بدائل البحث:
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
data testing » data using (توسيع البحث)
element » elements (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
data testing » data using (توسيع البحث)
element » elements (توسيع البحث)
-
101
-
102
Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 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. …"
-
103
Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
منشور في 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.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
104
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
منشور في 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. …"
احصل على النص الكامل
-
105
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
منشور في 2022"…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …"
-
106
PILE-UP FREE PARAMETER ESTIMATION AND DIGITAL ONLINE PEAK LOCALIZATION ALGORITHMS FOR GAMMA RAY SPECTROSCOPY
منشور في 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.…"
احصل على النص الكامل
article -
107
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …"
-
108
Detecting sleep outside the clinic using wearable heart rate devices
منشور في 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. …"
-
109
-
110
Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
منشور في 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>…"
-
111
A Framework for Predictive Modeling in Sustainable Projects
منشور في 2012احصل على النص الكامل
doctoralThesis -
112
Software defect prediction. (c2019)
منشور في 2019احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
113
Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
-
114
Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
-
115
-
116
VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems
منشور في 2019"…However, NNGE algorithm tends to produce rules that test a large number of input features. …"
-
117
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…The proposed algorithm has been tested on three tank system pilot plant and Ain El Kebira Cement rotary kiln process. …"
-
118
Sentiment analysis for Arabizi in social media. (c2015)
منشور في 2015"…We collected around 400,000 Lines of Arabizi data from Whatsapp, Facebook, and Twitter. We filtered them and tested a small sample across our classifier achieving 80% classification accuracy. …"
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
119
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
-
120