Arindam Bit – författare

Food, Medical, and Environmental Applications of Polysaccharides provides a detailed resource for those interested in the design and preparation of polysaccharides for state-of-the-art applications. The book begins with an introductory section covering sources, chemistry, architectures, bioactivity, and chemical modifications of polysaccharides. Subsequent parts of the book are organized by field, with chapters focusing on specific applications across food, medicine, and the environment. This is an extremely valuable book for researchers, scientists, and advanced students in biopolymers, polymer science, polymer chemistry, biomaterials, materials science, biotechnology, biomedical engineering, cosmetics, medicine, food science, and environmental science.

This important class of biopolymer can offer attractive properties and modification potential, enabling its use in groundbreaking areas across food, medical, and environmental fields. The book will be of interest to scientists, R&D professionals, designers, and engineers who utilize polysaccharide-based materials.

Presents comprehensive information of the polymeric structures and properties that can be developed from polysaccharides Offers systematic coverage of classification, synthesis, and characterization, enabling targeted design and preparation of polysaccharides for specific applications Explores advanced methods, for novel applications across food, medicine, and the environment

Food, Medical, and Environmental Applications of Polysaccharides provides a detailed resource for those interested in the design and preparation of polysaccharides for state-of-the-art applications. The book begins with an introductory section covering sources, chemistry, architectures, bioactivity, and chemical modifications of polysaccharides. Subsequent parts of the book are organized by field, with chapters focusing on specific applications across food, medicine, and the environment. This is an extremely valuable book for researchers, scientists, and advanced students in biopolymers, polymer science, polymer chemistry, biomaterials, materials science, biotechnology, biomedical engineering, cosmetics, medicine, food science, and environmental science.This important class of biopolymer can offer attractive properties and modification potential, enabling its use in groundbreaking areas across food, medical, and environmental fields. The book will be of interest to scientists, R&D professionals, designers, and engineers who utilize polysaccharide-based materials.- Presents comprehensive information of the polymeric structures and properties that can be developed from polysaccharides- Offers systematic coverage of classification, synthesis, and characterization, enabling targeted design and preparation of polysaccharides for specific applications- Explores advanced methods, for novel applications across food, medicine, and the environment

Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques.- Gives advanced methods in signal processing- Includes machine and deep learning methods- Presents experimental case studies

Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques. Gives advanced methods in signal processing Includes machine and deep learning methods Presents experimental case studies