بدائل البحث:
process algorithm » processing algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data detection » data injection (توسيع البحث)
process algorithm » processing algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data detection » data injection (توسيع البحث)
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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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2
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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3
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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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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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
منشور في 2022"…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. …"
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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. …"
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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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11
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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12
A kernelization algorithm for d-Hitting Set
منشور في 2010"…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …"
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A Review for the Genetic Algorithm and the Red Deer Algorithm Applications
منشور في 2021الموضوعات: احصل على النص الكامل
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14
Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
منشور في 2021"…<p dir="ltr">In the current ongoing crisis, people mostly rely on mobile phones for all the activities, but query analysis and mobile data security are major issues. Several research works have been made on efficient detection of antipatterns for minimizing the complexity of query analysis. …"
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15
Intelligent Rapidly-Exploring Random Tree Star Algorithm
منشور في 2024احصل على النص الكامل
doctoralThesis -
16
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020"…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …"
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17
A Review of the Genetic Algorithm and JAYA Algorithm Applications
منشور في 2022الموضوعات: احصل على النص الكامل
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18
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016"…A Master of Science thesis in Engineering Systems Management by Alia Al Sadawi entitled, "Efficient Dynamic Cost Scheduling Algorithm for Data Batch Process," submitted in May 2016. …"
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doctoralThesis -
19
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…<p dir="ltr">Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. …"
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Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
منشور في 2022"…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
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