Results 121 to 130 of about 24,182 (212)

A GIS‐Integrated Active Learning Framework for Crash Severity Classification in Imbalanced Traffic Data

Transactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Classifying urban traffic crash severity remains challenging because severe incidents are underrepresented in highly imbalanced datasets. This challenge is further intensified by spatiotemporal shifts in data distributions, which can degrade model performance over time.
Reza Mohammadi, Mohammad Taleai
wiley   +1 more source

On the Mean‐Field Limit of Consensus‐Based Methods

Mathematical Methods in the Applied Sciences, Volume 49, Issue 5, Page 4214-4240, 30 March 2026.
ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley   +1 more source

Enhancing profits of hybrid wind-battery plants in spot and balancing markets using data-driven two-level optimization

International Journal of Electrical Power & Energy Systems
Nowadays, co-locate renewable power plants and energy storage systems, forming hybrid power plants (HPPs) have raised commercial interests. One popular configuration of HPP is the hybrid wind-battery plant (HWBP). This paper proposes a data-driven energy
Rujie Zhu, Kaushik Das, Poul E. Sørensen, Anca D. Hansen   +3 more
doaj   +1 more source

Quantization-based Bounds on the Wasserstein Metric

23 pages, 8 figures, 7 ...
Bobrutsky, Jonathan, Moscovich, Amit
openaire   +2 more sources

The Gini index in the representation theory of the general linear group [PDF]

Enumerative Combinatorics and Applications, 2023
Grant Kopitzke
doaj   +1 more source

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

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

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

GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review

IEEE Access
In 2014, Goodfellow et al. introduced Generative Adversarial Networks (GANs), an adversarial learning framework designed to generate synthetic data. In rolling bearing fault diagnosis and prognosis, specific GAN variants such as Conditional GANs (cGANs),
Md. Sulyman Islam Sifat, Md Alamgir Kabir, M. M. Manjurul Islam, Atiq Ur Rehman, Amine Bermak   +4 more
doaj   +1 more source