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Damage assessment using modeling of large-scale confined masonry building
(2018-12-12)The seismic behavior of a representative medium-rise building of Mexico City is evaluated using the capacity spectrum method. This method is widely used in the seismic assessment of buildings because it allows obtaining ... -
Data Augmentation Techniques for Facial Image Generation: A Brief Literature Review
(Springer, 2023-09-23)Image processing has gained notoriety over the last few years in performing various tasks through deep learning (DL) algorithms, such as face recognition and identity verification. Unfortunately, most of them require a ... -
Data Science Seaborn Library in Python
(2025-01-30)This video shows data visualization using the Seaborn library, which is widely used in Data Science. -
Data-Centric Solutions for Addressing Big Data Veracity with Class Imbalance, High Dimensionality, and Class Overlapping
(2024-07-04)An innovative strategy for organizations to obtain value from their large datasets, allowing them to guide future strategic actions and improve their initiatives, is the use of machine learning algorithms. This has led to ... -
Datos oculométricos durante tareas de programación de computadoras
(2020-12-31)En este documento se presentan los resultados del proyecto derivado de Retroalimentación implícita de relevancia de textos durante la búsqueda de información mediante eyetracking con registro CATHI RIPI2019IIT68. El reporte ... -
DE JUGADORES A PROGRAMADORES: PROTOTIPO DE JUEGO SERIO COMO HERRAMIENTA EDUCATIVA
(2025-04-30)Las industrias requieren cada vez más que las personas tengan conocimientos de programación. El objetivo fue desarrollar un prototipo de juego que introduzca a los jóvenes en la programación utilizando líneas de código de ... -
De la Industria al Territorio
(2025-10-28)Experiencias sobre participación de la Mujer en la Industria y Academia -
Dealing with Outliers in Wireless Sensor Networks Localization: An Iterative and Selection-Minimization Strategy
(2024-04-26)In recent years, there has been considerable interest in robust range-based Wireless Sensor Network (WSN) localization due to the increasing importance of accurately locating sensors in various WSN applications. However, ... -
Deep Learning to Classify Pulmonary Infectious Diseases
(CRC Press Taylor and Francis Group, 2024-02-01) -
Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19
(2022-06-23)The use of face masks in public places has emerged as one of the most effective non-pharmaceutical measures to lower the spread of COVID-19 infection. This has led to the development of several detection systems for ... -
Degradation modeling based on gamma process models with random effects
(2018-04-01)The random effects in a gamma process are introduced in terms of its scale parameter. However, the scale parameter affects both its mean and variance. Hence, the variation of the degradation rates and the within degradation ... -
Degradation modeling based on the gamma process with random initial degradation level and random threshold
(2023-01-08)The stochastic modeling of performance characteristics is an important approach for the quality assessment of products. As part of the stochastic modeling, it is possible to consider different variation sources such as ... -
Degradation modeling of 2 fatigue-crack growth characteristics based on inverse Gaussian processes: A case study
(2019-05-30)Most modern products that are highly reliable are complex in their inner and outer structures. This situation indicates quality characterization by the interaction of multiple performance characteristics, which motivates ... -
Degradation of Organic Dye Congo Red by Heterogeneous Solar Photocatalysis with Bi2S3, Bi2S3/TiO2, and Bi2S3/ZnO Thin Films
(2024-09-02)In this work, bismuth sulfide (Bi2S3) thin films were deposited by a chemical bath deposition (CBD) technique (called soft chemistry), while titanium dioxide (TiO2) nanoparticles were synthesized by sol–gel and zinc oxide ... -
Demand forecasting using KAN-RNN
(2025-08-01)In today’s highly competitive business environment, organizations continuously strive to maintain their competitiveness and achieve sustainable profit margins to support long-term growth and development. Accurate demand ... -
DEMAND PREDICTION IN INDUSTRY 4.0 THROUGH A TRANSFORMER-BASED ARCHITECTURE (PREDICCIÓN DE LA DEMANDA EN LA INDUSTRIA 4.0 EMPLEANDO UNA ARQUITECTURA BASADA EN TRANSFORMERS)
(2024-06-30)Given the changing circumstances faced by the industry today product demand is constantly influenced by several factors such as global economic conditions affected by wars, pandemics and recessions. For companies to cope ... -
Demostracion de proyectos de mecatronica e ingenieria
(2025-05-09) -
Demostracion de vehiculos tipo mini buggy
(2024-05-13)