Health to eat: a smart plate with food recognition, classification, and weight measurement for type-2 diabetic mellitus patients' nutrition control

SR Joshua, S Shin, JH Lee, SK Kim - Sensors, 2023 - mdpi.com
The management of type 2 diabetes mellitus (T2DM) is generally not only focused on
pharmacological therapy. Medical nutrition therapy is often forgotten by patients for several …

Improved apple fruit target recognition method based on YOLOv7 model

H Yang, Y Liu, S Wang, H Qu, N Li, J Wu, Y Yan… - Agriculture, 2023 - mdpi.com
This study proposes an improved algorithm based on the You Only Look Once v7 (YOLOv7)
to address the low accuracy of apple fruit target recognition caused by high fruit density …

High accuracy food image classification via vision transformer with data augmentation and feature augmentation

X Gao, Z Xiao, Z Deng - Journal of Food Engineering, 2024 - Elsevier
Food image classification is an important research direction in the field of computer vision
and machine learning. However food image classification faces great challenges when …

A lightweight hybrid model with location-preserving vit for efficient food recognition

G Sheng, W Min, X Zhu, L Xu, Q Sun, Y Yang, L Wang… - Nutrients, 2024 - mdpi.com
Food-image recognition plays a pivotal role in intelligent nutrition management, and
lightweight recognition methods based on deep learning are crucial for enabling mobile …

A novel radial base artificial intelligence structures with sequential quadratic programming for magnetohydrodynamic nanofluidic model with gold nanoparticles in a …

ZI Butt, I Ahmad, M Shoaib, H Ilyas, MAZ Raja - Engineering Applications of …, 2024 - Elsevier
Stenosis is a small, complex process that results from the accumulation of cholesterol, lipids,
and calcified deposits in the artery wall. This endogenous proliferation impedes the …

Lightweight Food Recognition via Aggregation Block and Feature Encoding

Y Yang, W Min, J Song, G Sheng, L Wang… - ACM Transactions on …, 2024 - dl.acm.org
Food image recognition has recently been given considerable attention in the multimedia
field in light of its possible implications on health. The characteristics of the dispersed …

Reducing carbon emissions in the architectural design process via transformer with cross-attention mechanism

HD Li, X Yang, HL Zhu - Frontiers in Ecology and Evolution, 2023 - frontiersin.org
Introduction The construction industry is one of the world's largest carbon emitters,
accounting for around 40% of total emissions. Therefore, reducing carbon emissions from …

MFNet: A Channel Segmentation-Based Hierarchical Network for Multi-food Recognition

K Jin, J Chen, T Song - Chinese Conference on Pattern Recognition and …, 2023 - Springer
Due to significant differences between foods from different regions, there is a relative lack of
publicly available multi-food image datasets, which is particularly evident in the field of …