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801
Application of the numerically obtained fundamental solutions in the field point-source method
Published 2016-12-01Get full text
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802
Applications of the Mittag-Leffler law to linear kinetic models & diffusion equations
Published 2025-05-01“…We observe that when we increase the number of computing terms, the series becomes closer to the exact solution so that the absolute error between the exact solution and the approximate solution becomes very small. …”
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803
Energy efficient design and implementation of approximate adder for image processing applications
Published 2025-01-01“…Approximate computing is a new technique that promises to speed up computations while preserving a level of precision suitable for error-tolerant systems such as neural networks and graphics. …”
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804
Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines
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805
Application of Machine Learning for Estimating the Physical Parameters of Three-Dimensional Fractures
Published 2024-12-01“…However, these methods are time-consuming and resource-intensive; therefore, this research explores the application of machine learning as an alternative method to predict the physical parameters of fractures such as permeability, surface roughness, and mean aperture. …”
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806
Research progress on the application of digital technology in the diagnosis and treatment of tooth wear
Published 2024-12-01“…In recent years, researchers have extensively studied the application of digital technology in tooth wear research from the perspectives of digital support devices, cutting-edge deep learning applications, technology diagnosis, design and prediction, and current limitations. …”
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807
Multi-Mode Coupling Enabled Broadband Coverage for Terahertz Biosensing Applications
Published 2025-06-01“…This work establishes a paradigm for miniaturized THz biosensors, advancing applications in practical molecular diagnostics and multi-analyte screening.…”
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808
Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis
Published 2025-07-01“…Automation of certain tasks can reduce human error and alleviate clinician workload, allowing more time for direct patient care. …”
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809
A New Surface Waters Downscaling Approach Applicable at Global Scale
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810
Application of machine learning in the determination of rock brittleness for CO2 geosequestration
Published 2025-06-01Get full text
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811
Computational and experimental study of thermal behavior in the oral cavity for biosensing applications
Published 2025-06-01Get full text
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812
The Representative Points of Generalized Alpha Skew-<i>t</i> Distribution and Applications
Published 2024-10-01“…This paper includes two real-data applications in which the GAST model appears adaptable to various types of data.…”
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813
A systematic review of neural network applications for groundwater level prediction
Published 2025-08-01“…This systematic review investigates the application of NNs for GWL prediction, focusing on the architectures of the various NN models employed. …”
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814
Image Similarity Quantum Algorithm and Its Application in Image Retrieval Systems
Published 2025-01-01“…The measurement of image similarity represents a fundamental task within the domain of image processing, enabling the application of sophisticated computational techniques to ascertain the degree of similarity between two images. …”
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815
Cancer Patients Missing Pain Score Information:- Application with Imputation Techniques
Published 2016-12-01Get full text
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816
Modified generalized Chen distribution, estimation and application using econometrics data
Published 2024-12-01Get full text
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817
Advancements in combustion technologies: A review of innovations, methodologies, and practical applications
Published 2025-04-01Get full text
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818
Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data
Published 2013-03-01Get full text
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819
Application of Observation Perturbation-based EDA Method to CMA Ensemble Forecasting
Published 2025-03-01“…It can be concluded that the observation perturbation scheme developed for CMA-MESO aligns with actual observation error characteristics, it can address uncertainties in the model initial analysis field stemming from observations, and multiple sets of observations generated can effectively represent uncertainties in observations. …”
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820