Description

Book Synopsis
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
Preface; The Features of Controlled Conductive Electric Current Treatment of Liquid Metals; Analysis of Intensified Distillation Systems through Computational Fluid Dynamics; Machine Learning Accelerating Emerging Memory and Computing Device Discovery; An Application of Different Approaches to Missing Data for Electric Load Forecasting by Using an Advanced Gene Expression Programming Algorithm; Index.

Advances in Engineering Research: Volume 44

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    A Hardback by Victoria M. Petrova

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      Book details

      Publisher Nova Science Publishers Inc
      Published 3 August 2021
      ISBN-13 9781536199505
      978-1536199505
      ISBN-10 1536199508
      Also in:
      Technology, Engineering & Agriculture Engineering: general

      Description

      Book Synopsis
      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
      Preface; The Features of Controlled Conductive Electric Current Treatment of Liquid Metals; Analysis of Intensified Distillation Systems through Computational Fluid Dynamics; Machine Learning Accelerating Emerging Memory and Computing Device Discovery; An Application of Different Approaches to Missing Data for Electric Load Forecasting by Using an Advanced Gene Expression Programming Algorithm; Index.

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