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

