Disambiguity and Alignment: An Effective Multi-Modal Alignment Method for Cross-Modal Recipe Retrieval

Z Zou, X Zhu, Q Zhu, H Zhang, L Zhu - Foods, 2024 - mdpi.com
As a prominent topic in food computing, cross-modal recipe retrieval has garnered
substantial attention. However, the semantic alignment across food images and recipes …

FoodSky: A Food-oriented Large Language Model that Passes the Chef and Dietetic Examination

P Zhou, W Min, C Fu, Y Jin, M Huang, X Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Food is foundational to human life, serving not only as a source of nourishment but also as a
cornerstone of cultural identity and social interaction. As the complexity of global dietary …

Using LLMs to Extract Food Entities from Cooking Recipes

V Pitsilou, G Papadakis… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Automatically extracting food entities from cooking recipes has recently gained significant
attention as a means of facilitating data-and AI-driven solutions for healthy and sustainable …

Application of machine vision in drying process modeling of carrot slices

G Basu, K Dhalsamant… - Computing and …, 2024 - 2oldtoojsacad.acad-pub.com
In this current research, the drying characteristics of carrot slices dried in a convective hot-air
dryer are analyzed employing image analysis to determine the most significant factor. From …

[引用][C] Development of a Decision Support System for Perishable Food Management in Culinary Education Institutions Using Machine Learning with Linear …

A Makin, MI Abdullah, RAA Helmi - Journal of Management & Science, 2023