A5045421340- Infant Health and Development
- Speech Recognition and Synthesis
- EEG and Brain-Computer Interfaces
- Speech and Audio Processing
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Blind Source Separation Techniques
- Advanced Multi-Objective Optimization Algorithms
- Intelligent Tutoring Systems and Adaptive Learning
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Neuroscience of respiration and sleep
- Innovative Teaching and Learning Methods
- Online Learning and Analytics
- Image Retrieval and Classification Techniques
- Neural dynamics and brain function
- Gaze Tracking and Assistive Technology
- VLSI and FPGA Design Techniques
- Advanced Chemical Sensor Technologies
- IoT-based Smart Home Systems
- Emotion and Mood Recognition
- Advanced Memory and Neural Computing
- Phonetics and Phonology Research
- Learning Styles and Cognitive Differences
National Institute of Astrophysics, Optics and Electronics
2015-2024
Centro Médico ABC
2017
Artistic Realization Technologies
2017
Optica
2010
Florida State University
2002
International Institute for Advanced Scientific Studies "Eduardo R. Caianiello"
2000
Instituto Tecnológico de Apizaco
2000
In an attempt to reduce the infection rate of COrona VIrus Disease-19 (Covid-19) countries around world have echoed exigency for economical, accessible, point-of-need diagnostic test identify Covid-19 carriers so that they (individuals who positive) can be advised self isolate rather than entire community. Availability a quick turn-around time would essentially mean life, in general, return normality-at-large. this regards, studies concurrent with ours investigated different respiratory...
This work presents an infant cry automatic recognizer development, with the objective of classifying two kinds cries, normal and pathological, from recently born babies. Extraction acoustic features is used such as MFCC (Mel Frequency Cepstral Coefficients), obtained Infant Cry Units sound waves, a genetic feature selection system combined feed forward input delay neural network, trained by adaptive learning rate back-propagation. For experiments, recordings Cuban Mexican babies are used,...
Evolutionary algorithms have gained popularity as an alternative for dealing with multi-objective optimization problems. However, these require to perform a relatively high number of fitness function evaluations in order generate reasonably good approximation the Pareto front. This can be shortcoming when are computationally expensive. In this paper, we propose approach that combines evolutionary algorithm ensemble surrogate models based on support vector machines (SVM), which used...
The present work presents the experiments performed with two kinds of ensembles to classify infant cry. ones selected for testing during presented are: a Boosting Ensemble Artificial Neural Networks and Support Vector Machines. design implementation as well some results are shown. aimed types pain - no hunger cries.
This paper presents a project on the development of cursor control emulating typical operations computer-mouse, using gyroscope and eye-blinking electromyographic signals which are obtained through commercial 16-electrode wireless headset, recently released by Emotiv. The position is controlled information from included in headset. clicks generated user's blinking with an adequate detection procedure based spectral-like technique called Empirical Mode Decomposition (EMD). EMD proposed as...