Application of machine vision system in food detection

Z Xiao, J Wang, L Han, S Guo, Q Cui - Frontiers in Nutrition, 2022 - frontiersin.org
Food processing technology is an important part of modern life globally and will undoubtedly
play an increasingly significant role in future development of industry. Food quality and …

A processing-in-pixel-in-memory paradigm for resource-constrained tinyml applications

G Datta, S Kundu, Z Yin, RT Lakkireddy, J Mathai… - Scientific Reports, 2022 - nature.com
The demand to process vast amounts of data generated from state-of-the-art high resolution
cameras has motivated novel energy-efficient on-device AI solutions. Visual data in such …

Artificial intelligent systems for vehicle classification: A survey

SH Tan, JH Chuah, CO Chow, J Kanesan… - … Applications of Artificial …, 2024 - Elsevier
Digitalization is revolutionizing our way of life and catalyzing the transformation into smart
city. Intelligent Transportation System (ITS) being an indispensable component of smart city …

Improving accuracy in state of health estimation for lithium batteries using gradient-based optimization: Case study in electric vehicle applications

M El Marghichi, S Dangoury, Y Zahrou, A Loulijat… - Plos one, 2023 - journals.plos.org
Significant improvements in battery performance, cost reduction, and energy density have
been made since the advancements of lithium-ion batteries. These advancements have …

Dynamic graph convolution neural network based on spatial-temporal correlation for air quality prediction

A Dun, Y Yang, F Lei - Ecological Informatics, 2022 - Elsevier
Air pollution is a serious threat to both the ecological environment and the physical health of
individuals. Therefore, accurate air quality prediction is urgent and necessary for pollution …

Improving underwater visual tracking with a large scale dataset and image enhancement

B Alawode, FA Dharejo, M Ummar, Y Guo… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper presents a new dataset and general tracker enhancement method for
Underwater Visual Object Tracking (UVOT). Despite its significance, underwater tracking …

Deep learning-based computer vision methods for complex traffic environments perception: A review

T Azfar, J Li, H Yu, RL Cheu, Y Lv, R Ke - Data Science for Transportation, 2024 - Springer
Computer vision applications in intelligent transportation systems (ITS) and autonomous
driving (AD) have gravitated towards deep neural network architectures in recent years …

Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors

MAA Kaiser, G Datta, Z Wang, AP Jacob… - Frontiers in …, 2023 - frontiersin.org
Edge devices equipped with computer vision must deal with vast amounts of sensory data
with limited computing resources. Hence, researchers have been exploring different energy …

Real-time monocular joint perception network for autonomous driving

K Li, H Xiong, J Liu, Q Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Comprehensive and accurate perception of the real 3D world is the basis of autonomous
driving. However, many perceptual methods focus on a single task or object type, and the …

Two-phase flow pattern identification by embedding double attention mechanisms into a convolutional neural network

W Qiao, H Guo, E Huang, H Chen, C Lian - Journal of Marine Science …, 2023 - mdpi.com
There are inevitable multiphase flow problems in the process of subsea oil-gas acquisition
and transportation, of which the two-phase flow involving gas and liquid is given much …