Search Results - (( java evaluation learning algorithm ) OR ( program visualisation _ algorithm ))
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Effectiveness of algorithm visualisation in studying complex algorithms: a case study using TRAKLA Ravie / Chandren Muniyandi, Ali Maroosi
Published 2015“…Algorithm visualisation (AV) can be utilised to improve students ’programming and programme comprehension skills. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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The efficacy of personal computer (PC) AI image enhancer software on low and high contrast PA chest radiograph: an experimental study
Published 2026“…Methods: An experimental investigation was undertaken using five PC AI image enhancer programs to visualise the thoracic anatomy. Experts examined the radiographs using visual grading analysis (VGA), which involves visualising 16 common chest anatomical features. …”
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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024“…In this paper, the stacking ensemble method is used to increase the accuracy of the machine learning model for LSM where the base (first-level) learners use five ML algorithms namely decision tree (DT), k-nearest neighbor (KNN), AdaBoost, extreme gradient boosting (XGB) and random forest (RF). …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor
Published 2024“…This application, integrated with a predictive model, offers real-time visualisation of primary cooling system characteristics through handheld devices. …”
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Reconstruction algorithm of calibration map for RPT technique in quadrilateral bubble column reactor using MCNPX code
Published 2018“…In this study, Monte Carlo approach was programmed to reconstruct the particle tracer position so-called calibration map. …”
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Extracting Object Oriented Software Architecture from C++ Source Code
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FBGA-based implementation of electronic abacus using altera DE2 board
Published 2017“…DE2 115 is chosen as the development module and VHDL as main programming language. The arithmetic algorithm developed for the electronic abacus is limited to the computational of whole numbers only. …”
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Modified dynamic programming model with limited order picking capacity / Noraimi Azlin Mohd Nordin
Published 2021“…Next, to determine either Dijsktra’s algorithm or Dynamic Programming Method will give the most accurate shortest path and minimum travel time for order pickers. …”
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