Results 131 to 140 of about 29,951 (232)

Deep Quake Dynamics: A Multimodal Fault‐Aware Approach to Earthquake Magnitude and Occurrence Time Forecasting

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
EQMT integrates earthquake catalog data, fault‐network geometry, engineered features, and graph embeddings in a unified framework for forecasting earthquake magnitude and occurrence time. The framework is designed to reflect inter‐fault spatial dependencies together with temporal seismic patterns, addressing limitations of approaches based only on ...
Kiymet Kaya, Murat Sahin, Furkan Mangir, Alp Baris Beydemir, Cenk Yaltirak, Sule Gunduz Oguducu   +5 more
wiley   +1 more source

Hitchhiker's Guide to the Swampland: The Cosmologist's Handbook to the String‐Theoretical Swampland Programme

Fortschritte der Physik, Volume 74, Issue 4, April 2026.
Abstract String theory has strong implications for cosmology, implying the absence of a cosmological constant, ruling out single‐field slow‐roll inflation, and that black holes decay. The origins of these statements are elucidated within the string‐theoretical swampland programme.
Kay Lehnert
wiley   +1 more source

On fuzzy topological spaces

Journal of Mathematical Analysis and Applications, 1981
AbstractIn this paper, a few separation properties and some aspects of subspace fuzzy topology have been studied, where both the crisp and the fuzzy elements have been taken into consideration. Since the conventional definition of compactness is not quite meaningful in Hausdorff fuzzy spaces (as introduced by us), a new more natural definition of ...
openaire   +2 more sources

Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Physics‐informed neural networks (PINNs) integrate physical constraints with neural architectures and leverage their nonlinear fitting capabilities to solve complex inverse problems. Tomography serves as a classic example, aiming to reconstruct subsurface velocity models to improve seismic exploration.
Yonghao Wang, Zhuo Jia, Bowu Jiang, Wenkai Lu   +3 more
wiley   +1 more source

CNXT‐Ti‐LT–Based Multi‐Scale Feature–Aware Susceptibility Mapping of Rainfall‐Induced Clustered Landslides in Southeast China

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract This study focuses on the clustered landslide event triggered by intense rainfall on 16 June 2024 in the Fujian–Guangdong–Jiangxi border region, aiming to develop an efficient deep learning model for high‐accuracy landslide susceptibility mapping. Based on the mapped landslide distribution and insights from field investigations, we constructed
Senlin Luo, Wuwei Mao, Zhiqiang Yang, Guoming Zheng, Zhonghui He, Jiahuang Wang, Yu Huang   +6 more
wiley   +1 more source

Depth‐Aware Global Calibration of SM2RAIN‐NWF Using Growing Neural Gas‐Derived Hydroclimatic Clusters Across Heterogeneous Soils

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Accurate rainfall information underpins land‐surface water budgets, extreme‐weather analyses, and climate‐model evaluation. Yet in many regions, rain gauge networks are sparse, making conventional calibration of bottom up rainfall products difficult. To address this, we propose a self calibration framework that removes the need for a dedicated
Mohammad Saeedi, Subin Kim, Euiyoung Choi, Hyunglok Kim, Venkataraman Lakshmi   +4 more
wiley   +1 more source

A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 464-482, April 2026.
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan, Siyu Wu, Chang Su, Nan Xiang, Zhijie Xu, Yushan Pan   +5 more
wiley   +1 more source

CHARACTERIZATIONS OF FUZZY SOFT PRE SEPARATION AXIOMS

Journal of New Theory, 2015
− The notions of fuzzy pre open soft sets and fuzzy pre closed soft sets were introducedby Abd El-latif et al. [2]. In this paper, we continue the study on fuzzy soft topological spaces andinvestigate the properties of fuzzy pre open soft sets, fuzzy pre
Alaa Mohamed Abd El-latif
doaj  

Structural Feature Selection in Common Spatial Patterns Using Adaptive Sparse Group Lasso

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 367-384, April 2026.
ABSTRACT With the advancement of brain–computer interfaces (BCI), motor imagery (MI) electroencephalogram (EEG) decoding can greatly benefit from spatial filtering features derived from common spatial patterns (CSP). However, CSP‐based features often exhibit high redundancy and intersubject variability.
Yadi Wang, Jiahao Zhang, Tengfei Zhou, Bingbing Jiang, Jiejiang Chen   +4 more
wiley   +1 more source

Distribution network planning based on double deep Q‐network with self‐adjusting parameters

Energy Conversion and Economics, Volume 7, Issue 2, Page 105-126, April 2026.
Abstract To address the challenge of low adaptability in distribution network planning caused by significant regional differences in electricity consumption, this paper proposes a distribution network planning method based on a self‐adjusting parameter double deep Q‐network (SAP‐DDQN).
Xingquan Ji, Kezhuang Xue, Yumin Zhang, Pingfeng Ye, Xizhen Xue, Zuqing Zheng, Yunqi Wang   +6 more
wiley   +1 more source