MFPINC: prediction of plant ncRNAs based on multi-source feature fusion [PDF]
Non-coding RNAs (ncRNAs) are recognized as pivotal players in the regulation of essential physiological processes such as nutrient homeostasis, development, and stress responses in plants.
Zhenjun Nie +4 more
doaj +4 more sources
Multi-Source Fusion Enhanced Feature Segmentation in Remote Sensing Imagery [PDF]
With deepening application of deep learning technology in the field of remote sensing, several challenges persist in the segmentation of remote sensing optical images.
S. Wang, Q. Zhou
doaj +3 more sources
LRCFuse: Infrared and Visible Image Fusion Based on Low-Rank Representation and Convolutional Sparse Learning [PDF]
With the development of cross-modal image fusion in multi-sensor systems, current fusion technologies have made significant progress in feature extraction, facilitating more effective image analysis.
Jingjing Liu +5 more
doaj +2 more sources
Multi-Source Feature Fusion Domain Adaptation Planetary Gearbox Fault Diagnosis Method
To address the challenges of fault diagnosis in wind turbine planetary gearboxes under strong noise and limited labeled target-domain data, this paper proposes a novel intelligent diagnostic method integrating multi-source feature fusion with domain ...
Xiwang Yang +5 more
doaj +2 more sources
Multi-source remote sensing image semantic segmentation can provide more detailed feature attribute information, making it an important research field for remote sensing intelligent interpretation.
Di Zhang +5 more
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Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learning [PDF]
To identify various oil well working conditions more accurately and practically from massive image data collected by multiple measured information sources of sucker-rod pumping wells, this paper proposes a working condition recognition method with three ...
Shuo Yang +3 more
doaj +2 more sources
CB-MTE: Social Bot Detection via Multi-Source Heterogeneous Feature Fusion
Social bots increasingly mimic real users and collaborate in large-scale influence campaigns, distorting public perception and making their detection both critical and challenging. Traditional bot detection methods, constrained by single-source features,
Meng Cheng +4 more
doaj +2 more sources
Driver Distraction Detection Based on Multi-scale Feature Fusion Network [PDF]
The occurrence of road traffic accidents has increased year by year.Driver inattention during driving is one of the major causes of traffic accidents.In this paper,we utilize multi-source data to detect driver distraction.However,the correlations derived
ZHANG Yu-xin, CHEN Yi-qiang
doaj +1 more source
Multi-band Image Self-supervised Fusion Method Based on Multi-discriminator [PDF]
In order to solve the problem that the fusion result is limited due to the over dependence on the label image when using the deep learning methods in the multi band image fusion field,a multi-band image feature-level self-supervised fusion method based ...
TIAN Song-wang, LIN Su-zhen, YANG Bo
doaj +1 more source
Multi-Source Feature Fusion Network for LAI Estimation from UAV Multispectral Imagery
The leaf area index (LAI) is a critical biophysical parameter that reflects crop growth conditions and the canopy photosynthetic potential, serving as a cornerstone in precision agriculture and dynamic crop monitoring. However, traditional LAI estimation
Lulu Zhang +7 more
doaj +2 more sources

