Search Results - (( new evaluation ((tool algorithm) OR (cell algorithm)) ) OR ( data classification _ algorithm ))
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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Validation on an enhanced dendrite cell algorithm using statistical analysis
Published 2017“…From the evaluation, the new version of dendrite cell algorithm was statistically proven to have improvement with a significant difference compared to its previous versions in all performance metrics.…”
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Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
Published 2017“…Therefore, in order to provide the excellent eyesight’s problem care, it needs an intelligent diagnostic of the eyesight to detect the classification of eyesight diseases. This study aims to implement the classification algorithm using the Improved Clonal Selection Algorithm (ICLONALG) to classify the eyesight’s problems. …”
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Thesis -
4
A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…It is designed to incorporate with the CAPSOCA algorithm which intended to strengthen the classification outcomes. …”
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Thesis -
5
Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…On the other hand, the DPSO framework favored the balanced state by producing very competitive results compared to the OGC and DPSO in both evaluation metrics. As a conclusion, balancing the search behavior notably enhanced the overall performance of the three proposed frameworks and made each of them an excellent tool for data clustering.…”
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6
Monitoring the impacts of drought on land use/cover: a developed object-based algorithm for NOAA AVHRR time series data
Published 2011“…As a novel idea in this study, it developed a new object-based classification algorithm for AVHRR (Advanced Very High Resolution Radiometer) data. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Decision tree-based approach for online management of PEM fuel cells for residential application
Published 2004“…In this research, a Decision Tree (DT) algorithm is employed to obtain the optimal, or quasioptimal, settings of the fuel cell online and in a general framework. …”
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Computer-aided acute leukemia blast cells segmentation in peripheral blood images
Published 2015“…The method also introduces an approach to split overlapping cells using the marker-controlled watershed algorithm based on a new marker selection scheme. …”
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Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm
Published 2025“…In this paper, a new method is designed to effectively determine the parameters of proton exchange membrane fuel cells (PEMFCs), i.e., ?…”
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Decision tree-based approach for online management of pem fuel cells for residential application
Published 2004“…In this research, a Decision Tree (DT) algorithm was employed to obtain the optimal, or quasi-optimal, settings of the fuel cell online and in a general framework. …”
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12
Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine
Published 2019“…File carving tools are essential element of digital forensic investigation for recovering evidence data from computer disk drives. …”
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Mining and integration of oral cancer genomics for predictive therapeutics / Bernard Lee Kok Bang
Published 2019“…To this end, two bioinformatics tools were developed. The first tool – GENIPAC (Genomic Information Portal on Cancer Cell Lines), is a web resource for exploring, visualising, and analysing genomics information from 44 head and neck cancer cell lines. …”
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Multiple and solid data background scheme for testing static single cell faults on SRAM memories
Published 2013“…In Method 1, a multiple DBs generator with a bit-adjacent DB management scheme is applied for the selected MTA. This method is evaluated in terms of function and performance differences between the proposed MTA and existing MTA using the User Defined Algorithm (UDA) available in the MBISTArchitect tool. …”
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An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa
Published 2018“…Two new algorithms i.e., Load Classification based Fuzzy Logic (LCFL) and Binary Evolutionary Programming (BEP) are introduced in the module. …”
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Electrocardiogram based heart disease diagnosis using artificial intelligence
Published 2015“…Normal and abnormal cardiac function of the human heart can be analyzed through the application of the ECG signal processing and evaluation. Although traditionally the interpretation of these signals remains largely a manual effort, as computing power has increased, so too has the application of computational methods for ECG evaluation and classification. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…Methods for improving supervised and unsupervised classification of remotely sensed data were developed in this study. …”
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Case Slicing Technique for Feature Selection
Published 2004“…Since the 1960s, many algorithms for data classification have been proposed. …”
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HOOPOE: High performance and efficient anonymous handover authentication protocol for flying out of zone UAVs
Published 2023“…For example, a UAV initially served by cell A may be handed over to cell B after a certain point. …”
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Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…Nevertheless, there are some limitations in ID3 algorithm that can affect the performance in the classification of data. …”
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