Search Results - (( model evaluation case algorithm ) OR ( _ identification task algorithm ))*
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Object detection in aerial images using Convolutional Neural Network (CNN) / Wan Nur Alya Athirah Wan Roshdee
Published 2024“…Despite the potential of CNN in certain cases, the study's use of a Sequential CNN model resulted in reduced accuracy, possibly due to task complexity or overfitting issues.…”
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Development of reliability-centered maintenance model using linguistic failure mode and effect analysis
Published 2019“…After the proposed maintenance plan execution, the proposed RCM model have shown sufficient effectiveness in reliability and unavailability with real cost reduction, saved by 38.7% for the case study of electrical generator based on the application of the proposed RCM model. …”
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A Comparative of Two-Dimensional Statistical Moment Invariants Features in Formulating an Automated Probabilistic Machine Learning Identification Algorithm for Forensic Application
Published 2023“…Theseempiricalresults also conveyed that the superior proposed identification algorithm in this research could be developed as a mobile application for ballistics identification that can significantly reduce the time taken and conveniently perform the ballistics identification tasks.…”
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Zero distortion-based steganography for handwritten signature
Published 2018“…Thus, developing a steganographic algorithm to use cover media (c) without raising attention is the most challenging task in data hiding. …”
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…The algorithm simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. …”
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A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens
Published 2017“…There are several inherent difficulties in the existing firearm identification algorithms, include requiring the physical interpretation and time consuming. …”
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Author Identification : Performance Comparison using English and Under-Resourced Languages
Published 2020“…This paper presents Author Identification (AI) task using different language which are English and Under-Resourced Languages (U-RL) (i.e. …”
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Feature extraction from natural language to aid requirements reuse in software product lines engineering / Noor Hasrina Bakar
Published 2016“…FENL consists of four main phases: Accessing Requirements, Terms Extraction, Feature Identification and Formation of Feature Model. The proposed model is demonstrated through lab experiment and online software reviews are used as the input. …”
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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2015“…We incorporated the ordering constrain with Graph-Cut on stereo images to detect occlusion on stereo matching algorithm. This will increase the accuracy of the disparity map which is required task for identification of power poles near vegetation based on satellite stereo images. …”
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Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics
Published 2018“…Chemical Vapor Deposition (CVD) is the most efficient method for CNTs production.However,using CVD method encounters crucial issues such as customization,time and cost.Therefore,Response Surface Methodology (RSM) is proposed for modeling and the ABC-βHC is proposed for optimization purpose to address such issues.The selected CNTs characteristics are CNTs yield and quality represented by the ratio of the relative intensity of the D and G-bands (ID/IG).Six case studies are generated from collected dataset including four cases of CNTs yield and one case of ID/IG as single objective optimization problems,while the sixth case represents multi-objective problem.The input parameters of each case are a subset from the set of input parameters including reaction temperature,duration,carbon dioxide flow rate,methane partial pressure,catalyst loading,polymer weight and catalyst weight.The models for the first three case studies were mentioned in the original work.RSM is proposed to develop polynomial models for the output responses in the other three cases and to identi significant process parameters and interactions that could affect the CNTs output responses.The developed models are validated using t-test,correlation and pattern matching.The predictive results have a good agreement with the actual experimental data.The models are used as objective functions in optimization techniques.For multi-objective optimization,this study proposes Desirability Function Approach (DFA) to be integrated with other proposed algorithms to form hybrid techniques namely RSM-DFA,ABC-DFA and ABC-βHC-DFA.The proposed algorithms and other selected well-known algorithms are evaluated and compared on their CNTs yield and quality.The optimization results reveal that ABC-βHC and ABC-βHC-DFA obtained significant results in terms of success rate,required time,iterations,and function evaluations number compared to other well-known algorithms.Significantly,the optimization results from this study are better than the results from the original work of the collected dataset.…”
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Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm
Published 2020“…Recently, several studies showed that the brain electrical activity or electroencephalogram (EEG) signals provide unique features that can be considered as user identification techniques. But, it is a challenging task where there are three important things must be addressed carefully in any EEG-based person identification. …”
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Author identification for under-resourced language Kadazandusun
Published 2020“…This paper presents the task of Author Identification for KadazanDusun language by using tweets as the source of data to perform Author Identification task of short text on KadazanDusun, which is considered as one the under-resourced language in Malaysia. …”
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Complex word identification model for lexical simplification in the Malay language for non-native speakers
Published 2023“…Lexical Simplification (LS), a method in TS, is the task of converting words into simpler words. Past studies have shown weaknesses in the LS first task, called Complex Word Identification (CWI), where simple and complex words have been misidentified in previous CWI model. …”
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Identification of non-linear dynamic systems using fuzzy system with constrained membership functions
Published 2004“…In this study, the identification performance of the SFS trained by the back-propagation (BP) algorithm forms the basis of comparison when evaluations were made on the performance of the newly proposed CFS models. …”
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Unifying the evaluation criteria of many objectives optimization using fuzzy Delphi method
Published 2021“…Lastly, the most suitable criteria outcomes are formulated in the unifying model and evaluate by experts to verify the appropriateness and suitability of the model in assessing the MaOO algorithms fairly and effectively.…”
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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2015“…We incorporated the ordering constrain with Graph-Cut on stereo images to detect occlusion on stereo matching algorithm. This will increase the accuracy of the disparity map which is required task for identification of power poles near vegetation based on satellite stereo images. …”
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Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
Published 2024“…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. …”
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