بدائل البحث:
sampling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data detection » data injection (توسيع البحث)
sampling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data detection » data injection (توسيع البحث)
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1
Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
منشور في 2006"…A fast waveform sampling facility has been recently developed and integrated into the VAX-based data acquisition system at the Center for Applied Physical Sciences (CAPS). …"
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article -
2
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
منشور في 2022"…The proposed improved ABO method consists in reducing the number of samples in the training data set using the Euclidean distance and extracting the most significant features from the reduced data using ABO algorithm. …"
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3
Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem
منشور في 2024"…We present the effectiveness of the developed integrated approaches, Sampling Based Progressive Hedging Algorithm (SBPHA) and Discarding SBPHA (d-SBPHA), over the pure strategies (i.e. …"
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Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
منشور في 2023"…First, a feature selection tool using PSO Algorithm is developed. Then, in order to maximize the diversity between data samples and improve the effectiveness of using PSO algorithm for feature selection, the Euclidean distance metric is used in order to reduce the data and maximize the diversity between data samples. …"
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5
Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
منشور في 2017"…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.…"
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
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Unsupervised outlier detection in multidimensional data
منشور في 2022"…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. …"
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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. …"
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9
Bootstrap-based Aggregations and their Stability in Feature Selection
منشور في 2022احصل على النص الكامل
doctoralThesis -
10
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
منشور في 2022"…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
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11
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
12
An image processing and genetic algorithm-based approach for the detection of melanoma in patients
منشور في 2018"…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
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Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
منشور في 2011"…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …"
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15
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…In addition, the framework outperforms conventional detection algorithms in words of detection rate, the rate of the false positive, and calculation time, respectively.…"
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احصل على النص الكامل
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20
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. …"