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Yolo-based uav technology: A review of the research and its applications
C Chen, Z Zheng, T Xu, S Guo, S Feng, W Yao, Y Lan - Drones, 2023 - mdpi.com
In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …
speed, with researchers focusing not only on the innovation of single technologies but also …
[HTML][HTML] Application of deep learning and machine learning models to detect COVID-19 face masks-A review
The continuous COVID-19 upsurge and emerging variants present unprecedented
challenges in many health systems. Many regulatory authorities have instituted the …
challenges in many health systems. Many regulatory authorities have instituted the …
[HTML][HTML] Evaluation of robust spatial pyramid pooling based on convolutional neural network for traffic sign recognition system
Traffic sign recognition (TSR) is a noteworthy issue for real-world applications such as
systems for autonomous driving as it has the main role in guiding the driver. This paper …
systems for autonomous driving as it has the main role in guiding the driver. This paper …
A low-cost UAV framework towards ornamental plant detection and counting in the wild
Object detection still keeps its role as one of the fundamental challenges within the computer
vision territory. In particular, achieving satisfying results concerning object detection from …
vision territory. In particular, achieving satisfying results concerning object detection from …
From machine learning to deep learning in agriculture–the quantitative review of trends
In the last two decades, we have witnessed the intensive development of artificial
intelligence in the field of agriculture. In this period, the transition from the application of …
intelligence in the field of agriculture. In this period, the transition from the application of …
UIT-ADrone: A novel drone dataset for traffic anomaly detection
Anomaly detection plays an increasingly important role in video surveillance and is one of
the issues that have attracted various communities, such as computer vision, machine …
the issues that have attracted various communities, such as computer vision, machine …
Real-time droplet detection for agricultural spraying systems: A deep learning approach
Nozzles are ubiquitous in agriculture: they are used to spray and apply nutrients and
pesticides to crops. The properties of droplets sprayed from nozzles are vital factors that …
pesticides to crops. The properties of droplets sprayed from nozzles are vital factors that …
Comparison of faster r-cnn and yolov5 for overlap** objects recognition
Classifying an overlap** object is one of the main challenges faced by researchers who
work in object detection and recognition. Most of the available algorithms that have been …
work in object detection and recognition. Most of the available algorithms that have been …
Detection and Quantification of Arnica montana L. Inflorescences in Grassland Ecosystems Using Convolutional Neural Networks and Drone-Based Remote Sensing
Arnica montana L. is a medicinal plant with significant conservation importance. It is crucial
to monitor this species, ensuring its sustainable harvesting and management. The aim of this …
to monitor this species, ensuring its sustainable harvesting and management. The aim of this …
Aerial Data Exploration: An in-Depth Study From Horizontal to Oriented Viewpoint
The development of technological devices, such as satellites and drones, has made it easier
to collect images and videos from the air. From these vast data sources, the problem of …
to collect images and videos from the air. From these vast data sources, the problem of …