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Fundamentals of Bioanalytical Techniques and Instrumentation
Bioanalytical techniques are the integrated methods used in biological sciences and analytical chemistry. This comprehensive and well-written book is intended for those who wish to have a strong foundation in Biotech-nology. The book deals with various concepts, techniques, and instruments used in bioanalysis as well as their diverse practical applications. The text provides a good understanding of the general laboratory techniques, microscopic methods, various separation and spectroscopic techniques and many common issues of experimental design and data analysis. In addition, it discusses in detail various hydrodynamic techniques like sedimentation and centrifugation, pH, diffraction method...
FUNDAMENTALS OF BIOANALYTICAL TECHNIQUES AND INSTRUMENTATION, SECOND EDITION
This thoroughly revised edition of the book demonstrates principle and instrumentation of each technique routinely used in biotechnology. Like the previous edition, the second edition also follows non-mathematical approach. Three aspects of each technique including principle, methodology with knowledge of different parts of an instrument; and applications have now been discussed in the text. For the beginners, the book will help in building a strong foundation, starting from the preparation of solutions, extraction, separation and analysis of biomolecules to the characterisation by spectroscopic methods—the full gamut of biological analysis. NEW TO THE SECOND EDITION • Incorporates two n...
Computational Intelligence in Pattern Recognition
This book features high-quality research papers presented at the 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2022), held at Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India, during 23 – 24 April 2022. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Proceedings of the Global AI Congress 2019
This book gathers high-quality research papers presented at the Global AI Congress 2019, which was organized by the Institute of Engineering and Management, Kolkata, India, on 12–14 September 2019. Sharing contributions prepared by researchers, practitioners, developers and experts in the areas of artificial intelligence, the book covers the areas of AI for E-commerce and web applications, AI and sensors, augmented reality, big data, brain computing interfaces, computer vision, cognitive radio networks, data mining, deep learning, expert systems, fuzzy sets and systems, image processing, knowledge representation, nature-inspired computing, quantum machine learning, reasoning, robotics and autonomous systems, robotics and the IoT, social network analysis, speech processing, video processing, and virtual reality.
