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Unsupervised Deep Learning Recurrent Model for Audio Fingerprinting 

Báez Suárez, Abraham (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 ...

Carbon nanoparticles by chemical vapor deposition to reduce the loss of energy by friction and the loss of material by abrasion and corrosion in borided steel 

Rosas Meléndez, Samuel Antonio (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11-12)
Significant losses of energy and material worldwide are produced by friction, abrasive wear, and corrosion. To modify the superficial properties of materials, some thermochemical treatments have been explored. In specific, ...

Implementation and comparison of prediction models in Periodic Disturbance Micromixer (PDM) 

Ocampo Silva, Ixchel (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-12-18)
In recent years, the use of micromixers to produce liposomes has increased in the research field. They are an economical alternative, helping reactants waste, and allowing control of liposomes size. However, micromixer ...
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Synthesis, characterization, and application of micro- and nanomaterials for the removal of organic contaminants from groundwater and wastewater 

Orona Návar, Carolina (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12-03)
The increasing presence of chemicals and pharmaceuticals in the aquatic environment represents a latent threat both to ecosystems and to human health. Conventional treatment methods for water hardly eliminate these pollutants, ...
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Analysis and use of textual definitions through a transformer neural network model and natural language processing 

Baltazar Reyes, Germán Eduardo (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-12-02)
There is currently an information overload problem, where data is excessive, disorganized, and presented statically. These three problems are deeply related to the vocabulary used in each document since the usefulness of ...
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Multi-sensory immersion to improve the user experience in the decision-making process 

Azofeifa Ugalde, Jose Daniel (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11-23)
In daily life, human beings interact with the real world in an intrinsic multi-sensory way, obtaining information and interacting through the use of various senses that allow them to perceive the environment. At a computational ...

Predicting the best sensor fusion method for recognizing human activity using a machine learning approach based on a statistical signature meta-data set and its generalization to other domains 

Aguileta Güemez, Antonio Armando (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-11)
Multi-sensor fusion refers to methods used to combine information from multiple (in some cases, different) sensors with the aim of making one sensor compensate for the weaknesses of others or to improve the overall accuracy ...
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On the relationship between the shape of the hydrograph and the topography of a basin using a physical model 

Del Río Castellanos, Alicia Alejandra (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12-16)
This work intended to establish the main relations between the topographic characteristics of the basin and the main parameters, like total runoff volume, peak flow, time to peak and base time, that determine the shape of ...

Building smart and sustainable societies through basic services provision 

Turrén Cruz, Thalia (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11-22)
This research introduces a Smart & Sustainable Societies (S3) Framework, based on what is necessary to achieve the UN agenda by 2030. The proposed model is based on the integration of three smart strategies: (1) water ...
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Metodología para la toma de decisiones multicriterio grupales bajo un enfoque práctico 

Castañeda Maya, Roberto (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-01-01)
El objetivo de la presente investigación es proponer una metodología para apoyar el proceso de decisiones grupales basadas en múltiples criterios. La metodología propuesta utiliza técnicas cuantitativas desarrolladas desde ...
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AuthorAguileta Güemez, Antonio Armando (1)ALVAREZ ICAZA LONGORIA , INÉS; 871170 (1)Alvarez-Icaza Longoria, Inés (1)Andrés Martínez, Oswaldo (1)Arévalo Torres, Bárbara (1)Azofeifa Ugalde, Jose Daniel (1)AZPILICUETA FERNANDEZ DE LAS HERAS, LEYRE; 736594 (1)BAEZ SUAREZ, ABRAHAM; 328083 (1)BALTAZAR REYES, GERMAN EDUARDO; 852898 (1)Baltazar Reyes, Germán Eduardo (1)... View MoreSubject
Technology (44)
CIENCIAS TECNOLÓGICAS (39)ANN (2)Artificial neural networks (2)Carbon nanotubes (2)Decision-Making Center (2)Deep Learning (2)Fuzzy logic (2)INGENIERÍA Y TECNOLOGÍA (2)Machine Learning (2)... View MoreTypeTesis Doctorado / doctoral Thesis (42)Trabajo de grado, Doctorado / doctoral Degree Work (2)... View MoreFormatTexto (42)texto (2)... View MoreDate Issued2023 (4)2022 (11)2021 (16)2020 (13)
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