![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Open AccessExperimental study on joint sensing and early warning method of landslide disaster based on NPR-OFST
In order to explore more effective methods of landslide disaster monitoring and controlling, NPR anchor cable and optical fiber grating strain sensor are physically combined to form a slope reinforcement-monit...
-
Article
Open AccessFlow and sound fields of scaled high-speed trains with different coach numbers running in long tunnel
Segregated incompressible large eddy simulation and acoustic perturbation equations were used to obtain the flow field and sound field of 1:25 scale trains with three, six and eight coaches in a long tunnel, a...
-
Article
Open AccessRetraction Note: Meta-analysis of Artificial Intelligence-Assisted Pathology for the Detection of Early Cervical Cancer
-
Article
Open AccessBayesian inference-based wear prediction method for plain bearings under stationary mixed-friction conditions
This study introduces a method to predict the remaining useful life (RUL) of plain bearings operating under stationary, wear-critical conditions. In this method, the transient wear data of a coupled elastohydr...
-
Article
Open AccessFlexible wide-range multidimensional force sensors inspired by bones embedded in muscle
Flexible sensors have been widely studied for use in motion monitoring, human‒machine interactions (HMIs), personalized medicine, and soft intelligent robots. However, their practical application is limited by...
-
Article
Open AccessMemristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment
The performance improvement of CMOS computer fails to meet the enormous data processing requirement of artificial intelligence progressively. The memristive neural network is one of the most promising circuit ...
-
Article
Open AccessA novel method for imitating true-triaxial stress path with conventional triaxial apparatus
The stress paths of the cylindrical specimen in the p–q stress space by controlling the ratio of the axial and the radial loading is guaranteed to be consistent with the cuboid specimen, a novel method for imitat...
-
Article
Open AccessAnalysis of mesoscopic mechanical dynamic characteristics of ballast bed with under sleeper pads
The meso-dynamical behaviour of a high-speed rail ballast bed with under sleeper pads (USPs) was studied. The geometrically irregular refined discrete element model of the ballast particles was constructed usi...
-
Article
Open AccessThe Spatiotemporal Evolution Mechanism of Urban Rail Transit Fault Propagation in Networked Operation Modes
The cascading propagation and evolution of metro operation failures can significantly impact the safety of metro operation. To overcome this challenge, this study pre-processes a massive amount of metro operat...
-
Article
Open AccessLTACL: long-tail awareness contrastive learning for distantly supervised relation extraction
Distantly supervised relation extraction is an automatically annotating method for large corpora by classifying a bound of sentences with two same entities and the relation. Recent works exploit sound performa...
-
Article
Open AccessA psychological evaluation method incorporating noisy label correction mechanism
Using machine learning and deep learning methods to analyze text data from social media can effectively explore hidden emotional tendencies and evaluate the psychological state of social media account owners. ...
-
Article
Open AccessTconns: a novel time-varying context-aware offloading strategy for mobile edge computing
Mobility is a fundamental feature of mobile edge computing. Due to the mobility of users, the contextual attributes of cloudlets such as server resources and network state will dynamically change with time dur...
-
Article
Open AccessResearch on Time-Based Fare Discount Strategy for Urban Rail Transit Peak Congestion
To alleviate peak-hour congestion in urban rail transit, this study proposes a new off-peak fare discount strategy to incentivize passengers to shift their departure time from peak to off-peak hours. Firstly, ...
-
Article
Open AccessRETRACTED ARTICLE: Meta-analysis of Artificial Intelligence-Assisted Pathology for the Detection of Early Cervical Cancer
The objective of this study is to evaluate the accuracy of AI in the diagnosis of early cervical cancer using a systematic evaluation/meta-analysis approach and a comprehensive search of published literature. ...
-
Article
Correction to: Micromechanics-based analysis of PVA–ECC after thermal exposure
-
Article
Open AccessInfluence of advanced engineering measures on displacement and stress field of surrounding rock in tunnels crossing active strike-slip faults
Based on significant improvements in engineering materials, three advanced engineering measures have been proposed—super anchor cables, high-strength concrete anti-fault caverns, and grouting modification usin...
-
Article
Open AccessStratum Griseum Periventriculare-mediated Fear Emotion Regulates Motor Behavior in Pigeons
A pigeon robot is an ideal experimental animal for research in flying animal robots. The majority of current research publications have entailed electrical stimulation of the motor nuclei to regulate movement ...
-
Article
Open AccessA Gravitation-Based Hierarchical Community Detection Algorithm for Structuring Supply Chain Network
As industrial production outsourcing expands, the collaboration relationship of firms evolves to be more entangled, which means that the enterprise communities in the supply chain network become increasingly o...
-
Article
Open AccessRisk Chain Mining of Hazard Sources in Metro Operation System Safety: A New Method to Mine and Control Risk for Safety Management
With the promotion of the major strategy of national transportation power, the super-large-scale metro operation network has become an inevitable trend, and operation safety has become increasingly prominent. ...
-
Article
Open AccessAn Adaptive Lion Swarm Optimization Algorithm Incorporating Tent Chaotic Search and Information Entropy
This paper proposes an improved adaptive lion swarm optimization (LSO) algorithm integrating the chaotic search strategy and information entropy to address the problem that the standard LSO algorithm has slow ...