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Exploring Psychology, Social Innovation and Advanced Applications of Machine Learning [Multiple-component retail product]

  • Formāts: Multiple-component retail product, 526 pages, height x width: 279x216 mm, Contains 1 Hardback and 1 Digital (delivered electronically)
  • Izdošanas datums: 06-Mar-2025
  • Izdevniecība: Information Science Publishing
  • ISBN-13: 9798369369142
Citas grāmatas par šo tēmu:
  • Multiple-component retail product
  • Cena: 431,85 €
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Exploring Psychology, Social Innovation and Advanced Applications of Machine  Learning
  • Formāts: Multiple-component retail product, 526 pages, height x width: 279x216 mm, Contains 1 Hardback and 1 Digital (delivered electronically)
  • Izdošanas datums: 06-Mar-2025
  • Izdevniecība: Information Science Publishing
  • ISBN-13: 9798369369142
Citas grāmatas par šo tēmu:
Jesus Heriberto Orduńo-Osuna received his B.Sc. in Mechatronics Engineering from the Universidad Politécnica de Baja California (UPBC) in 2020 and his M.Sc. in Computational Sciences and Applied Mathematics from Universidad Internacional de La Rioja, Mexico (UNIR Mexico) in 2024. His professional experience spans the Post-Harvest Automation and manufacturing sectors, where he has specialized in automation processes, vision systems, and industrial robotics. Currently, he works as a part-time lecturer at Universidad Politécnica de Baja California, where he teaches courses related to Mechatronics, Manufacturing, Energy Systems, and Computer Science. His teaching is complemented by his active research interests in Machine Learning, Automation and Control of Industrial Processes, Microcontrollers, and Digital Signal Processing (DSP), areas in which he seeks to advance the integration of intelligent systems in industrial applications. Abelardo Mercado-Herrera is a Doctor of Science and Master of Science from the National Institute of Astrophysics, Optics and Electronics, specializing in Astrophysics, Postdoctorate in Astrophysics from the Institute of Astronomy of the National Autonomous University of Mexico, Electronics Engineer from the Autonomous University of Baja California . He is a specialist in the mathematical-statistical description of stochastic and/or deterministic processes, nonlinear systems, complex systems, chaos theory, among others, as well as their application to physical phenomena such as astronomy, economics, finance, telecommunications, science social etc., in order to determine the underlying dynamics in such processes, and if necessary, their connection with real physical variables and possible prediction. He has worked on the development of various electronic circuits, interfaces and programs to carry out electrical tests in the industry, as well as in scientific instrumentation, applied to telemetry, infrared polarimetry, optics and spectroscopy. He has also specialized in image analysis, measurement techniques and noise reduction. Fabian N. Murrieta-Rico received B.Eng. and M.Eng. degrees from Instituto Tecnológico de Mexicali (ITM) in 2004 and 2013 respectively. In 2017, he received his PhD in Materials Physics at Centro de Investigación Cientķfica y Educación Superior de Ensenada (CICESE). He has worked as an automation engineer, systems designer, as a university professor, and as postdoctoral researcher at Facultad de Ingenierķa, Arquitectura y Diseńo from Universidad Autónoma de Baja California (UABC) and at the Centro de Nanociencias y Nanotecnologķa from Universidad Nacional Autónoma de México (CNyN-UNAM), currently he works as professor at the Universidad Politécnica de Baja California. His research has been published in different journals and presented at international conferences since 2009. He has served as reviewer for different journals, some of them include IEEE Transactions on Industrial Electronics, IEEE Transactions on Instrumentation, Measurement and Sensor Review. His research interests are focused on the field of time and frequency metrology, the design of wireless sensor networks, automated systems and highly sensitive chemical detectors.