Qualitative & Quantitative Analysis (Ultra-Fast Gas Chromatography) - Kumar, Santosh
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This book covers the Pattern recognition analysis using the qualitative as well as quantitative study. This book will be very useful for the young researchers and scientists of the field of data analysis and samples classification. Aromatic data is collected using ultra-fast gas chromatic (UFGC) instrument and then the data is analyzed using different statistical approach and the result is compared with the quantitative data as well as the GC data gives the quantitative values as well. Approaches used in this book are principal component (PCA) analysis, support vector machine (SVM) analysis,…mehr

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Produktbeschreibung
This book covers the Pattern recognition analysis using the qualitative as well as quantitative study. This book will be very useful for the young researchers and scientists of the field of data analysis and samples classification. Aromatic data is collected using ultra-fast gas chromatic (UFGC) instrument and then the data is analyzed using different statistical approach and the result is compared with the quantitative data as well as the GC data gives the quantitative values as well. Approaches used in this book are principal component (PCA) analysis, support vector machine (SVM) analysis, box plot method, radar plot/spider plot cluster analysis. Available substances and their quantitative data is provided here according to the UFGC system for each type of analysis used in this experiment. In addition to this, it also gives information about various data pre-processing techniques and supervised as well as unsupervised methods. The author's main idea is to provide an experimental as well as an scientific approach to the new researchers as well as to the scientific community. Definitely, this book will provide a road map and will be the case study to the advanced researchers.
Autorenporträt
Dr. Santosh Kumar is Associate Professor in the Department of Mechanical Engineering, Chandigarh Group of Colleges Landran Mohali Punjab, India. He has 10 years of teaching and research experience. He completed his Ph.D in Mechanical Engineering in 2021. He received Award of Excellence 2022 at the Chandigarh Group of Colleges Landran Mohali Punjab.