Application of deep learning in food: a review

L Zhou, C Zhang, F Liu, Z Qiu… - Comprehensive reviews in …, 2019 - Wiley Online Library
Deep learning has been proved to be an advanced technology for big data analysis with a
large number of successful cases in image processing, speech recognition, object detection …

Identification and enumeration of cyanobacteria species using a deep neural network

SS Baek, JC Pyo, Y Pachepsky, Y Park, M Ligaray… - Ecological …, 2020 - Elsevier
Cell classification and cell counting are essential for the detection, monitoring, forecasting,
and management of harmful algae populations. Conventional methods of algae …

Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies

MC Lee, JW Chang, SC Yeh, TL Chia, JS Liao… - Neural computing and …, 2022 - Springer
With the development of the Internet, information on the stock market has gradually become
transparent, and stock information is easy to obtain. For investors, investment performance …

Allergen30: detecting food items with possible allergens using deep learning-based computer vision

M Mishra, T Sarkar, T Choudhury, N Bansal… - Food Analytical …, 2022 - Springer
Food allergies impose a significant health concern on the community. A small number of
certain food items can cause an allergic reaction within the human body. The symptoms can …

Using an AI-based object detection translation application for English vocabulary learning

PL Liu, CJ Chen - Educational Technology & Society, 2023 - JSTOR
This study aimed to examine the effects of an AI-based object detection translation (AI-based
ODT) application (app) on EFL students' vocabulary learning. We developed a system that …

Writer age estimation through handwriting

Z Huang, P Shivakumara, MA Kaljahi, A Kumar… - Multimedia Tools and …, 2023 - Springer
Handwritten image-based writer age estimation is a challenging task due to the various
writing styles of different individuals, use of different scripts, varying alignment, etc. Unlike …

A novel deep learning neural network for fast-food image classification and prediction using modified loss function

S Lohala, A Alsadoon, PWC Prasad, RS Ali… - Multimedia Tools and …, 2021 - Springer
Accurate food image classification is often critical to accurately monitor the dietary
assessment to reduce the risk of different heart-related diseases, obesity, diabetes, and …

Artificial intelligence for smart electric vehicle braking system

S Prasetya, HM Ridlwan, HDS Budiono… - Journal of Mechanical …, 2020 - scholar.ui.ac.id
A braking system is an essential value in a vehicle particularly for a safety precaution. The
higher number rate of traffic accidents mostly in Indonesia shows that the dominant cause of …

Research on anomaly intrusion detection technology in wireless network

D Yu - 2018 International Conference on Virtual Reality and …, 2018 - ieeexplore.ieee.org
In order to improve the security of wireless network, an anomaly intrusion detection
algorithm based on adaptive time-frequency feature decomposition is proposed. This paper …

Using deep learning to evaluate the segmentation of liver cell from biopsy image

SK Tai, YS Lo - … on Awareness Science and Technology (iCAST …, 2018 - ieeexplore.ieee.org
Liver cancer is one of the most critical health problems in the world. The grading diagnosis
for liver cancer in biopsy images is essential for the treatment of liver cancer and disease …