Search Results - (( _ application ((bleu algorithm) OR (means algorithm)) ) OR ( its relation based algorithm ))*
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Evaluation of structured questions using modified BLEU algorithm
Published 2016“…This paper describes and exemplifies an application of a Structured Exam Questions Test Bank and Evaluation Using Modified Bilingual Evaluation Understudy (BLEU) Algorithm, a software system developed in pursuit of robust computerized marking of free-text answers to open-ended questions.It employs the Information System Development Research Methodology with modified BLEU Algorithm and Expert System for similar words.The system was developed to facilitate in managing and administrating structured questions for client/server architecture based on intranet. …”
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Hybrid BLEU Algorithm For Structured Exam Management System
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
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Stock price predictive analysis: An application of hybrid barnacles mating optimizer with artificial neural network
Published 2023“…In this study, the Barnacles Mating Optimizer (BMO) is employed as an optimization tool to automatically optimize these parameters. As a relatively new optimization algorithm, it has been shown to be effective in addressing various optimization problems. …”
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Development Of Automatic Liver Segmentation Method For Three- Dimensional Computed Tomography Dataset
Published 2018“…The evaluation on the performance is based on volumetric overlap error (VOE), relative volume difference (RVD) and dice similarity coefficient (DSC). …”
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Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
Published 2019“…The proposed algorithm considered features based on its level of importance where weight given based on number of features involved in the sample. …”
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Energy band gap modeling of doped bismuth ferrite multifunctional material using gravitational search algorithm optimized support vector regression
Published 2021“…The proposed hybrid gravitational search based support vector regression HGS-SVR model was evaluated by its mean squared error (MSE), correlation coefficient (CC), and root mean square error (RMSE). …”
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Rainfall-runoff model based on ANN with LM, BR and PSO as learning algorithms
Published 2019“…The performances of the learning algorithms are compared and evaluated based on a 12-hour prediction model. …”
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Stock price predictive analysis : An application of hybrid barnacles mating optimizer with artificial neural network
Published 2023“…In this study, the Barnacles Mating Optimizer (BMO) is employed as an optimization tool to automatically optimize these parameters. As a relatively new optimization algorithm, it has been shown to be effective in addressing various optimization problems. …”
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Rainfall-rinoff model based on ANN with LM, BR and PSO as learning algorithms
Published 2019“…The performances of the learning algorithms are compared and evaluated based on a 12-hour prediction model. …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…In other words, this research will discuss the application of genetic algorithm to optimize the feature construction process from the Coral Reefs data to generate input data for the data summarization method called Dynamic Aggregation of Relational Attributes (DARA). …”
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Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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Proceeding Paper -
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…Speech is a natural, convenient and rapid means of human communication. The abil ity to respond to spoken language is of special importance in computer application wherein the user cannot use his/her limbs in a proper way, and may be useful in office automation systems. …”
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Integrated reconstruction of 2D overlapping coronary artery from x-ray angiography with 3D virtual myocardial model using non-rigid iterative closest point algorithm
Published 2019“…On the other hand, a three-dimensional (3D) image of these arteries will give a more precise pictorial view and facilitate a better understanding of its associated diseases. This motivates the 3D reconstruction of real coronary arteries superimposed on a 3D virtual heart model using a non-rigid iterative closest point algorithm, which is the focus of this thesis. …”
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Relative position-based collision avoidance system for swarming UAVs using multi-sensor fusion
Published 2015“…A collision avoidance algorithm that decides evasive manoeuvres in two dimensional flight by the means of net error calculation was developed. …”
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Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
Published 2015“…The multiple linear regression (MLR) and support vector regression (SVR) models were used to examine the relationship between the SBP and the DBP ratio with ten features extracted from the oscillometric waveform envelope (OWE). An automatic algorithm based on relative changes in the cuff pressure and neighbouring oscillometric pulses was proposed to remove outlier points caused by movement artifacts. …”
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Battery energy storage system (BESS) modeling for microgrid
Published 2023“…Although MPC has many benefits over the PID, still it is not ideal due to its complex algorithm. This work proposed an algorithm of simulations for the MPC to operate to get the best output for microgrid and BESS and compare the performance of MPC with PID. …”
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An automated learner for extracting new ontology relations
Published 2013“…As this task 'automatic recognition of semantic relations between pairs of words in text' can be used in many NLP applications, its implementation are demanding and may include many potential methodologies. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. …”
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Conference or Workshop Item -
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End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
Published 2021“…Although the conventional algorithm, MMSE, outperforms the pro�posed algorithms when the number of pilots increased but it is not applicable in real transmission as it is required prior knowledge about the channel statistic which is not the case with DL-based estimators which rely only on the pilots. …”
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