Multi-physical Interpretable Deep Learning Network for Oil Spill Identification Based on SAR Images
J Fan, Z Sui, X Wang - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
The application of deep learning algorithms to oil spill identification in synthetic aperture
radar (SAR) remote sensing images has enabled substantial progress. However, the end-to-…
radar (SAR) remote sensing images has enabled substantial progress. However, the end-to-…
Co-YOLOv7: An Efficient Oil Spill Identification Network Based on SAR Images
Z Sui, S Jiang, X Wang, J Fan - International Symposium on Neural …, 2024 - Springer
Oil spills cause significant damage to marine ecosystems, resulting in substantial ecological
and economic losses. Synthetic aperture radar (SAR) is widely utilized in oil spill detection …
and economic losses. Synthetic aperture radar (SAR) is widely utilized in oil spill detection …
Adversarial preference learning with pairwise comparisons
… ACM Reference Format: Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun
Cao, … We note sui = s(vu,vi ) and sui > suj means user u prefers item i to item j. The training …
Cao, … We note sui = s(vu,vi ) and sui > suj means user u prefers item i to item j. The training …
Implicit feedbacks are not always favorable: Iterative relabeled one-class collaborative filtering against noisy interactions
… Contrary to pointwise methods forcing sui to 0/1, these methods expand the margin between
the observed and unobserved interactions by optimizing the BPR loss function [24, 26, 27, …
the observed and unobserved interactions by optimizing the BPR loss function [24, 26, 27, …
Heterogeneous Social Event Detection via Hyperbolic Graph Representations
Social events reflect the dynamics of society and, here, natural disasters and emergencies
receive significant attention. The timely detection of these events can provide organisations …
receive significant attention. The timely detection of these events can provide organisations …
SelfMixed: Self-supervised Mixed Noise Attenuation for Distributed Acoustic Sensing Data
Distributed acoustic sensing (DAS) is an emerging data acquisition technique known for its
high sensing density, cost-effectiveness, and environmental friendliness, making it a …
high sensing density, cost-effectiveness, and environmental friendliness, making it a …
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Graph anomaly detection is crucial for identifying nodes that deviate from regular behavior
within graphs, benefiting various domains such as fraud detection and social network. …
within graphs, benefiting various domains such as fraud detection and social network. …
Unsupervised Vehicle Re-Identification Based on Cross-Style Semi-Supervised Pre-Training and Feature Cross-Division
G Zhan, Q Wang, W Min, Q Han, H Zhao, Z Wei - Electronics, 2023 - mdpi.com
Vehicle Re-Identification (Re-ID) based on Unsupervised Domain Adaptation (UDA) has
shown promising performance. However, two main issues still exist: (1) existing methods that …
shown promising performance. However, two main issues still exist: (1) existing methods that …
Study on the natural and humanistic environment of runcheng town
N Huijun, W Jinping - IOP Conference Series: Earth and …, 2018 - iopscience.iop.org
Runcheng town is one of the first Chinese characteristic towns to be selected in Shanxi province.
It is 38 kilometers from the Jin city and 7 kilometers from Yangcheng County. It's also an …
It is 38 kilometers from the Jin city and 7 kilometers from Yangcheng County. It's also an …
Clinicopathological and prognostic significance of long noncoding RNA MALAT1 in human cancers: a review and meta-analysis
J Li, Z Cui, H Li, X Lv, M Gao, Z Yang, Y Bi… - Cancer cell …, 2018 - Springer
Background The aberrant regulation of MALAT1 has been indicated to be involved in various
carcinogenic pathways contributing to the tumourigenesis and progression of cancers. The …
carcinogenic pathways contributing to the tumourigenesis and progression of cancers. The …