Results 51 to 60 of about 116,076 (264)

An Automatic Sample Augmentation Method for Paddy Rice Mapping Based on Segment Anything Model and Phenological Features—A Case Study in Southwest China

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The remote sensing mapping of paddy rice in Southwest China faces challenges such as fragmented parcels and difficulties in field sample collection, hindering deep learning technology applications. To address sample scarcity for deep learning-based paddy
Ziyi Tang   +5 more
doaj   +1 more source

Data augmentation for dealing with low sampling rates in NILM

open access: yesCoRR, 2021
10 pages, 3 figures, 6 ...
Tai Le Quy   +3 more
openaire   +2 more sources

Supporting Survivor‐Centered Care Through Digital Health Integration

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak   +15 more
wiley   +1 more source

Side-Scan Sonar Image Augmentation Method Based on CC-WGAN

open access: yesApplied Sciences
The utilization of deep learning algorithms for side-scan sonar target detection is impeded by the restricted quantity and representativeness of side-scan sonar (SSS) samples.
Junhui Zhu   +4 more
doaj   +1 more source

Serum Myonectin Levels Are Positively Associated With Physical Function and Lower Frailty‐Related Limitation in Maintenance Hemodialysis Patients: A Cross‐Sectional Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono   +7 more
wiley   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Improving the Transferability of Adversarial Samples by Path-Augmented Method

open access: yes2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Deep neural networks have achieved unprecedented success on diverse vision tasks. However, they are vulnerable to adversarial noise that is imperceptible to humans. This phenomenon negatively affects their deployment in real-world scenarios, especially security-related ones.
Jianping Zhang 0002   +7 more
openaire   +2 more sources

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

open access: yesFEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga   +3 more
wiley   +1 more source

Abnormal Load Variation Forecasting in Urban Cities Based on Sample Augmentation and TimesNet

open access: yesSmart Cities
With the evolving urbanization process in modern cities, the tertiary industry load and residential load start to take up a major proportion of the total urban power load.
Yiyan Li   +5 more
doaj   +1 more source

Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification

open access: yesRemote Sensing, 2021
For both traditional classification and current popular deep learning methods, the limited sample classification problem is very challenging, and the lack of samples is an important factor affecting the classification performance.
Wenning Wang, Xuebin Liu, Xuanqin Mou
doaj   +1 more source

Home - About - Disclaimer - Privacy