Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
testing algorithm » cosine algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
case modeling » based modeling (Expand Search)
data testing » data using (Expand Search)
element » elements (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
testing algorithm » cosine algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
case modeling » based modeling (Expand Search)
data testing » data using (Expand Search)
element » elements (Expand Search)
-
101
The automation of the development of classification models and improvement of model quality using feature engineering techniques
Published 2023“…<p>Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. …”
-
102
The effects of data balancing approaches: A case study
Published 2023“…In this research, classification algorithms, combined with resampling strategies and dimensionality reduction methods, were investigated to find a prediction model to correctly identify the samples of treated animals. …”
-
103
KNNOR: An oversampling technique for imbalanced datasets
Published 2021“…The proposed method is compared with the ten top performing contemporary oversamplers by testing the accuracy of classifiers trained on augmented data provided by each oversampler. …”
-
104
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
Published 2017Get full text
doctoralThesis -
105
-
106
A Parallel Genetic Algorithm for the Geometrically Constrained Site Layout Problem with Unequal-Size Facilities
Published 2010“…Parallel genetic algorithms techniques have been used in a variety of computer engineering and science areas. …”
Get full text
Get full text
Get full text
article -
107
Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
Published 2025“…Cohesive data collections exceeding four hundred molecules under standardized test conditions deliver coefficients of determination above 0.90 and root-mean-square errors below 0.05. …”
-
108
Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
Published 2017“…Fletcher & Co. facility. This paper reviews testing procedures, data analysis, updated algorithms used for joint detection, and discusses the latest round of testing in samples with simulated joints at various angles along the borehole.…”
Get full text
Get full text
Get full text
conferenceObject -
109
Enhanced leaf model vs. original MLC modeling in Eclipse TPS: impact on planning deliverability accuracy
Published 2026“…<h3 dir="ltr">Purpose</h3><p dir="ltr">This study aims to compare the dosimetric accuracy between the enhanced leaf model (ELM) in Eclipse V18.0 and the traditional multileaf collimators (MLCs) modelling in Eclipse V16.1 for volumetric modulated arc therapy (VMAT) and stereotactic body radiotherapy (SBRT) treatments. …”
-
110
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Published 2021“…The outcomes of the DNA microarray is a table/matrix, called gene expression data. Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …”
Get full text
-
111
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
Published 2022“…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …”
-
112
PILE-UP FREE PARAMETER ESTIMATION AND DIGITAL ONLINE PEAK LOCALIZATION ALGORITHMS FOR GAMMA RAY SPECTROSCOPY
Published 2020“…The classification technique has the unique feature of cutting down the computation largely by only allowing the event of interest to be executed by a particular algorithm. The pulse classification technique was tested successfully on a TMS320C6000 high performance floating-point processor to give an execution time down to 2 msec.…”
Get full text
article -
113
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …”
-
114
Detecting sleep outside the clinic using wearable heart rate devices
Published 2022“…We developed and tested a heart rate-based algorithm that captures inter- and intra-individual sleep differences in free-living conditions and does not require human input. …”
-
115
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
Published 2022“…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …”
-
116
An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure
Published 2024“…The proposed algorithm overcomes these limitations by providing an effective solution to maintain a logarithmic cost in case of node failures. …”
-
117
Haplotype inference by pure-parsimony using revamped delayed haplotype selection. (c2011)
Published 2011Get full text
Get full text
masterThesis -
118
Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
Published 2019“…These results are further validated by comparing the performance of both algorithms for CEED on IEEE 30 bus test bed.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Energies<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en12112037" target="_blank">https://dx.doi.org/10.3390/en12112037</a></p>…”
-
119
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
Published 2021“…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …”
-
120