Image and audio caps: automated captioning of background sounds and images using deep learning
Image recognition based on computers is something human beings have been working on
for many years. It is one of the most difficult tasks in the field of computer science, and …
for many years. It is one of the most difficult tasks in the field of computer science, and …
Deep neural network correlation learning mechanism for CT brain tumor detection
M Woźniak, J Siłka, M Wieczorek - Neural Computing and Applications, 2023 - Springer
Modern medical clinics support medical examinations with computer systems which use
Computational Intelligence on the way to detect potential health problems in more efficient …
Computational Intelligence on the way to detect potential health problems in more efficient …
Research on road environmental sense method of intelligent vehicle based on tracking check
Y Han, B Wang, T Guan, D Tian, G Yang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Environment perception is the premise for intelligent vehicles to drive safely and stably.
Despite the rapid development of road detection technology based on visual images, it is …
Despite the rapid development of road detection technology based on visual images, it is …
Semi-supervised few-shot learning approach for plant diseases recognition
Background Learning from a few samples to automatically recognize the plant leaf diseases
is an attractive and promising study to protect the agricultural yield and quality. The existing …
is an attractive and promising study to protect the agricultural yield and quality. The existing …
Meta-learning baselines and database for few-shot classification in agriculture
Learning from a few samples to automatically recognize the pests or plants is an attractive
and promising study with a low cost of data to protect the agricultural yield and quality …
and promising study with a low cost of data to protect the agricultural yield and quality …
Human short long-term cognitive memory mechanism for visual monitoring in IoT-assisted smart cities
In the industry 4.0 era, the visualization and real-time automatic monitoring of smart cities
supported by the Internet of Things is becoming increasingly important. The use of filtering …
supported by the Internet of Things is becoming increasingly important. The use of filtering …
Tactile-based fabric defect detection using convolutional neural network with attention mechanism
This article proposes a fabric structure defect detection method based on the vision-based
tactile sensor. The result will be robust by using the tactile sensor regardless of dyeing …
tactile sensor. The result will be robust by using the tactile sensor regardless of dyeing …
Human inertial thinking strategy: A novel fuzzy reasoning mechanism for IoT-assisted visual monitoring
Computer vision has always been a hot field of research by contemporary scholars due to its
wide range of applications. As an important branch of this field, the visual monitoring …
wide range of applications. As an important branch of this field, the visual monitoring …
Diabetes detection using deep learning techniques with oversampling and feature augmentation
MT García-Ordás, C Benavides… - Computer Methods and …, 2021 - Elsevier
Background and objective: Diabetes is a chronic pathology which is affecting more and
more people over the years. It gives rise to a large number of deaths each year …
more people over the years. It gives rise to a large number of deaths each year …
Few-shot cotton leaf spots disease classification based on metric learning
X Liang - Plant Methods, 2021 - Springer
Background Cotton diceases seriously affect the yield and quality of cotton. The type of pest
or disease suffered by cotton can be determined by the disease spots on the cotton leaves …
or disease suffered by cotton can be determined by the disease spots on the cotton leaves …