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  4. Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT
 
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Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT

Journal
Studies in Big Data
ISSN
2197-6503
2197-6511
Publisher
Springer Cham
Date Issued
2024
Author(s)
Ponce, Hiram  
Facultad de Ingeniería - CampCM  
Brieva, Jorge  
Facultad de Ingeniería - CampCM  
Lozada Flores, Octavio  
Facultad de Ingeniería - CampCM  
Martinez-Villaseñor, Lourdes  
Facultad de Ingeniería - CampCM  
Moya-Albor, Ernesto  
Facultad de Ingeniería - CampCM  
Type
Resource Types::text::book
DOI
10.1007/978-3-031-54277-0
URL
https://scripta.up.edu.mx/handle/20.500.12552/11727
Abstract
This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others.
This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems. ©Springer. ©The authors. ©The editors
Subjects

Data Science for Indu...

Artificial Intelligen...

Technology Trends

Machine Learning for ...

Machine Learning Appl...

Data Science in Latin...

Applied Artificial In...

Data-driven Innovatio...

Business Innovation

Technology Industries...

Challenges and Trends...

Challenges and Trends...

Computational Intelli...

License
Acceso Restringido
How to cite
Data-Driven Innovation for Intelligent Technology. (2024). In H. Ponce, J. Brieva, O. Lozada-Flores, L. Martínez-Villaseñor, & E. Moya-Albor (Eds.), Studies in Big Data. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-54277-0
Table of contents
Contactless Video-Based Vital-Sign Measurement Methods: A Data-Driven Review / Jorge Brieva, Ernesto Moya-Albor, Hiram Ponce, Andrés Escobedo-Gordillo -- Enhancing STEAM in Education 4.0: A Review of Data-Driven Technological Improvements / David Escobar-Castillejos, Ari Yair Barrera-Animas, Octavio Lozada-Flores, Julieta Noguez -- State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications / Alexander Gelbukh, Muhammad Tayyab Zamir, Fida Ullah, Muzammal Ali, Taiba Taiba, Muhammad Usman et al. -- Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future / Karina Lucio Paniagua, Joaquina Niembro-Garcia -- From Project-Based Learning to Innovative Technologies in Mechatronics Course: A Case Study in a Private University in Mexico City / Hiram Ponce, Ernesto Moya-Albor, Jorge Brieva -- Critical Factors in the Participation of Women in Science, Technology, Engineering, and Mathematics -STEM- Disciplines in Mexico / Antonieta Martínez-Velasco, Antonia Terán-Bustamante, Lorena de La Torre-Díaz, Fernando José Menéndez González -- New Particle Swarm Optimizer Algorithm with Chaotic Maps for Combinatorial Global Optimization Problems. An Application to the Deconvolution of Mössbauer Spectra / Felix Martinez-Rios, Omar Jiménez-López, Luis Alejandro Alvarez Guillen -- Embedded Computer Vision for Agricultural Applications / Adán Medina Rosales, Pedro Ponce Cruz -- Ethical Design Framework for Artificial Intelligence Healthcare Technologies / Lourdes Martínez-Villaseñor, Hiram Ponce.

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