Intelligent food processing: Journey from artificial neural network to deep learning
Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …
technology. With an increase in industrial automation and the Internet of Things, now it is …
Thai fast food image classification using deep learning
N Hnoohom, S Yuenyong - 2018 International ECTI northern …, 2018 - ieeexplore.ieee.org
This paper presents a prediction model for classifying Thai fast food images. The model
uses a deep learning process that was trained on natural images (GoogLeNet dataset) and …
uses a deep learning process that was trained on natural images (GoogLeNet dataset) and …
Deep learning methods for virus identification from digital images
L Zhang, WQ Yan - … 35th International Conference on Image and …, 2020 - ieeexplore.ieee.org
The use of deep learning methods for virus identification from digital images is a timely
research topic. Given an electron microscopy image, virus recognition utilizing deep …
research topic. Given an electron microscopy image, virus recognition utilizing deep …
Evolutionary neural architecture search based on efficient CNN models population for image classification
The aim of this work is to search for a Convolutional Neural Network (CNN) architecture that
performs optimally across all factors, including accuracy, memory footprint, and computing …
performs optimally across all factors, including accuracy, memory footprint, and computing …
NU-LiteNet: Mobile landmark recognition using convolutional neural networks
C Termritthikun, S Kanprachar… - arXiv preprint arXiv …, 2018 - arxiv.org
The growth of high-performance mobile devices has resulted in more research into on-
device image recognition. The research problems are the latency and accuracy of automatic …
device image recognition. The research problems are the latency and accuracy of automatic …
Feasibility study of an automated carbohydrate estimation system using Thai food images in comparison with estimation by dietitians
P Chotwanvirat, N Hnoohom… - Frontiers in …, 2021 - frontiersin.org
Carbohydrate counting is essential for well-controlled blood glucose in people with type 1
diabetes, but to perform it precisely is challenging, especially for Thai foods. Consequently …
diabetes, but to perform it precisely is challenging, especially for Thai foods. Consequently …
An improved residual network model for image recognition using a combination of snapshot ensembles and the cutout technique
C Termritthikun, Y Jamtsho… - Multimedia Tools and …, 2020 - Springer
Abstract NUF-Net (Naresuan University and Fiber One Public Company Limited Network) is
a new and improved Convolutional Neural Network (CNN) model based on the previously …
a new and improved Convolutional Neural Network (CNN) model based on the previously …
On-device facial verification using NUF-Net model of deep learning
The major problems for Convolutional Neural Networks (CNNs) on devices with low
processing power, such as Raspberry Pi 3, are the processing time and the model storage …
processing power, such as Raspberry Pi 3, are the processing time and the model storage …
Food image recognition for price calculation using convolutional neural network
This project is attempting to solve the issue of unfair and inconsistent food price being
charged in economy rice or mixed rice that widely seen in the café of hawker stall in …
charged in economy rice or mixed rice that widely seen in the café of hawker stall in …
Optimizing Hyperparameters for Thai Cuisine Recognition via Convolutional Neural Networks
N Theera-Ampornpunt, P Treepong - Traitement Du Signal, 2023 - search.proquest.com
Automated food logging is an essential component of modern dietary management, and
food recognition plays a crucial role in this process. However, the recognition of dishes and …
food recognition plays a crucial role in this process. However, the recognition of dishes and …