Results 131 to 140 of about 23,924 (195)

Erratum to “Strong equivalence between metrics of Wasserstein type”

Electronic Communications in Probability
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bayraktar, Erhan, Guo, Gaoyue
openaire   +2 more sources

MWG-UNet++: Hybrid Transformer U-Net Model for Brain Tumor Segmentation in MRI Scans

Bioengineering
The accurate segmentation of brain tumors from medical images is critical for diagnosis and treatment planning. However, traditional segmentation methods struggle with complex tumor shapes and inconsistent image quality which leads to suboptimal results.
Yu Lyu, Xiaolin Tian
doaj   +1 more source

Carbon-aware mobile energy storage system scheduling in active power distribution systems under PV and traffic uncertainties

Energy Reports
Carbon emission flow (CEF) is a promising approach for assessing both generation-and consumption-side carbon footprints in the power system sector. In this study, we propose a carbon-aware mobile energy storage system (MESS) scheduling framework that ...
Panggah Prabawa, Dae-Hyun Choi
doaj   +1 more source

Supervised Gromov–Wasserstein Optimal Transport with Metric-Preserving Constraints

SIAM Journal on Mathematics of Data Science
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zixuan Cang, Yaqi Wu, Yanxiang Zhao
openaire   +1 more source

Distributional robustness based on Wasserstein-metric approach for humanitarian logistics problem under road disruptions

Operations Research Perspectives
Humanitarian logistics plays a vital role in disaster management. However, it often faces the challenge of unpredictable road conditions when solving relief prepositioning problems to effectively respond to natural disasters.
Yingying Gao, Xianghai Ding, Wuyang Yu
doaj   +1 more source

Analysis of dynamically stable patterns in a maze-like corridor using the Wasserstein metric. [PDF]

Sci Rep, 2018
Ishiwata R, Kinukawa R, Sugiyama Y.
europepmc   +1 more source

Domain adaptation via Wasserstein distance and discrepancy metric for chest X-ray image classification

Scientific Reports
Deep learning technology can effectively assist physicians in diagnosing chest radiographs. Conventional domain adaptation methods suffer from inaccurate lesion region localization, large errors in feature extraction, and a large number of model ...
Bishi He, Yuanjiao Chen, Darong Zhu, Zhe Xu   +3 more
doaj   +1 more source

A Wasserstein-Space-Based Framework for Processing Fiber Orientation Geometry in Diffusion MRI. [PDF]

IEEE Trans Med Imaging
Nie X, Shi Y.
europepmc   +1 more source

Image generator for tabular data based on non-Euclidean metrics for CNN-based classification. [PDF]

PLoS One
Lin YR, Wu HM.
europepmc   +1 more source

Omnichannel pricing and inventory strategies considering live streaming selling: A data-driven distributionally robust optimization approach. [PDF]

PLoS One
Mou Y, Zhou H, Yang X, Guan Z.
europepmc   +1 more source