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461
A New Mathematical Model for Flank Wear Prediction Using Functional Data Analysis Methodology
Published 2014-01-01“…Regression coefficients of the model are in the form of time dependent functions that have been determined through the use of functional data analysis methodology. The mathematical model has been developed by means of applied cutting parameters and measured cutting forces components during the end milling of workpiece made of 42CrMo4 steel. …”
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462
Metaheuristic Algorithms for Optimization and Feature Selection in Cloud Data Classification Using Convolutional Neural Network
Published 2023-08-01“…Cloud forensics plays a vital role to address the security issues related to cloud computing by identifying, collecting and studying digital evidence in cloud environment.The aim of the research paper is to explore the concept of cloud forensic by applying optimization for feature selection before classification of data on cloud side. The data is classified as malicious and non-malicious using convolutional neural network. …”
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463
Nanoantenna modelling for their further use as data transmitter-receiver devices on 3-d integral circuits
Published 2020-12-01“…As a result of the study, a model has been identified that has the most balanced parameters suitable for its further use as the main device for receiving and transmitting data on three-dimensional integrated circuits.…”
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464
Data-Driven Estimation Models for Chloride Ion Diffusion Coefficient in Concrete Using Bayesian Approach
Published 2024-01-01“…To enhance the accuracy of chloride diffusivity estimation, this paper has collected 109 sets of experimental data. These data were used to develop a Bayesian prediction model for a more precise estimation of chloride diffusivity. …”
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465
Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation
Published 2013-01-01“…A case study using synthetic data demonstrates that Co-MCSS can appreciably improve simulation accuracy of soil types with both contributions from a legacy map and limited sample data. …”
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466
Using Adjoint-Based Forecast Sensitivity Method to Evaluate TAMDAR Data Impacts on Regional Forecasts
Published 2015-01-01“…This study evaluates the impact of Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observations on regional 24-hour forecast error reduction over the Continental United States (CONUS) domain using adjoint-based forecast sensitivity to observation (FSO) method as the diagnostic tool. …”
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467
Forecasting GICs and Geoelectric Fields From Solar Wind Data Using LSTMs: Application in Austria
Published 2022-03-01Get full text
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468
Application of Landsat High Spatial Resolution Phenological Synthesized Data in Mountainous Land Cover Classification
Published 2025-07-01“…Furthermore, the results demonstrate that, in the absence of terrain data, multi-year synthesized phenology data provide even greater enhancements in land cover classification accuracy using remote sensing imagery.…”
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469
Predictions of Equatorial Vertical Plasma Drift Using TEC Data and a Neural Network Model
Published 2025-06-01“…The uniqueness of VIPER is that it uses TEC data for the prediction, and the data is globally and readily available. …”
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470
Black Ice Prediction Model for Road Pavement Using Weather Forecast Data and GIS Database
Published 2022-12-01“…The model has been developed based on the Python programming language. …”
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471
A hybrid model for multimedia data compression using generative adversarial networks and chaotic encryption
Published 2025-12-01“…With the onset of web 2.0 and booming communication technologies like 5G, the amount of internet data being generated on a day-to-day basis has become massive and unimaginable. …”
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472
Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments
Published 2025-08-01Get full text
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473
Low Power Delay Product 8-bit ALU Design using Decoder and Data Selector
Published 2024-02-01“…This paper proposes a new low power 8 bit ALU digital circuit for nano scale regions. The proposed ALU has two 4x1 data selectors, 2x4 decoder and an adder circuit as sub modules. …”
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474
Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation
Published 2025-06-01“…The use of simulated data as pre-training for deep learning models has increased in different fields. …”
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475
A semantic segmentation framework with UNet-pyramid for landslide prediction using remote sensing data
Published 2024-12-01“…Currently, Deep Learning is constrained by the lack of applicability, lack of data, and low efficiency in landslide detection but with recent advancement in deep learning-based solutions for landslide detection has sparked considerable advantages over traditional techniques. …”
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476
Framework for Prioritizing Solutions in Overcoming Data Quality Problems Using Analytic Hierarchy Process (AHP)
Published 2019-01-01“…The results of the study indicate that the proposed model can be used to formulate solutions to data problems in BPS.…”
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477
Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data
Published 2025-06-01“…To improve the performance, data preprocessing is carried out using two techniques such as removal of missing values and imputing missing values using Random Forest Regressor (RFR). …”
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478
Pre – design survey of Ufa city squares using remote zoning data and GIS-technologies
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479
Assessment of Winter Season Air Quality in the Marmara Region Using GIS and Air Quality Data
Published 2018-01-01Get full text
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480
Vehicle Trajectory Reconstruction on Urban Traffic Network Using Automatic License Plate Recognition Data
Published 2021-01-01Get full text
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