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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 ...
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
(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)
(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 ...
Synthesis, characterization, and application of micro- and nanomaterials for the removal of organic contaminants from groundwater and wastewater
(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, ...
Comparing the rheological behavior and the electrical properties of CNT-PP copolymer composites obtained by two compounding methods: direct addition and dilution of a masterbatch
Composites of multiwall carbon nanotubes (CNT) at 1, 2, and 3 wt.% on a propylene-ethylene random copolymer matrix were prepared by melt compounding CNT powder and by dilution of a commercial polypropylene masterbatch. ...
Multi-sensory immersion to improve the user experience in the decision-making process
(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
(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 ...
On the relationship between the shape of the hydrograph and the topography of a basin using a physical model
(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
(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 ...
Predicción de esfuerzos residuales y deformaciones resultantes en partes moldeadas por inyección mediante análisis numérico
Actualmente, el moldeo por inyección es en uno de los procesos de fabricación más importantes
para la producción en masa de productos termoplásticos. Sin embargo, las altas temperaturas y presiones que intervienen en el ...