Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices

Y Liu, H Pu, DW Sun - Trends in Food Science & Technology, 2021 - Elsevier
Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …

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 …

Deep learning and medical diagnosis: A review of literature

M Bakator, D Radosav - Multimodal Technologies and Interaction, 2018 - mdpi.com
In this review the application of deep learning for medical diagnosis is addressed. A
thorough analysis of various scientific articles in the domain of deep neural networks …

Deep neural network for food image classification and nutrient identification: A systematic review

R Kaur, R Kumar, M Gupta - Reviews in Endocrine and Metabolic …, 2023 - Springer
Technology impacts human life in both the aspects such as positive and negative, which
helps in better communication and eliminating geographical boundaries. However, social …

Operationalising AI ethics through the agile software development lifecycle: a case study of AI-enabled mobile health applications

LM Amugongo, A Kriebitz, A Boch, C Lütge - AI and Ethics, 2023 - Springer
Although numerous ethical principles and guidelines have been proposed to guide the
development of artificial intelligence (AI) systems, it has proven difficult to translate these …

[HTML][HTML] Precision nutrition: A systematic literature review

D Kirk, C Catal, B Tekinerdogan - Computers in Biology and Medicine, 2021 - Elsevier
Precision Nutrition research aims to use personal information about individuals or groups of
individuals to deliver nutritional advice that, theoretically, would be more suitable than …

Intelligent food processing: Journey from artificial neural network to deep learning

J Nayak, K Vakula, P Dinesh, B Naik, D Pelusi - Computer Science Review, 2020 - Elsevier
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 …

Artificial intelligence in the design of the transitions to sustainable food systems

S Camaréna - Journal of Cleaner Production, 2020 - Elsevier
Food systems and our ability to secure food and nutrition for current and future generations
is challenged by population growth, climate change, resource depletion and pollution. The …

Inverse cooking: Recipe generation from food images

A Salvador, M Drozdzal… - Proceedings of the …, 2019 - openaccess.thecvf.com
People enjoy food photography because they appreciate food. Behind each meal there is a
story described in a complex recipe and, unfortunately, by simply looking at a food image we …

A review on vision-based analysis for automatic dietary assessment

W Wang, W Min, T Li, X Dong, H Li, S Jiang - Trends in Food Science & …, 2022 - Elsevier
Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …