Sign Up to like & get
recommendations!
0
Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1887742
Abstract: Community detection in network data aims at grouping similar nodes sharing certain characteristics together. Most existing methods focus on detecting communities in undirected networks, where simil...
read more here.
Keywords:
directed community;
community detection;
detection network;
Sign Up to like & get
recommendations!
2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202222
Abstract: Recently, as the development cycle of applications has been shortened, it is important to develop rapid and accurate application testing technology. Since application testing requires a lot of cost, mobile GUI component detection technology using…
read more here.
Keywords:
detection network;
detection;
object detection;
mobile screen ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221400
Abstract: Early detection of network intrusions is a very important factor in network security. However, most studies of network intrusion detection systems utilize features for full sessions, making it difficult to detect intrusions before a session…
read more here.
Keywords:
network;
detection network;
detection;
network intrusions ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3086584
Abstract: Recently, deep convolutional neural networks (CNNs) have made important progress in cloud detection with powerful representation learning capability and yield significant performance. However, most existing CNN-based cloud detection methods still face serious challenges because of…
read more here.
Keywords:
convolutional cloud;
deformable convolutional;
detection;
detection network ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3381091
Abstract: In this letter, we propose a Double Strand robotic grasp detection Network (DSNet), that combines a transformer branch and a U-Net branch within an encoder-decoder structure. The DSNet is designed to reconcile differences between these…
read more here.
Keywords:
detection network;
grasp detection;
strand robotic;
double strand ... See more keywords
Sign Up to like & get
recommendations!
3
Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3269642
Abstract: In recent years, the performance of the deep-learning-based object detection models for remote-sensing images (RSIs) improves with the increase of the hyperparameter scale. However, the state-of-the-art detection models are generally too cumbersome to adapt to…
read more here.
Keywords:
network;
detection network;
network satellite;
oriented object ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2019.2962413
Abstract: In recent years, vehicle detectors built on deep convolutional neural network (DCNN) have been widely used in autonomous driving. Under the complex conditions of road traffic, the detector is expected to run in high speed…
read more here.
Keywords:
vehicle;
detection network;
autonomous driving;
group ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3174274
Abstract: In this paper, a novel grasp detection network, Efficient Grasp detection Network (EGNet), is proposed to deal with the grasp challenging in stacked scenes, which complete the tasks of the object detection, grasp detection and…
read more here.
Keywords:
detection network;
grasp;
egnet;
detection ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3550242
Abstract: Prolonged fatigue not only affects people’s learning and work efficiency but also leads to a series of symptoms such as insomnia and forgetfulness. Timely and accurately identifying fatigue states is crucial in various industries. However,…
read more here.
Keywords:
sgl net;
ultralightweight fatigue;
detection network;
net ultralightweight ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2025.10851364
Abstract: Insulators are critical components of power transmission lines. Due to environmental changes, insulators may fail, making timely and effective detection of these failures a pressing issue. However, the detection of inclined insulators faces challenges, such…
read more here.
Keywords:
detection;
smart grid;
detection network;
insulator ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.29.2.023027
Abstract: Abstract. Most previous target detection methods are based on the physical properties of visible-light polarization images, depending on different targets and backgrounds. However, this process is not only complicated but also vulnerable to environmental noises.…
read more here.
Keywords:
polarization image;
detection network;
network;
detection ... See more keywords