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99.130  Articles
1 of 9.913 pages  |  10  records  |  more records»
In recent years, marine ecosystems and fisheries have become potential resources. Therefore, monitoring these objects will be essential to ensure their existence. One of the computer vision techniques is object detection, utilized to recognize and localiz... see more

Determining the harvesting period can be done visually, physically, computationally, and chemically. Since the harvesting process is crucial, late harvesting will affect post-harvest and production quality. Leafy vegetables have a relatively short ready-t... see more

Presence of damage leads to variation in modal properties of observed structures. The majority of studies use the changes in natural frequencies for damage detection. The reason is that the frequencies are often easily measurable with high accuracy by usi... see more

In agriculture, weeds cause direct damage to the crop, and it primarily affects the crop yield potential. Manual and mechanical weeding methods consume a lot of energy and time and do not give efficient results. Chemical weed control is still the best way... see more

Purpose: In the last decade, object detection is one of the interesting topics that played an important role in revolutionizing the present era. Especially when it comes to computer vision, object detection is a challenging and most fundamental problem. R... see more

Presence of damage leads to variation in modal properties of observed structures. The majority of studies use the changes in natural frequencies for damage detection. The reason is that the frequencies are often easily measurable with high accuracy by usi... see more

Simultaneous Localisation And Mapping (SLAM) In Dynamic Environments (IDE) may be improved by detecting and removing moving objects that may otherwise lead to localisation errors. This work combines convolutional neural networks and feature clustering to ... see more

Simultaneous Localisation And Mapping (SLAM) In Dynamic Environments (IDE) may be improved by detecting and removing moving objects that may otherwise lead to localisation errors. This work combines convolutional neural networks and feature clustering to ... see more

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