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| Title: | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices IBCFHA / |
|---|---|
| From: |
edited by Rajeev Tiwari, Deepika Koundal, Shuchi Upadhyay.
|
| Person: |
Tiwari, Rajeev.
Koundal, Deepika. Upadhyay, Shuchi. editor. |
| Corporate Author: | |
| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Edition: | 1st ed. 2023. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-22959-6 |
| Summary: | Image 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. |
| Physical Description: | 1 Online-Ressource (VIII, 246 p. 70 illus., 61 illus. in color.) |
| ISBN: | 9783031229596 |
Staff View
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| 505 | 0 | |a 1. 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. | |
| 520 | |a Image 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. | ||
| 650 | 0 | |a Food science. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Medical informatics. | |
| 650 | 0 | |a Artificial intelligence. | |
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| 650 | 2 | 4 | |a Medical and Health Technologies. |
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| contents | 1. 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. |
| dewey-full | 641.3 664 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 641 - Food and drink 664 - Food technology |
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| dewey-search | 641.3 664 |
| dewey-sort | 3641.3 |
| dewey-tens | 640 - Home and family management 660 - Chemical engineering |
| discipline | Chemie / Pharmazie Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau |
| edition | 1st ed. 2023. |
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| illustrated | Not Illustrated |
| indexdate | 2025-06-23T13:27:55Z |
| institution | BVB |
| isbn | 9783031229596 |
| language | English |
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| physical | 1 Online-Ressource (VIII, 246 p. 70 illus., 61 illus. in color.) |
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| publisher | Springer International Publishing : Imprint: Springer, |
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| spelling | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices [electronic resource] : IBCFHA / edited by Rajeev Tiwari, Deepika Koundal, Shuchi Upadhyay. 1st ed. 2023. Cham : Springer International Publishing : Imprint: Springer, 2023. 1 Online-Ressource (VIII, 246 p. 70 illus., 61 illus. in color.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. 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. Image 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. Food science. Biomedical engineering. Medical informatics. Artificial intelligence. Application software. Food Science. Food Engineering. Medical and Health Technologies. Health Informatics. Artificial Intelligence. Computer and Information Systems Applications. Tiwari, Rajeev. editor. edt http://id.loc.gov/vocabulary/relators/edt Koundal, Deepika. editor. edt http://id.loc.gov/vocabulary/relators/edt Upadhyay, Shuchi. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031229589 Printed edition: 9783031229602 Printed edition: 9783031229619 |
| spellingShingle | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices IBCFHA / 1. 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. Food science. Biomedical engineering. Medical informatics. Artificial intelligence. Application software. Food Science. Food Engineering. Medical and Health Technologies. Health Informatics. Artificial Intelligence. Computer and Information Systems Applications. |
| title | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices IBCFHA / |
| title_auth | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices IBCFHA / |
| title_exact_search | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices IBCFHA / |
| title_full | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices [electronic resource] : IBCFHA / edited by Rajeev Tiwari, Deepika Koundal, Shuchi Upadhyay. |
| title_fullStr | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices [electronic resource] : IBCFHA / edited by Rajeev Tiwari, Deepika Koundal, Shuchi Upadhyay. |
| title_full_unstemmed | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices [electronic resource] : IBCFHA / edited by Rajeev Tiwari, Deepika Koundal, Shuchi Upadhyay. |
| title_short | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices |
| title_sort | image based computing for food and health analytics requirements challenges solutions and practices ibcfha |
| title_sub | IBCFHA / |
| topic | Food science. Biomedical engineering. Medical informatics. Artificial intelligence. Application software. Food Science. Food Engineering. Medical and Health Technologies. Health Informatics. Artificial Intelligence. Computer and Information Systems Applications. |
| topic_facet | Food science. Biomedical engineering. Medical informatics. Artificial intelligence. Application software. Food Science. Food Engineering. Medical and Health Technologies. Health Informatics. Artificial Intelligence. Computer and Information Systems Applications. |
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