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Deep learning techniques for vehicle detection and classification from images/videos: A survey
Detecting and classifying vehicles as objects from images and videos is challenging in
appearance-based representation, yet plays a significant role in the substantial real-time …
appearance-based representation, yet plays a significant role in the substantial real-time …
A real-time computer vision based approach to detection and classification of traffic incidents
To constructively ameliorate and enhance traffic safety measures in Saudi Arabia, a prolific
number of AI (Artificial Intelligence) traffic surveillance technologies have emerged …
number of AI (Artificial Intelligence) traffic surveillance technologies have emerged …
Deep anomaly detection in expressway based on edge computing and deep learning
J Wang, M Wang, Q Liu, G Yin, Y Zhang - Journal of Ambient Intelligence …, 2022 - Springer
In order to improve the real-time efficiency of expressway operation monitoring and
management, the anomaly detection in intelligent monitoring network of expressway based …
management, the anomaly detection in intelligent monitoring network of expressway based …
Satellite imagery and machine learning for channel member selection
Purpose This study aims to propose a new method to predict retail store performance using
publicly available satellite imagery data and machine learning (ML) algorithms. The goal is …
publicly available satellite imagery data and machine learning (ML) algorithms. The goal is …
A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images
Heavy-duty trucks serve as the backbone of the supply chain and have a tremendous effect
on the economy. However, they severely impact the environment and public health. This …
on the economy. However, they severely impact the environment and public health. This …
Trustworthy Artificial Intelligence in the context of Metrology
We review research at the National Physical Laboratory (NPL) in the area of trustworthy
artificial intelligence (TAI), and more specifically trustworthy machine learning (TML), in the …
artificial intelligence (TAI), and more specifically trustworthy machine learning (TML), in the …
A Systematic Review of Deep Learning for Intelligent Transportation Systems with Analysis and Perspectives
This study presents a systematic review of deep learning for intelligent transportation
systems. Statistics are used to find the most cited articles, and the number of articles and …
systems. Statistics are used to find the most cited articles, and the number of articles and …
A novel AMS-DAT algorithm for moving vehicle detection in a satellite video
Satellite videos have recently served as a new data source for a wide range of applications
in traffic management and military surveillance. Due to its wider coverage, satellite videos …
in traffic management and military surveillance. Due to its wider coverage, satellite videos …
Comparison of deep learning models in terms of multiple object detection on satellite images
The images obtained by remote sensing contain important data about ground surface. It is
an important issue to detect objects on the ground surface with these images. Deep learning …
an important issue to detect objects on the ground surface with these images. Deep learning …
Derin öğrenme tabanlı saklanan kamufle tankların tespiti: son teknoloji YOLO ağlarının karşılaştırmalı analizi
Düşman hedeflerinin tespiti ve takibi, askeri operasyonlar için hayati öneme sahiptir. Bu
çalışmada, kamufle tankların tespiti için derin öğrenme tekniklerinin kullanılması …
çalışmada, kamufle tankların tespiti için derin öğrenme tekniklerinin kullanılması …