Prospects of natural fiber-reinforced polymer composites for additive manufacturing applications: a review
The development of manufacturing processes in various sector applications has increased
rapidly to produce precise, superior quality, durable, and cost-effective products. In addition …
rapidly to produce precise, superior quality, durable, and cost-effective products. In addition …
Automated defect detection from ultrasonic images using deep learning
Nondestructive evaluation (NDE) is a set of techniques used for material inspection and
defect detection without causing damage to the inspected component. One of the commonly …
defect detection without causing damage to the inspected component. One of the commonly …
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
Object detection has been one of the most active topics in computer vision for the past years.
Recent works have mainly focused on pushing the state-of-the-art in the general-purpose …
Recent works have mainly focused on pushing the state-of-the-art in the general-purpose …
基于YOLOv3 锚框优化的侧扫声呐图像目标检测.
陈禹蒲, 马晓川, 李璇 - Journal of Signal Processing, 2022 - search.ebscohost.com
利用侧扫声呐图像来探查海底目标对海洋资源开采和海上军事防护都有重大意义.
目前人为提取图像特征进行目标检测的传统机器学习方法逐渐被深度学习取代 …
目前人为提取图像特征进行目标检测的传统机器学习方法逐渐被深度学习取代 …
Aerial object detection using deep learning: A review
V Goyal, R Singh, M Dhawley, A Kumar… - … : Select Proceedings of …, 2023 - Springer
Aerial object detection is a key to many functionalities like animal population estimation,
pedestrian counting, security systems and many more. Traditional methods made use of …
pedestrian counting, security systems and many more. Traditional methods made use of …
Traffic monitoring from the perspective of an unmanned aerial vehicle
The paper is focused on the development of the experimental web-based solution for image
processing from the perspective of an Unmanned Aerial Vehicle (UAV). Specifically, the …
processing from the perspective of an Unmanned Aerial Vehicle (UAV). Specifically, the …
Isdnet: Ai-enabled instance segmentation of aerial scenes for smart cities
Aerial scenes captured by UAVs have immense potential in IoT applications related to urban
surveillance, road and building segmentation, land cover classification, and so on, which are …
surveillance, road and building segmentation, land cover classification, and so on, which are …
Mapping smallholder plantation as a key to sustainable oil palm: A deep learning approach to high-resolution satellite imagery
The adverse impacts of oil palm plantations on socio-ecological conditions in Indonesia are
a prominent issue. While farming improvement in large-scale plantations has shown good …
a prominent issue. While farming improvement in large-scale plantations has shown good …
Oriented object detection in satellite images using convolutional neural network based on ResNeXt
Most object detection methods use a horizontal bounding box that causes problems
between adjacent objects with arbitrary directions, resulting in misaligned detection. Hence …
between adjacent objects with arbitrary directions, resulting in misaligned detection. Hence …
Using artificial intelligence to find design errors in the engineering drawings
R Dzhusupova, R Banotra, J Bosch… - Journal of Software …, 2023 - Wiley Online Library
Artificial intelligence is increasingly becoming important to businesses because many
companies have realized the benefits of applying machine learning (ML) and deep learning …
companies have realized the benefits of applying machine learning (ML) and deep learning …