Rogelio Florencia-Juarez

Rogelio Florencia-Juárez received the PhD degree in Computer Science from Tijuana Institute of Technology, Mexico, in 2016. He received the M.Sc. degree in Computer Science from Madero Institute of Technology, Mexico, in 2010. He is currently full-time Professor of the Software and Computer Systems Engineering at Universidad Autónoma de Ciudad Juárez, México and he is a member of the Mexican National System of Researchers (SNI) since 2019. His research interests are in the areas of natural language processing, knowledge representation machine learning and data analysis.

Publications

Handbook of Research on Natural Language Processing and Smart Service Systems
Handbook of Research on Natural Language Processing and Smart Service Systems
Rodolfo Abraham Pazos-Rangel, Rogelio Florencia-Juarez, Mario Andrés Paredes-Valverde, Gilberto Rivera. © 2021. 554 pages.
Natural language processing (NLP) is a branch of artificial intelligence that has emerged as a prevalent method of practice for a sizeable amount of companies. NLP enables...
Natural Language Interfaces to Databases: A Survey on Recent Advances
Natural Language Interfaces to Databases: A Survey on Recent Advances
Rodolfo A. Pazos-Rangel, Gilberto Rivera, José A. Martínez F., Juana Gaspar, Rogelio Florencia-Juárez. © 2021. 30 pages.
This chapter consists of an update of a previous publication. Specifically, the chapter aims at describing the most decisive advances in NLIDBs of this decade. Unlike many...
Use of Elephant Search Algorithm to Solve an Order Picking Problem in a Mobile Atelier
Use of Elephant Search Algorithm to Solve an Order Picking Problem in a Mobile Atelier
Rafael Jimenez, Rogelio Florencia, Vicente García, Abraham Lopez. © 2019. 12 pages.
Mobile ateliers, also called pop-up stores, sell their products away from their warehouse. Therefore, it causes them to go back to it once a product in their mobile store runs...
Improvement of the Optimization of an Order Picking Model Associated With the Components of a Classic Volkswagen Beetle Using an Ant Colony Approach
Improvement of the Optimization of an Order Picking Model Associated With the Components of a Classic Volkswagen Beetle Using an Ant Colony Approach
Jared Olmos, Rogelio Florencia, Francisco López-Ramos, Karla Olmos-Sánchez. © 2019. 22 pages.
Warehouse operations, specifically order picking process, are receiving close attention of researches due to the need of companies in minimizing operational costs. This chapter...
Design of an Order Picking Reduce Module Using Bat Algorithm
Design of an Order Picking Reduce Module Using Bat Algorithm
Rogelio Florencia, Julia Patricia Sanchez-Solis, Ivan Carvajal, Vicente García. © 2019. 15 pages.
These days the human factor is key to improving order picking processes. For example, in a line of processes to replace different parts of equipment or devices, it is necessary...