Convolutional neural network: a review of models, methodologies and applications to object detection
A Dhillon, GK Verma - Progress in Artificial Intelligence, 2020 - Springer
Deep learning has developed as an effective machine learning method that takes in
numerous layers of features or representation of the data and provides state-of-the-art …
numerous layers of features or representation of the data and provides state-of-the-art …
A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …
lives, including environmental pollution, public security, road congestion, etc. New …
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 …
large number of successful cases in image processing, speech recognition, object detection …
Deep learning for IoT big data and streaming analytics: A survey
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect
and/or generate various sensory data over time for a wide range of fields and applications …
and/or generate various sensory data over time for a wide range of fields and applications …
Learning cross-modal embeddings for cooking recipes and food images
In this paper, we introduce Recipe1M, a new large-scale, structured corpus of over 1m
cooking recipes and 800k food images. As the largest publicly available collection of recipe …
cooking recipes and 800k food images. As the largest publicly available collection of recipe …
A survey on food computing
Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …
study may support multifarious applications and services, such as guiding human behavior …
Multi-task self-supervised learning for human activity detection
Deep learning methods are successfully used in applications pertaining to ubiquitous
computing, pervasive intelligence, health, and well-being. Specifically, the area of human …
computing, pervasive intelligence, health, and well-being. Specifically, the area of human …
Large scale visual food recognition
Food recognition plays an important role in food choice and intake, which is essential to the
health and well‐being of humans. It is thus of importance to the computer vision community …
health and well‐being of humans. It is thus of importance to the computer vision community …
[HTML][HTML] Precision nutrition: A systematic literature review
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 …
individuals to deliver nutritional advice that, theoretically, would be more suitable than …