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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 ...
Attention YOLACT++: achieving robust and real-time medical instrument segmentation in endoscopic procedures.
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-04)
Image-based tracking of laparoscopic instruments via instance segmentation plays a fundamental role in computer and robotic-assisted surgeries by aiding surgical navigation and increasing patient safety. Despite its crucial ...
The identification of DoS and DDoS attacks to IoT devices in software defined networks by using machine learning and deep learning models
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-05)
This thesis project explores and improves the current state of the art about detection techniques for Distributed Denial of Service (DDoS) attacks to Internet of Things (IoT) devices in Software Defined Networks (SDN), ...
Caption generation with transformer models across multiple medical imaging modalities
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-06)
Caption generation is the process of automatically providing text excerpts that describe relevant features of an image. This process is applicable to very diverse domains, including healthcare. The field of medicine is ...