Advances in Engineering Research. Volume 44


Victoria M. Petrova (Editor)

Series: Advances in Engineering Research

BISAC: TEC000000

This book compiles various recent advancements in engineering research. Chapter One deals with the important research problem of electric current processing and treatment of melts for increasing quality indicators of the produced castings. Chapter Two describes the use of computational fluid dynamics techniques to assess and design intensified distillation systems. Chapter Three examines machine learning opportunities for emerging memory and computing devices discovery. Lastly, Chapter Four details a case study in which an application of different approaches to missing data for short-term electric load forecasting by using an advanced gene expression programming algorithm is comprehensively introduced.


Table of Contents


Chapter 1. The Features of Controlled Conductive Electric Current Treatment of Liquid Metals
(Zaporozhets Y.M., Ivanov A.V., Kondratenko Y.P. and Tsurkin V.M. – Institute of Pulse Processes and Technologies of National Academy of Sciences of Ukraine, Mykolaiv, Ukraine, et al.)

Chapter 2. Analysis of Intensified Distillation Systems through Computational Fluid Dynamics
(Mario Alberto Rodríguez-Ángeles, Fernando Israel Gómez-Castro, and Mayra Margarita May-Vázquez – Departmento de Ingeniería en Plásticos, Universidad Politécnica de Juventino Rosas, Santa Cruz de Juventino Rosas, Guanajuato, Mexico, et al.)

Chapter 3. Machine Learning Accelerating Emerging Memory and Computing Device Discovery
(Xiaobin Wang and Ying Gu – Ingredients LLC, Chanhassen, Minnesota, US)

Chapter 4. An Application of Different Approaches to Missing Data for Electric Load Forecasting by Using an Advanced Gene Expression Programming Algorithm
(Kasım Zor and Özgür Çelik – Department of Electrical and Electronic Engineering, Adana Alparslan Türkeş Science and Technology University, Adana, Turkey)


Additional information