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sevda surajbhan (curatore); singh anoop (curatore) - mathematical and statistical applications in food engineering
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Mathematical and Statistical Applications in Food Engineering

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

CRC Press

Pubblicazione: 01/2020
Edizione: 1° edizione





Note Editore

Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentation. It provides the fundamentals on statistical methods to solve standard problems associated with food engineering and fermentation technology. Combining theory with a practical, hands-on approach, this book covers key aspects of food engineering. Presenting cuttingedge information, the book is an essential reference on the fundamental concepts associated with food engineering.




Sommario

ROLE OF MATHEMATICAL AND STATISTICAL MODELLING IN FOOD ENGINEERING Surajbhan Sevda, Vijay Kumar Garlapati, and Anoop Singh EVOLUTIONARY OPTIMIZATION TECHNIQUES AS EFFECTIVE TOOLS FOR PROCESS MODELLING IN FOOD PROCESSING Lakshmishri Roy, Debabrata Bera, and Vijay Kumar Garlapati OPTIMIZATION OF FOOD PROCESSES USING MIXTURE EXPERIMENTS SOME APPLICATIONS Daniel Granato, Veronica Calado, and Edmilson Rodrigues Pinto MICROORGANISMS AND FOOD PRODUCTS IN FOOD PROCESSING USING FULL FACTORIAL DESIGN Davor Valinger, Jasna Gajdoš Kljusuric, Danijela Bursac Kovacevic, Predrag Putnik, and Anet Režek Jambrak THE USE OF CORRELATION, ASSOCIATION AND REGRESSION TO ANALYZE FOOD PROCESSES AND PRODUCTS Jimy Oblitas, Miguel De-la-Torre, Himer Avila- George, and Wilson Castro APPLICATION OF CLUSTER ANALYSIS IN FOOD SCIENCE AND TECHNOLOGY Chapman J, Power A, Chandra S, Robert J and Cozzolino, D. MULTIWAY STATISTICAL METHODS FOR FOOD ENGINEERING AND TECHNOLOGY Smita S. Lele, and Snehasis Chakraborty APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS FOR QUALITY CONTROL OF FOOD PRODUCTS Soumen Ghosh, and Jayeeta Mitra IMPORTANCE OF NORMALITY TESTING, PARAMETRIC AND NON-PARAMETRIC APPROACH, ASSOCIATION, CORRELATION AND LINEAR REGRESSION (MULTIPLE & MULTIVARIATE) OF DATA IN FOOD & BIO-PROCESS ENGINEERING Soumen Ghosh and Jayeeta Mitra REGRESSION ANALYSIS METHODS FOR AGRI-FOOD QUALITY AND SAFETY EVALUATIONS USING NEAR-INFRARED (NIR) HYPERSPECTRAL IMAGING Chandra B. Singh and Digvir S. Jayas PARTIAL LEAST SQUARE REGRESSION FOR FOOD ANALYSIS: BASIS AND EXAMPLE Wilson Manuel Castro, Jimy Oblitas, Edward E Rojas, and Himer Avila- George MATHEMATICAL MODELLING OF HIGH PRESSURE PROCESS IN FOOD ENGINEERING Deepak Kadam, Surajbhan Sevda, Namrata Tyagi, and Chetan Joshi FOOD PROCESS MODELING AND OPTIMIZATION BY RESPONSE SURFACE METHODOLOGY (RSM) Narjes Malekjani, and Seid Mahdi Jafari A MATHEMATICAL APPROACH TO THE MODELING OF THE RHEOLOGICAL PROPERTIES OF SOLID FOODS Ryszard Myhan, and Marek Markowski MATHEMATICAL MODELS FOR ANALYZING THE MICROBIAL GROWTH IN FOOD Jyoti Singh, and Vishal Mishra COMPUTATIONAL FLUID DYNAMICS (CFD) SIMULATIONS IN FOOD PROCESSING Abhishek Dutta, Ferruh Erdogdu, and Fabrizio Sarghini APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS FOR FOOD SAFETY AND QUALITY ASSURANCE S.Jancy, and R. Preetha MATHEMATICAL MODELLING IN FOOD SCIENCE THROUGH THE PARADIGM OF EGGPLANT DRYING Alessandra Adrover, and Antonio Brasiello USE OF MATHEMATICAL MODELLING OF DOUGH BISCUITS BAKING BEHAVIOUR Baldino Noemi, Francesca R. Lupi, Domenico Gabriele and Bruno de Cindio APPLICATIONS OF PRINCIPAL COMPONENT ANALYSIS (PCA) FOR FRUIT JUICE RECOVERY AND QUALITY ANALYSIS Debabrata Bera, Lakshmishri Roy, and Tanmoy Bhattacharya USE OF ARTIFICIAL NEURAL NETWORKS IN OPTIMIZING FOOD PROCESSES R. A. Conde-Gutiérrez, U. Cruz-Jacobo and J. A. Hernández APPLICATION OF NEURAL NETWORKS IN OPTIMIZING DIFFERENT FOOD PROCESSES: CASE STUDY Kshirod K Dash, G.V.S. Bhagya Raj, and Mainao A Gayary MATHEMATICAL MODELLING FOR PREDICTING THE TEMPERATURES DURING MICROWAVE HEATING OF SOLID FOODS - A CASE STUDY Coskan Ilicali, Filiz Icier, and Ömer Faruk Cokgezme MICROWAVE DRYING OF FOOD MATERIALS MODELLED BY THE REACTION ENGINEERING APPROACH (REA) - FRAMEWORK Aditya Putranto, and Xiao Dong Chen MODELLING OF HEAT TRANSFER DURING DEEP FAT FRYING OF FOOD Kshirod K Dash, Maanas Sharma, and M A Bareen




Autore

Surajbhan Sevda obtained a PhD in Biochemical Engineering & Biotechnology in 2013 from Indian Institute of Technology Delhi, New Delhi, India. He is currently an Assistant Professor at the Department of Biotechnology, National Institute of Technology, Warangal, India. Prior to this, he was a technical officer (research scientist) at IIT Guwahati, India. He has published more than 28 articles in scientific journals and book chapters. He received his Bachelor of Engineering in Biotechnology and Master of Technology in fermentation technology from University of Rajasthan and Institute of Chemical Technology (formerly UDCT), University of Mumbai, India, in 2006 and 2008, respectively. He was a visiting scientist at University of Calgary, Canada, in 2018. His research experience lies in industrial wastewater treatment, biofuels, and bioenergy, life cycle analysis (LCA), metal recovery, biosensor development, green chemistry, and microbial electrosynthesis. Anoop Singh obtained a PhD in Botany in 2004. He is currently a Scientist at the Department of Scientific and Industrial Research (DSIR), Ministry of Science and Technology, Government of India. Before joining DSIR, he worked at DTU, Denmark; UCC, Ireland; TERI, New Delhi, India; IARI, New Delhi, India; BHU, Varanasi, India; and VBSPU, Jaunpur, India. He has more than fifty articles in scientific journals, has published five books, including two with Springer. He is a member of several scientific communities. His research interests are sustainable agriculture, the utilization of industrial, agricultural and household waste for eco-friendly energy production, and life cycle assessment.










Altre Informazioni

ISBN:

9781138347670

Condizione: Nuovo
Dimensioni: 10 x 7 in Ø 2.36 lb
Formato: Copertina rigida
Illustration Notes:161 b/w images, 16 color images and 63 tables
Pagine Arabe: 444


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