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6681
Temperature dynamics and mechanical properties analysis of carbon fiber epoxy composites radiated by nuclear explosion simulated light source
Published 2025-01-01“…The insights gained from this comprehensive analysis are essential for the rapid prediction of temperature changes and the formulation of robust light radiation protection strategies for equipment exposed to nuclear explosion environments.…”
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6682
Risk Assessment of Water and Sand Inrush in Mining under Thick Loose Layer Based on Comprehensive Weight-Cloud Model
Published 2023-01-01“…When mining near the loose layers, there is a risk of water and sand inrush, which threatens the personal safety of miners. The prediction of sudden water and sand inrush is difficult due to the comprehensive influence of many factors, and the influencing factors are fuzzy and random. …”
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6683
Multidisciplinary understanding of modifiable physical disability risk factors for health professionals: A scoping review protocol.
Published 2024-01-01“…This scoping review will map and synthesize the literature across healthcare disciplines to identify modifiable risk factors and the evidence related to their ability to predict physical disability. We will also draw attention to the possibility of modifiable risk factors for physical disability being operationalized as pre-disability in order to strengthen primary and secondary prevention efforts.…”
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6684
Breast cancer classification based on hybrid CNN with LSTM model
Published 2025-02-01“…The CNN-LSTM model achieved superior performance with accuracies of 99.17% and 99.90% on the respective datasets. This paper uses prediction evaluation metrics such as accuracy, sensitivity, specificity, F-score, and the AUC curve. …”
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6685
Response of the Magnetospheric Convection Electric Field (MCEF) to Geomagnetic Storms During the Solar Cycle 24 Maximum Phase
Published 2025-01-01“…These results provide us with some information on the complete evolution of geomagnetic storms, with a view to better prediction.…”
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6686
From data to diagnosis: leveraging deep learning in IoT-based healthcare
Published 2024-11-01“…This article explores the advanced architectures of deep learning and their application in healthcare IoT, emphasizing the enhancement of disease prediction models, medical image analysis, and real-time health monitoring systems. …”
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6687
Mapping Temperature Zone of Ethiopia for Binder Performance Grading System
Published 2025-01-01“…First, the PG map was developed using 20 years of air temperature data from the National Meteorological Agency. The SHRP prediction model was applied to convert air temperature to pavement temperature, yielding a PG classification with 98% reliability. …”
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6688
Deep Learning for Traffic Scene Understanding: A Review
Published 2025-01-01“…It examines fundamental techniques such as classification, object detection, and segmentation, and extends to more advanced applications like action recognition, object tracking, path prediction, scene generation and retrieval, anomaly detection, Image-to-Image Translation (I2IT), and person re-identification (Person Re-ID). …”
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6689
Experiment of Carbonate Dissolution: Implication for High Quality Carbonate Reservoir Formation in Deep and Ultradeep Basins
Published 2017-01-01“…Our study could provide theoretical basis for the prediction of high quality carbonate reservoirs in deep and ultradeep layers.…”
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6690
Morphology Effect of Surface Structures on Microchannel Flow Using Lattice Boltzmann Method
Published 2019-01-01“…The finding for morphology effect on fluid flow can supply a reference for the prediction of the permeability of complex channels or fractures.…”
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6691
Doppler Effect Estimation and Compensation for Satellite Systems in Geolocation Problems
Published 2025-01-01“…The purpose of the paper is not only to provide a reference model to predict the necessary correction on the frequency of the signal due to the Doppler effect, but also to present a real-time strategy for compensation in the pipeline of signal processing after its geolocation. …”
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6692
A study on the acoustic propagation characteristics of circular expanding ducts using the finite element method
Published 2025-01-01“…Studying the acoustic propagation characteristics of circularly expanding ducts is thus crucial for optimal design and noise control. Traditional prediction methods do not adequately account for three-dimensional wave effects inside a duct. …”
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6693
Investigation of Micro- and Nanosized Particle Erosion in a 90° Pipe Bend Using a Two-Phase Discrete Phase Model
Published 2014-01-01“…This paper addresses erosion prediction in 3-D, 90° elbow for two-phase (solid and liquid) turbulent flow with low volume fraction of copper. …”
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6694
Layperson-Oriented versus Clinical-Based Models for Assessing 10-Year Incidence of Coronary Heart Disease: National FINRISK Study
Published 2011-01-01“…The predicted rates matched well with the observed ones (P>0.10). …”
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6695
Analysis Methods for Aerodynamic Instability Detection on a Multistage Axial Compressor
Published 2021-01-01“…The dynamic instability prediction performance of the two methods is studied on a low-speed and a high-speed two-stage axial compressor. …”
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6696
Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework
Published 2024-12-01“…This method provides effective technical support for intelligent traffic management, traffic flow monitoring, and congestion prediction.…”
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6697
Mechanical Properties of Paste Slurry under Constant Shear Rate in Initial Structure Failure Process
Published 2019-01-01“…The results showed that the model equation had higher prediction accuracy and better popularity. In the initial structural failure stage, the paste had a nonlinear stress-time relationship. …”
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6698
Mechanical Response of Surrounding Rock of Karst Tunnel under Stress-Damage-Seepage Coupling Effect
Published 2022-01-01“…The research achievements provide an important theoretical basis for prediction and treatment for dynamical disaster of karst tunnel.…”
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6699
A Brief Review of Network Embedding
Published 2019-03-01“…Learning the representations of nodes in a network can benefit various analysis tasks such as node classification, link prediction, clustering, and anomaly detection. Such a representation learning problem is referred to as network embedding, and it has attracted significant attention in recent years. …”
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6700
Pulmonary Hypertension due to a Pulmonary Artery Leiomyosarcoma: A Case Report
Published 2013-01-01“…In addition to clinical prediction scores and CT and MRI findings to identify the patients with pulmonary artery sarcoma, PET scanning is the diagnosis of choice in differentiating embolism and neoplasm and is strongly recommended in these patients.…”
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