LEADER 03374nam 2200505 450 001 9910683343703321 005 20230731000240.0 010 $a9783031229596$b(electronic bk.) 010 $z9783031229589 024 7 $a10.1007/978-3-031-22959-6 035 $a(MiAaPQ)EBC7219843 035 $a(Au-PeEL)EBL7219843 035 $a(OCoLC)1374431408 035 $a(DE-He213)978-3-031-22959-6 035 $a(PPN)269099395 035 $a(EXLCZ)9926323407100041 100 $a20230731d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aImage Based Computing for Food and Health Analytics $eRequirements, Challenges, Solutions and Practices /$fRajeev Tiwari, Deepika Koundal, and Shuchi Upadhyay, editors 205 $aFirst edition. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (247 pages) 311 08$aPrint version: Tiwari, Rajeev Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices Cham : Springer International Publishing AG,c2023 9783031229589 320 $aIncludes bibliographical references and index. 327 $a1. Food Computing Research opportunities using AI and M -- Estimating the Risk of Diabetes Using Association Rule Mining Based on Clustering -- Digital Twins for Food Nutrition and Health Based on Cloud Communication -- Smart Healthcare Systems: An IoT with Fog Computing based Solution for Healthcare,- An Intelligent and Secure Real-time Environment Monitoring System for healthcare using IoT and Cloud Computing with the Mobile Application Support -- Efficient BREV Ensemble Framework: A Case Study of Breast Cancer Prediction,- Current and Future Trends of Cloud-based solutions for Healthcare,- Secure Authentication in IoT based healthcare management environment using integrated Fog computing enabled blockchain system -- SENTIMENT ANALYSIS OF COVID-19 TWEETS USING VOTING ENSEMBLE-BASED MODEL -- Cloud and machine learning based solutions for healthcare and preventio -- Interoperable Cloud-Fog architecture in IoT-enabled Health Sector -- COVID-19 Wireless Self-Assessment Software for Rural Areas in Nigeria -- Efficient Fog-to-Cloud Internet-of-Medical-Things System. 330 $aImage Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed. 606 $aFood habits 606 $aNutrition$xTechnological innovations 615 0$aFood habits. 615 0$aNutrition$xTechnological innovations. 676 $a394.12 702 $aTiwari$b Rajeev 702 $aKoundal$b Deepika 702 $aUpadhyay$b Shuchi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910683343703321 996 $aImage Based Computing for Food and Health Analytics$93419502 997 $aUNINA