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Binary Polar Liquids

Structural and Dynamic Characterization Using Spectroscopic Methods

By: Suresh C. Mehrotra,Ashok Kumbharkhane,Ajay Chaudhari

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Binary Polar Liquids

Structural and Dynamic Characterization Using Spectroscopic Methods

By: Suresh C. Mehrotra,Ashok Kumbharkhane,Ajay Chaudhari

Binary Polar Liquids: Structural and Dynamic Characterization Using Spectroscopic Methods provides liquid state physical chemists and physicists with practical theoretical models based on a wealth of robust data that describe the dielectric properties of dipolar materials in a systematic manner. In many applications, reference measurements using dielectric permittivity data are required. Over the past three decades, the author has compiled and analyzed permittivity research data and relaxation times for various polar liquids and their mixtures. The resulting structural data - as determined from various models - is critically evaluated, arming scientists with a complete characterization of the spectra of water-containing mixtures. - Includes theoretical models that describe dielectric properties of dipolar materials - Features reference measurements using dielectric permittivity data - Describes the experimental techniques and procedures to extract the permittivity spectra and determination of different molecular parameters - Provides a critical evaluation and analysis of research data compiled and consolidated over more than 30 years

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Page Count

478

Publisher

Elsevier

Published Date

ISBN 10

012813254X

ISBN 13

9780128132548

Introduction to EEG- and Speech-Based Emotion Recognition

By: Priyanka A. Abhang,Bharti W. Gawali,Suresh C. Mehrotra

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Introduction to EEG- and Speech-Based Emotion Recognition

By: Priyanka A. Abhang,Bharti W. Gawali,Suresh C. Mehrotra

Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings. - Provides detailed insight on the science of emotion and the brain signals underlying this phenomenon - Examines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech data - Details the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition

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Page Count

200

Publisher

Academic Press

Published Date

ISBN 10

0128045310

ISBN 13

9780128045312