Innovative Applications in Smart Cities

ISBN-13: 9781032042565 / Miękka / 2023 / 268 str.

Opis

The book reviews different components of a Smart City in the context of diverse societies, deploy their resources and leverage their capabilities to achieve better performance of its various labor skills, marketing, social responsibility and management capacity.

Spis treści

Segmentation of mamogram mases for smart cities health systems. Serious Game for Caloric Burning in Morbidly Obesed Children. Intelligent application for the selection of the best fresh product according to its presentation and threshold of colors associated with its freshness in a comparison of issues of a counter in a shop of healthy products in a Smart City. Analyzing Mental Workload on Bus Drivers in the Metropolitan Area of Querétaro and its Comparative with another three Societies to Improve the Life in a Smart City. Multicriteria analysis of Mobile Clinical Dashboards for the monitoring of Type II diabetes in a Smart City. Electronic Colobliness diagnosis for the detection of color blindness and awareness in children using images with modified figures from the Ishihara test. An archetype of cognitive innovation as support for the development of cognitive solutions in Smart Cities. From Data Harvesting to Querying for Making Urban Territories Smart. Utilization of detection tools in a human avalanche occurred in a Rugby football stadium, using multi-agent systems. Humanitarian Logistics and the Problem of Floods in a Smart City. Simulating Crowds at A College School in Juarez, Mexico: A Humanitarian Logistics Approach. On the order picking policies in warehouses: algorithms and their behavior. Color, value, price and type Koi variant specie for the Aquaculture Industry and its continuous improvement using implicit technology and deep learning. Evaluation of a theoretical model for the measurement of technological competencies in the industry 4.0. Myoelectric systems in the era of Artificial Intelligence and Big Data. Implementation of an Intelligent Model based on Big Data and Decision Making using Fuzzy Logic Type-2 for the car assembly industry in an industrial estate in northern Mexico. Weibull Reliability Method for Several Fields Based Only on the Modeled Quadratic Form.

O autorze

Alberto Ochoa Ortiz-Zezzatti has been a member of the faculty at University of Ciudad Juárez, Mexico since 1995. He has conducted lectures on Artificial Intelligence in undergraduate and graduate programs, and has coordinated and participated in projects funded by the European Union and Brazil, addressing topics on Smart Cities. Currently, he is engaged in a project related to forest fires until 2027. He has mentored 67 PhD students, and since 2020 he has the profile Prodep for six years and the endorsement of National System of Scientists in Mexico level 2. He has been cited around a thousand times, and has received one of the highest RG scores at his university.

Genoveva Vargas-Solar (http://www.vargas-solar.com) is senior scientist at the French Council of Scientific Research (CNRS) in the Laboratory of Informatics on Images and Information Systems (LIRIS). She has been the deputy director the Franco-Mexican Laboratory of Informatics and Automatic Control (LAFMIA) an international research unit established at CINVESTAV since 2008. She is regular member of the Mexican Academia of Computing. In 2014 she obtained her Habilitation à Diriger des Recherches (HDR - tenure) from University of Grenoble, France and a PhD degree in Computer Science from the University Joseph Fourier, France (2000) and a PhD in Literature from Stendhal University, France (2005). In 1997 she obtained her first master’s degree in computer science at University Joseph Fourier and in 1998 she obtained her second master’s degree in Compared Literature at Stendhal University. She did her undergraduate studies on Computer Systems Engineering at Universidad de las Américas in Puebla, Mexico.

Her research interests in Computer Science lies in distributed and heterogeneous databases, reflexive systems and service-based database systems. She conducts fundamental and applied research activities for addressing challenges of different architectures ARM, raspberry, cluster, cloud, and HPC. She has coordinated several research projects in Europe and Latin America financed by governments and industrial partners. She actively promotes the scientific cooperation in Computer Science between Latin America and Europe particularly between France and Mexico.

Javier A. Espinosa Oviedo is a computer scientist specializing in the domains of databases and distributed systems. He currently works as postdoctoral researcher at the University of Lyon, France and is also an associate researcher of the French-Mexican Laboratory of Informatics and Automatic Control (UMI CNRS LAFMIA). Before this, he held research positions at the Delft University of Technology, the Barcelona Supercomputing Centre, and the Grenoble Informatics Laboratory. His current research interests are in big data, data-centric systems and cloud computing.

He obtained his PhD in Computer Science from the University of Grenoble in 2013, and his master and bachelor’s degree in Computer Science and Computer Systems Engineering, from UDLAP, in Mexico, in 2006 and 2008, respectively. He is fellow of the Mexican Academy of Computer Science (AMEXCOMP) and member of the Mexican National System of Researchers (SNI).