Radar-based air-writing gesture recognition using a novel multistream CNN approach
Hand gestures, being a convenient and natural way of communication, is getting huge
attention for human–computer interface designs. Among these gestures, detecting mid-air …
attention for human–computer interface designs. Among these gestures, detecting mid-air …
A food recommendation system for predictive diabetic patients using ANN and CNN
NC Brintha, P Nagaraj, A Tejasri… - 2022 7th …, 2022 - ieeexplore.ieee.org
In the present society, many people are suffering from diabetes. To maintain a healthier diet,
people must track the number of food calories they consume daily, along with their total …
people must track the number of food calories they consume daily, along with their total …
Indigenous food recognition model based on various convolutional neural network architectures for gastronomic tourism business analytics
In gastronomic tourism, food is viewed as the central tourist attraction. Specifically,
indigenous food is known to represent the expression of local culture and identity. To …
indigenous food is known to represent the expression of local culture and identity. To …
DFR-HL: Diabetic Food Recommendation Using Hybrid Learning Methods
Diabetes affects a large number of people in modern culture. Individuals must keep track of
food calories and total calories consumed daily to maintain a balanced diet. Type 2 diabetes …
food calories and total calories consumed daily to maintain a balanced diet. Type 2 diabetes …
[HTML][HTML] Fine-grained food image classification and recipe extraction using a customized deep neural network and NLP
RSA Kareem, T Tilford, S Stoyanov - Computers in Biology and Medicine, 2024 - Elsevier
Global eating habits cause health issues leading people to mindful eating. This has directed
attention to applying deep learning to food-related data. The proposed work develops a new …
attention to applying deep learning to food-related data. The proposed work develops a new …
[HTML][HTML] Asian food image classification based on deep learning
B Xu, X He, Z Qu - Journal of Computer and Communications, 2021 - scirp.org
To improve Asian food image classification accuracy, a method that combined Convolutional
Block Attention Module (CBAM) with the Mobile NetV2, VGG16, and ResNet50 was …
Block Attention Module (CBAM) with the Mobile NetV2, VGG16, and ResNet50 was …
Personalised food classifier and nutrition interpreter multimedia tool using deep learning
M Sundarramurthi, M Nihar… - 2020 IEEE REGION 10 …, 2020 - ieeexplore.ieee.org
Food plays a vital role in our day-to-day life to get all the required nutrients for a healthy
lifestyle. In recent years, obesity has become one of the major concerns among humans …
lifestyle. In recent years, obesity has become one of the major concerns among humans …
Deep Transfer Learning for Food Recognition
A Pehlic, A Abd Almisreb, M Kunovac… - … Europe Journal of …, 2019 - moodletest.ius.edu.ba
Food Recognition is an essential topic in the area of computer of its target applications is to
avoid achieving a cashier at the dining place. In this paper, we investigate the application of …
avoid achieving a cashier at the dining place. In this paper, we investigate the application of …
DETECTION OF FOOD ITEM VIA IMAGE PROCESSING
S Tambe, N Labhade-Kumar, D Chavan… - JOURNAL OF BASIC …, 2024 - yjgkx.org.cn
This research initiative, titled Detection of Food Item Via Image Processing,'aims to develop
a robust desktop application. This software will leverage cutting-edge machine learning …
a robust desktop application. This software will leverage cutting-edge machine learning …