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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: 09/2021
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 ENGINEERINGSurajbhan Sevda, Vijay Kumar Garlapati, and Anoop SinghEVOLUTIONARY OPTIMIZATION TECHNIQUES AS EFFECTIVE TOOLS FOR PROCESS MODELLING IN FOOD PROCESSINGLakshmishri Roy, Debabrata Bera, and Vijay Kumar GarlapatiOPTIMIZATION OF FOOD PROCESSES USING MIXTURE EXPERIMENTS SOME APPLICATIONS Daniel Granato, Veronica Calado, and Edmilson Rodrigues PintoMICROORGANISMS AND FOOD PRODUCTS IN FOOD PROCESSING USING FULL FACTORIAL DESIGN Davor Valinger, Jasna Gajdoš Kljusuric, Danijela Bursac Kovacevic, Predrag Putnik, and Anet Režek JambrakTHE USE OF CORRELATION, ASSOCIATION AND REGRESSION TO ANALYZE FOOD PROCESSES AND PRODUCTSJimy Oblitas, Miguel De-la-Torre, Himer Avila- George, and Wilson CastroAPPLICATION 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 ChakrabortyAPPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS FOR QUALITY CONTROL OF FOOD PRODUCTSSoumen Ghosh, and Jayeeta MitraIMPORTANCE OF NORMALITY TESTING, PARAMETRIC AND NON-PARAMETRIC APPROACH, ASSOCIATION, CORRELATION AND LINEAR REGRESSION (MULTIPLE & MULTIVARIATE) OF DATA IN FOOD & BIO-PROCESS ENGINEERINGSoumen Ghosh and Jayeeta MitraREGRESSION ANALYSIS METHODS FOR AGRI-FOOD QUALITY AND SAFETY EVALUATIONS USING NEAR-INFRARED (NIR) HYPERSPECTRAL IMAGING Chandra B. Singh and Digvir S. JayasPARTIAL LEAST SQUARE REGRESSION FOR FOOD ANALYSIS: BASIS AND EXAMPLE Wilson Manuel Castro, Jimy Oblitas, Edward E Rojas, and Himer Avila- GeorgeMATHEMATICAL MODELLING OF HIGH PRESSURE PROCESS IN FOOD ENGINEERING Deepak Kadam, Surajbhan Sevda, Namrata Tyagi, and Chetan JoshiFOOD PROCESS MODELING AND OPTIMIZATION BY RESPONSE SURFACE METHODOLOGY (RSM) Narjes Malekjani, and Seid Mahdi JafariA MATHEMATICAL APPROACH TO THE MODELING OF THE RHEOLOGICAL PROPERTIES OF SOLID FOODSRyszard Myhan, and Marek MarkowskiMATHEMATICAL MODELS FOR ANALYZING THE MICROBIAL GROWTH IN FOODJyoti Singh, and Vishal MishraCOMPUTATIONAL FLUID DYNAMICS (CFD) SIMULATIONS IN FOOD PROCESSINGAbhishek Dutta, Ferruh Erdogdu, and Fabrizio SarghiniAPPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS FOR FOOD SAFETY AND QUALITY ASSURANCES.Jancy, and R. PreethaMATHEMATICAL MODELLING IN FOOD SCIENCE THROUGH THE PARADIGM OF EGGPLANT DRYINGAlessandra Adrover, and Antonio BrasielloUSE OF MATHEMATICAL MODELLING OF DOUGH BISCUITS BAKING BEHAVIOURBaldino Noemi, Francesca R. Lupi, Domenico Gabriele and Bruno de CindioAPPLICATIONS OF PRINCIPAL COMPONENT ANALYSIS (PCA) FOR FRUIT JUICE RECOVERY AND QUALITY ANALYSISDebabrata Bera, Lakshmishri Roy, and Tanmoy BhattacharyaUSE OF ARTIFICIAL NEURAL NETWORKS IN OPTIMIZING FOOD PROCESSESR. A. Conde-Gutiérrez, U. Cruz-Jacobo and J. A. HernándezAPPLICATION OF NEURAL NETWORKS IN OPTIMIZING DIFFERENT FOOD PROCESSES: CASE STUDY Kshirod K Dash, G.V.S. Bhagya Raj, and Mainao A GayaryMATHEMATICAL MODELLING FOR PREDICTING THE TEMPERATURES DURING MICROWAVE HEATING OF SOLID FOODS - A CASE STUDYCoskan Ilicali, Filiz Icier, and Ömer Faruk CokgezmeMICROWAVE DRYING OF FOOD MATERIALS MODELLED BY THE REACTION ENGINEERING APPROACH (REA) - FRAMEWORKAditya Putranto, and Xiao Dong ChenMODELLING OF HEAT TRANSFER DURING DEEP FAT FRYING OF FOODKshirod 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:

9781032175379

Condizione: Nuovo
Dimensioni: 10 x 7 in Ø 1.98 lb
Formato: Brossura
Illustration Notes:161 b/w images and 16 color images
Pagine Arabe: 444


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