Results 131 to 140 of about 13,384 (274)

Evaluation of Modeling Assumptions for Predicting Structural Damage and Train Derailment Under Earthquake Loading

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The rapid development of new railway networks and the aging of existing infrastructure in seismic‐prone regions continue to motivate the need for efficient methods to simulate the dynamic behavior of coupled train track structure systems. While detailed train–structure interaction (TSI) models can capture complex mechanisms, they are often too
Miguel A. Gomez, Matthew J. DeJong
wiley   +1 more source

Similar Material Simulation Study on Dam Movement and Deformation Law of Deep Coal Seam Mining Under Dam

open access: yesEnergy Science &Engineering, EarlyView.
Aiming at the difficulties in accurately calculating the movement and deformation of small‐sized, deep‐buried dams with a significant height‐to‐depth ratio in deep fully mechanized caving mining, this study proposes to separate the analysis of surface and dam deformation.
Zhang Feng   +7 more
wiley   +1 more source

Characteristics of Deformation and Damage of Multi‐Thin Composite Oil Shale Top Plate Under the Influence of Different Factors

open access: yesEnergy Science &Engineering, EarlyView.
In this study, the key control mechanism of surrounding rock stability is revealed by theoretical analysis and UDEC‐Trigon numerical simulation method, aiming at the problem that oil shale roof is prone to separation and slip deformation under complex stress.
Jiang Xiao   +5 more
wiley   +1 more source

Stress Redistribution Mechanisms and Subsidence Control of Fluidized Gangue Backfilling in Underground Coal Mining: Integrated Experimental and Numerical Investigation

open access: yesEnergy Science &Engineering, EarlyView.
Fluidized gangue backfilling controls mining subsidence through stress redistribution in composite backfill‐pillar systems, reducing surface settlement and stress concentrations. Multi‐scale experimental and numerical analysis provides quantitative design parameters for optimizing ground control in sustainable underground coal mining operations ...
Weilong Zhang   +11 more
wiley   +1 more source

Study on Damage Characteristics and Evolution Law of Macro‐Meso Structure of Surrounding Rock Under Mining Stress

open access: yesEnergy Science &Engineering, EarlyView.
Investigating the differential impact of mining stress on roadways, we find that in horizontally stressed environments, the inner surrounding rock exhibits more pronounced macro‐meso damage compared to the outer side. ABSTRACT The control of surrounding rocks in dynamic pressure roadways has consistently been one of the challenging predicaments in the ...
Fan Lei   +4 more
wiley   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan   +7 more
wiley   +1 more source

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

open access: yesFlavour and Fragrance Journal, EarlyView.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin   +3 more
wiley   +1 more source

An efficient deep learning model for brain tumour detection with privacy preservation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman   +8 more
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira   +5 more
wiley   +1 more source

High‐Resolution Ion Mobility Approach for Rapid Determination of Multiple Human Milk Oligosaccharide Isomer Ratios

open access: yesHelvetica Chimica Acta, EarlyView.
ABSTRACT This study presents a high‐throughput ion mobility approach that integrates flow injection analysis (FIA) with multiple stitched high‐resolution ion mobility ranges to enable comprehensive analysis of human milk oligosaccharide (HMO) isomer mixtures in a single acquisition.
Wenqing Xu   +5 more
wiley   +1 more source

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