIVE</title> The main aim of this work was examine the short-term (ie, 2-week) effects blended method using traditional materials plus app—the iPOT app—on...