Land use land cover classification of remote sensing images based on the deep learning approaches: a statistical analysis and review
Over the last few years, deep learning (DL) techniques have gained popularity and have
become the new standard for data processing in remote sensing analysis. Deep learning …
become the new standard for data processing in remote sensing analysis. Deep learning …
A review of deep leaning in image classification for mineral exploration
Efficient sorting and optimal utilization have become the common core issues for today's
mining industry. Vision-based sorting technology provides a powerful answer to this …
mining industry. Vision-based sorting technology provides a powerful answer to this …
Key Points Tracking and Grooming Behavior Recognition of Bactrocera minax (Diptera: Trypetidae) via DeepLabCut
W Zhan, Y Zou, Z He, Z Zhang - Mathematical problems in …, 2021 - Wiley Online Library
Statistical analysis of Bactrocera grooming behavior is important for pest control and human
health. Based on DeepLabCut, this study proposes a noninvasive and effective method to …
health. Based on DeepLabCut, this study proposes a noninvasive and effective method to …
Passenger Flow Prediction of Integrated Passenger Terminal Based on K‐Means–GRNN
Y Tan, H Liu, Y Pu, X Wu, Y Jiao - Journal of Advanced …, 2021 - Wiley Online Library
As the passenger flow distribution center cooperating with various modes of transportation,
the comprehensive passenger transport hub brings convenience to passengers. With the …
the comprehensive passenger transport hub brings convenience to passengers. With the …
Evaluating the Efficacy of Deep Learning Architectures in Predicting Traffic Patterns for Smart City Development
Smart city development necessitates the implementation of effective traffic management
strategies. In this vein, various deep learning architectures, including VGG16Net …
strategies. In this vein, various deep learning architectures, including VGG16Net …
A review of deep learning models for traffic flow prediction in Autonomous Vehicles
More and more rapid development has been seen in the last decade in self-driving car
technologies, mostly developments in the field of machine learning and deep learning. The …
technologies, mostly developments in the field of machine learning and deep learning. The …
[PDF][PDF] TO WHAT EXTENT CAN A GRAPH CONVOLUTIONAL NEURAL NETWORK BE USED TO PREDICT PASSENGER INFLOW?
TR DORJEE - arno.uvt.nl
As cities grow bigger and denser, the need for sustainable urban planning has increased
with climate change already impacting urban life. A well-functioning public transport network …
with climate change already impacting urban life. A well-functioning public transport network …