8th International Conference on Computing, Control and Industrial Engineering (CCIE2024)

This book collects selected aspects of recent advances and experiences, emerging technology trends that have positively impacted our world from operators, authorities, and associations from CCIE 2024, to help address the world's advanced computing, control technology, information technology, artificial intelligence, machine learning, deep learning, and neural networks. Meanwhile, the topics included in the proceedings have high research value and present current insights, developments, and trends in computing, control, and industrial engineering.

Presents current insights, developments, and trends in computing, control, and industrial engineering Features research in such areas as computer technology and theory, big data, and Internet Merges findings and knowledge from various domains for the purposes of computing and industrial engineering

Autorentext

Yuriy S. Shmaliy (Fellow, IEEE, AAIA, AIIA) received the B.S., M.S., and Ph.D. degrees in electrical engineering from Kharkiv Aviation Institute, Kharkiv, Ukraine, in 1974, 1976, and 1982, respectively, and the Dc.Sc. degree in electrical engineering from USSR Government, in 1992. Since 1986, he has been Full Professor. From 1985 to 1999, he was with Kharkiv Military University, Kharkiv, Ukraine. In 1992, he founded the Scientific Center Sichron and was Director by 2002. Since 1999, he has been with the Universidad de Guanajuato, Guanajuato, Mexico, and from 2012 to 2015, he headed the Department of Electronics Engineering in this University. He has 556 journal and conference papers and holds 81 patents. He has authored the books Continuous-Time Signals (Springer, 2006), Continuous-Time Systems (Springer, 2007), GPS-Based Optimal FIR Filtering of Clock Models (Nova Science Publications, 2009), and Optimal and Robust State Estimation: Finite Impulse Response (FIR) and Kalman Approaches (Wiley-IEEE Press, 2022). His widely used discrete orthogonal polynomials are named Discrete Shmaliy Moments, resulting in Discrete Shmaliy Transform. His unbiased FIR filter is widely used as a robust alternative to Kalman filter.