Results 51 to 60 of about 208 (129)

Field Tests and the Numerical Analysis of a Pile-Net Composite Foundation for an Intelligent Connected Motor-Racing Circuit

Buildings
In response to the problem of significant post-construction settlement that may occur in a motor racing circuit (MRC), two representative composite foundation testing areas, PHC pile (pre-tensioned spun high-strength concrete pile) and CFG pile (cement ...
Xiaonan Wang, Qitao Pei
doaj   +1 more source

Deformation behaviors and variable rigidity design with equilibrium settlement for CFG pile composite foundation of large storage tanks

Yantu gongcheng xuebao, 2018
The foundation of large storage tanks has requirements of large bearing capacity and limited differential settlement. Because the natural foundation generally cannot meet the requirements of bearing capacity and deformation, it needs to be treated. It is
LI Ji-cai 1, 2, LI Neng-hui 1, CONG Jian 1, CAO Yong-lang 1, CAO Jun 1, 2
doaj   +1 more source

Coupling Parsivel2 Measured Raindrop Size Distributions and Fall Velocity Estimates to Characterise Rainfall Simulators

Hydrological Processes, Volume 40, Issue 3, March 2026.
This study characterises drip‐type and pressurised rainfall simulators using photographic, disdrometric and empirical fall‐velocity approaches. Results show that the Parsivel2 optical disdrometer systematically underestimates raindrop fall velocity for both simulator types.
Maria Angela Serio, Roberto Caruso, Vito Ferro, Stefania Fiorenza, Francesco Giuseppe Carollo   +4 more
wiley   +1 more source

Securing the Unseen: A Comprehensive Exploration Review of AI‐Powered Models for Zero‐Day Attack Detection

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam, Nuruzzaman Faruqui, Akm Azad, Mohammad Ali Moni   +3 more
wiley   +1 more source

Fabrication of Multifunctional FeSi Gyroid Lattice Composites via Additive Manufacturing and Polymer Infiltration

Advanced Engineering Materials, Volume 28, Issue 3, 4 February 2026.
A two‐step approach combining laser powder bed fusion of FeSi electrical steel with Bakelite infiltration enables the fabrication of multifunctional gyroid lattice composites. The resulting structures exhibit high strength, magnetic anisotropy, and complete polymer infiltration, demonstrating a simple and scalable route toward lightweight, mechanically
Angelo F. Andreoli, Mayumi A. Nakahashi, Vitor E. Pinotti, Felipe O. C. Bernardo, Lidiane C. Costa, Francisco G. Coury, Ronei C. de Oliveira, Adilson J. A. de Oliveira, Carlos E. H. Ventura, Piter Gargarella   +9 more
wiley   +1 more source

Skillful Short‐Term Forecasting of Clouds With a Cascade Diffusion Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Accurate short‐term forecasting of clouds from satellite imagery is a foundational technology for downstream meteorological disaster mitigation and aviation safety enhancement systems, particularly in developing countries and remote areas lacking ground‐based observation infrastructure.
Haoming Chen, Xiaohui Zhong, Qiang Zhai, Xiaomeng Li, Ying Wa Chan, Pak Wai Chan, Muqing Yang, Yuanyuan Huang, Hao Li, Xiaoming Shi   +9 more
wiley   +1 more source

Finite Element Analysis about the Properties of CFG-Pile Composite Foundation Based on Parametric Language PYTHON

, 2011
As an international general finite element analysis software, ABAQUS has super nonlinear analysis function and is playing an increasingly important role in the numerical calculation analysis of geotechnical engineering structures.
Yong Gang Lv, Ren Guo Gu, Ke Zhu, Wei Dong Pan   +3 more
core   +1 more source

Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance

Concurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.
ABSTRACT Software fault prediction (SFP) plays a crucial role in modern software development by enabling early identification of fault‐prone modules and efficient allocation of testing resources. While deep learning approaches have shown promise in this domain, challenges persist regarding architectural choices, metric selection, and class imbalance ...
Khoa Phung, Mehmet E. Aydin, Emmanuel Ogunshile   +2 more
wiley   +1 more source

Diffusion Models and Its Applications in Image Dehazing: A Survey

IET Image Processing, Volume 20, Issue 1, January/December 2026.
1.This survey represents the first systematic and comprehensive overview of diffusion model‐based image dehazing, aiming to provide a valuable guide for future researchers and stimulate continued progress in this field. 2.We summarize relevant papers along with their corresponding code links and other resources for image dehazing and all‐in‐one image ...
Liangyu Zhu, Yanzhao Su, Zhigao Cui, Yunwei Lan, Nian Wang, Lanqing Zhang, Yanping Cai   +6 more
wiley   +1 more source

Sig2text: A Vision‐Language Model for Non‐Cooperative Radar Signal Parsing

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
We propose Sig2text, a symbolic radar signal recognition and parameter estimation framework that treats waveform analysis as a parsing task using a vision‐language model. By integrating time‐frequency representations with a context‐free grammar and transformer‐based architectures, Sig2text accurately identifies complex modulation types and estimates ...
Jun‐Yu Yuan, Si‐Yuan Chen, Shu‐Jian Yao, Rong Zhang, Han Cong Feng, Kai‐li Jiang, Yu‐Xin Shang, Yu‐Xin Zhao, Bin Tang   +8 more
wiley   +1 more source