01046nam0 22002651i 450 UON0002706520231205102044.4020020107d1995 |0itac50 baturTR|||| 1||||Arap lehçelerindeki turkçe kelimelerBedrettin AytacIstanbulTurk Dunyasi Arastirmalari Vakfi1995159 p.19 cmLingua arabaLessico turcoUONC017726FITRIstanbulUONL000077TUR II CTURCHIA - LINGUISTICA - STUDI SPECIFICIAAYTACBedrettinUONV018454643678Turk Dunyasi Arastirmalari VakfiUONV246580650ITSOL20250502RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00027065SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI TUR II C 052 N SI SA 84825 5 052 N Arap lehçelerindeki turkçe kelimeler1200285UNIOR03302nam 2200757z- 450 991056647850332120220506(CKB)5680000000037595(oapen)https://directory.doabooks.org/handle/20.500.12854/81064(oapen)doab81064(EXLCZ)99568000000003759520202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierImplementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference AssessmentBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (114 p.)3-0365-4080-6 3-0365-4079-2 In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.Biology, life sciencesbicsscResearch & information: generalbicsscTechnology, engineering, agriculturebicsscartificial neural networksavocadobotanical originclassificationconsumer acceptance predictionconsumer sciencecultivarsdata fusiondeep learningemotion recognitionfacial expression recognitionflavor lexicongalvanic skin responselong short-term memorymachine learningmachine learning modelingn/anatural language processingnear infra-red spectroscopyneural networksphysicochemical measurementsphysicochemical parameterspreference mappingsensorysensory analysissensory descriptive analysissensory evaluationsensory scienceunifloral honeysweatherwine qualityBiology, life sciencesResearch & information: generalTechnology, engineering, agricultureFuentes Sigfredoedt1280644Fuentes SigfredoothBOOK9910566478503321Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment3033968UNINA