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Sistema inteligente de diagnóstico de fallas en máquinas rotativas usando el enfoque de aprendizaje automático
Spindle failures diagnosis in high-speed machining centers is critical in manufacturing systems,
since early detection can save a representative amount of time and cost. The fault diagnosis
systems usually have two blocks: ...
Unsupervised Deep Learning Recurrent Model for Audio Fingerprinting
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-04-16)
Audio fingerprinting techniques were developed to index and retrieve audio samples by comparing a content-based compact signature of the audio instead of the entire audio sample, thereby reducing memory and computational ...
Prognosis using Deep Learning in CoViD-19 patients
Prognostics study the prediction of an event before it happens, to enable efficient critical decision
making. Over the past few years, it has gained a lot of research attention in many fields, i.e.
manufacture, economics, ...
A work on optimizers for binarized neural networks: a second order approach
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-11)
Optimization of Binarized Neural Networks (BNNs) relies on approximating the real-valued weights with their binarized representations. Current techniques for weight-updating uses the same optimizers as traditional Neural ...
LSTM Neural Networks for Remaining Useful Life Estimation of Turbofan Engines
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12-04)
Condition-based Maintenance is a maintenance strategy that monitors the actual condition of
a system to make predictive decisions whit respect to it. This type of maintenance includes detection, diagnosis, and prediction ...
Siamese neural networks for few-shot birdsong classification
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-06)
Bird vocalizations have been the focus of a wide variety of interdisciplinary studies in
bioacoustics and neuroethology since they serve as models of motor control, learning and
auditory perception. Yet, researchers have ...
Histopathological image classification using deep learning
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-11)
This thesis presents a study of digital pathology classification using and combining several techniques of machine learning and deep learning. Cancer is one of the most common causes of death around the world. One of the ...
A Deep Learning-based Algorithm for the Routing Problem in Vehicular Delay-Tolerant Networks
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-06-11)
The exponential growth of cities across the world has brought along important challenges such as waste management, pollution and overpopulation, and transportation administration. To mitigate these problems, the idea of ...
Detection of suspicious attitudes on video using neuroevolved shallow and deep neural networks models
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11)
The analysis of surveillance cameras is a critical task usually limited by the people involved in the video supervision devoted to such a task, their knowledge, and their judgment. Security guards protect other people from ...
Pre-diagnosis of diabetic retinopathy implementing supervised learning algorithms using an ocular fundus Latin-American dataset for cross-data validation
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-02)
Nowadays diabetes is a disease with worldwide presence and high mortality rate, causing a big social and economic impact. One of the major negative effects of diabetes is visual loss due to diabetic retinopathy (DR). To ...