The role of artificial intelligence in fighting the COVID-19 pandemic
The first few months of 2020 have profoundly changed the way we live our lives and carry
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
A brief survey on RGB-D semantic segmentation using deep learning
Semantic segmentation is referred to as a process of linking each pixel in an image to a
class label. With this pragmatic technique, it is possible to recognize different objects in an …
class label. With this pragmatic technique, it is possible to recognize different objects in an …
Ophthalmic disease detection via deep learning with a novel mixture loss function
X Luo, J Li, M Chen, X Yang, X Li - IEEE Journal of Biomedical …, 2021 - ieeexplore.ieee.org
With the popularization of computer-aided diagnosis (CAD) technologies, more and more
deep learning methods are developed to facilitate the detection of ophthalmic diseases. In …
deep learning methods are developed to facilitate the detection of ophthalmic diseases. In …
Design of Forward-Looking Sonar System for Real-Time Image Segmentation with Light Multi-Scale Attention Net
D Zhao, H Zhou, P Chen, Y Hu, W Ge… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Forward-looking sonar is a commonly used underwater detection device. However, due to
the complex underwater environment, small target areas, and blurred features, the detection …
the complex underwater environment, small target areas, and blurred features, the detection …
Recognition of sunflower growth period based on deep learning from UAV remote sensing images
Z Song, P Wang, Z Zhang, S Yang, J Ning - Precision Agriculture, 2023 - Springer
Accurate determination of crops growth period plays an important role in field management
and agricultural decision-making. The current work mostly extracts the crop normalized …
and agricultural decision-making. The current work mostly extracts the crop normalized …
A survey on image semantic segmentation using deep learning techniques
Image semantic segmentation is an important branch of computer vision of a wide variety of
practical applications such as medical image analysis, autonomous driving, virtual or …
practical applications such as medical image analysis, autonomous driving, virtual or …
Improving the awareness of sustainable smart cities by analyzing lifelog images and IoT air pollution data
Currently, air pollution has become the tremendous problem humankind has ever faced.
Countries governments have struggled with conflicting demands from industries benefits …
Countries governments have struggled with conflicting demands from industries benefits …
[PDF][PDF] Deep Learning-Based Model for Detection of Brinjal Weed in the Era of Precision Agriculture.
The overgrowth of weeds growing along with the primary crop in the fields reduces crop
production. Conventional solutions like hand weeding are labor-intensive, costly, and time …
production. Conventional solutions like hand weeding are labor-intensive, costly, and time …
MAGI: multistream aerial segmentation of ground images with small-scale drones
In recent years, small-scale drones have been used in heterogeneous tasks, such as border
control, precision agriculture, and search and rescue. This is mainly due to their small size …
control, precision agriculture, and search and rescue. This is mainly due to their small size …
Measuring the age-friendliness of streets' walking environment using multi-source big data: A case study in Shanghai, China
The rapidly aging population demands more public and academic attention to both the
physical and psychological needs of older adults. Walking is one of the most favored forms …
physical and psychological needs of older adults. Walking is one of the most favored forms …