Search
Now showing items 1-10 of 10
Stacked sparse autoencoder base frameworks for tool condition monitoring
Tool condition monitoring systems in High Speed Machining (HSM) are of great importance
to maintain the quality of the products and diagnose the useful life of the tools. These systems are
highly demanded for the suppliers ...
Defect detection with predictive models in the galvanizing process
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12-04)
In the steel industry, having better control over the final mechanical properties of the steel coils is something highly desired by companies, as this would allow them to reduce the number of defective products they ...
Machine learning and cox based benchmarking tool: exploration of survival models associated with chronic degenerative diseases
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-04-30)
the present work reports the exploration of the CoxBenchmarking function applied to chronic-degenerative disease datasets associated with survival. CoxBenchmarking implementation is a computer-based benchmarking algorithm ...
Machine learning techniques for automatic evaluation and classification of pronunciation level of speakers in language practise platforms
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020)
Speaking evaluation implies areas such as pronunciation, fluency, structure, and vocabulary. The present research work focuses on automatic pronunciation evaluation. We propose a supervised Machine Learning method to ...
Predicting drug Responses in cancer cells using genomic features and machine learning
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-05)
This document presents an analysis for the prediction drug responses in cancer cells using cancer genomic features and machine learning for the Master’s Degree in Computational Sciences at Instituto Tecnologico y de Estudios ...
Estudio exploratorio para determinar el estilo de manejo y su efecto en el consumo de energía en vehículos eléctricos, aplicando algoritmos de inteligencia artificial
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-05-04)
Este documento presenta la síntesis de una investigación sobre el estilo de manejo y cómo este influye en la autonomía de vehículos eléctricos, mostrando por medio de gráficos la relación existente entre el tipo de conducción ...
Vision system for quality inspection of automotive parts based on non-defective samples
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-06-11)
Nowadays, companies in the automotive industry focus on delivering high-quality products to their customers, however, this task tends to be more complex as new car models emerge because new quality requirements must be ...
Detection of epileptic seizures through brain waves analysis using Machine Learning algorithms.
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11-17)
Electroencephalogram(EEG) is an effective and non-invasive technique commonly used for monitoring brain activity. EEG readings are analyzed to determine changes in brain activity that may be useful for diagnosing neurological ...
Virtual and auditory reality to characterize emotion regulation based on psycho-physiological pattern recognition
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021)
Emotions play an essential role in everyday life, as they are involved in every event that a human being may experience. The literature review shows that a poor ability to manage emotions could be a critical factor in ...
Modeling the relationship between the gut microbiome and progressive neurodegenerative diseases: case study Alzheimer’s disease
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-05-26)
Alzheimer’s Disease (AD) has been known since 1906 and many of the symptoms and signs from the first case continue in the conceptualization of AD, such as memory loss, visuospatial disorders, impaired verbal communication, ...