Evaluating machine learning technologies for food computing from a data set perspective
<div><p>Food plays an important role in our lives that goes beyond mere sustenance. Food affects behavior, mood, and social life. It has recently become an important focus of multimedia and social media applications. The rapid increase of available image data and the fast evolution of ar...
محفوظ في:
| المؤلف الرئيسي: | Nauman Ullah Gilal (17302714) (author) |
|---|---|
| مؤلفون آخرون: | Khaled Al-Thelaya (17302711) (author), Jumana Khalid Al-Saeed (17725971) (author), Mohamed Abdallah (3073191) (author), Jens Schneider (16885948) (author), James She (17725974) (author), Jawad Hussain Awan (17725977) (author), Marco Agus (8032898) (author) |
| منشور في: |
2023
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing
حسب: Nauman Ullah Gilal (17302714)
منشور في: (2024) -
Analysis of facial emotion expression in eating occasions using deep learning
حسب: Elif Yildirim (17725965)
منشور في: (2023) -
Investigating the Food Waste Status in the Hospitality Sector of the Emirate of Dubai-UAE
حسب: Sadeh, Reham Zeyad
منشور في: (2024) -
Effects of COVID-19 pandemic on household food waste behaviour in Iran
حسب: Mohammad Sadegh Allahyari (17017701)
منشور في: (2022) -
Impacts of the COVID-19 pandemic on food security and food consumption: Preliminary insights from the gulf cooperation council region
حسب: Tarek Ben Hassen (15742605)
منشور في: (2022)