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1
An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder
Published 2024“…The experimental results show that the overall accuracy of BSETG algorithm is maintained between 70% and 90%, the response speed of BSETG algorithm is relatively fast, and the success rate of BSETG algorithm is relatively stable to a large extent.…”
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2
Modified Opposition Based Learning to Improve Harmony Search Variants Exploration
Published 2020“…Opposition-based learning variants enhanced the explorations and help optimization algorithms to avoid local optima falling. …”
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Conference or Workshop Item -
3
Parallelization of speech compression based algorithm based on human auditory system on multicore system
Published 2012“…Finally, the performance of the developed parallel algorithm was evaluated using Perceptual Evaluation of Speech Quality (PESQ) and parallel execution time. …”
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4
Validation on an enhanced dendrite cell algorithm using statistical analysis
Published 2017“…Evaluating a novel or enhanced algorithm is compulsory in data mining studies in order to measure it has superior performance than its previous version. …”
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5
Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training
Published 2020“…The design of the WNNs must be judiciously addressed, particularly, the adopted training algorithm, since it greatly influences the generalization performance and the convergence rate of WNNs. …”
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6
Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Broadening selection competitive constraint handling algorithm for faster convergence
Published 2020“…The proposed algorithm has been evaluated using 24 benchmark functions. …”
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Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis
Published 2019“…The empirical results generated by the proposed intelligent technique evaluated by applying to the breast cancer dataset and emphasize the capability of the proposed algorithm to improve the results. …”
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10
A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…The motion planning problem poses the question of how a robot can move from an initial to a final position. Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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Thesis -
11
Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network
Published 2020“…Better performances were also achieved for success rate, throughput, and latency when compared to other hybrid routing algorithms such as Fish Swarm Ant Colony Optimization (FSACO), Cuckoo Search-based Clustering Algorithm (ICSCA), and BeeSensor-C. …”
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Thesis -
12
Extreme learning machine classification of file clusters for evaluating content-based feature vectors
Published 2018“…The methods are Byte Frequency Distribution, Entropy, and Rate of Change. Consequently, an Extreme Learning Machine (ELM) neural network algorithm is used to evaluate the performance of the three methods in which it classifies the class label of the feature vectors to JPEG and Non-JPEG images for files in different file formats. …”
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13
Real-time time series error-based data reduction for internet-of-things applications
Published 2018“…This work differs from existing PIP in the sense that, we have devised a real-time data reduction algorithm namely error-based PIP Data Reduction (PIPE), that operates with a single value configuration; error rate, which can be used with various sensor data without any priori analysis required. …”
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Final Year Project / Dissertation / Thesis -
14
A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network
Published 2024“…Results: Simulation results perfectly showed that the suggested localization algorithm based on NMM can carry out a better performance than that of other localization algorithms utilizing other op- timization approaches, including a particle swarm optimization, ant colony (ACO) and bat algorithm (BA). …”
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15
Extremal region selection for MSER detection in food recognition
Published 2021“…The performance of ERS algorithm is evaluated based on the classification performance metrics by using classification rate (CR), error rate (ERT), precision (Prec.) and recall (rec.) as well as the number of extremal regions produced by ERS. …”
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16
An efficient real-time terrain data organization and visualization algorithm based on enhanced triangle-based level of detail technique
Published 2006“…The purpose of this research is to design, develop and implement an algorithm for enhancing the rendering efficiency of triangle-based LOD technique. …”
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Thesis -
17
An efficient innovative method to decrease routing table size in packet switched networks
Published 2013“…Appropriate routing for supporting the requirements of various high quality applications emerged in current communication networks is a challenging problem that can lead to improved routing algorithms. Taking into consideration the highly distributed character of networks, numerous multi-agent based algorithms, and particularly ant colony based algorithms, have been proposed in recent years. …”
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18
Speech enhancement based on compressive sensing algorithm
Published 2013“…The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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Proceeding Paper -
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Speech enhancement based on compressive sensing algorithm
Published 2013“…The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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Automated update of crowdsourced data in participatory sensing: An application for crowdsourced price information
Published 2023“…In this paper, the construction of an algorithm that automatically updates crowdsourced data based on the rate of incoming data is presented. …”
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