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1
Household overspending model amongst B40, M40 and T20 using classification algorithm
Published 2020“…The results show that the decision tree through J48 algorithm has produced the easiest rule to be interpreted. …”
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Examination timetabling for undergraduate programme using graph coloring approach / Norarida Abd Rhani ... [et al.]
Published 2021“…Any clashes of timetabling that arise can be detected and remedied immediately. An algorithm based on Graph coloring technique is one of the feasible solutions that can address these issues of managing timetables. …”
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An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability
Published 2023“…Additionally, we find that some algorithms are more sensitive to data leakage than others, as seen by the drop in model accuracy when built without leakage. …”
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Dynamic force-directed graph with weighted nodes for scholar network visualization
Published 2022“…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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5
An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…A one-pass smoothing algorithm was used to generate a practical smooth trajectory path in near real time. …”
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Extrema Points Application In Determining Iris Region Of Interest
Published 2019“…Hence, to address this issue, this paper proposed a method of iris localisation in the case of ideal and non-ideal iris images. In this study, the algorithm was based on finding the classification for the region of interest (ROI) with the help of a Support Vector Machine (SVM) by applying a histogram of grey level values as a descriptor in each region from the region growing technique. …”
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7
Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…The Random Tree standalone ML-AP relay model presented the best performing models from the ML-APS relay model with the best average performance for the correctly classified fault types of 97.61 % at 5 % significance level above other ML algorithms. …”
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8
Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu
Published 2014“…Multilayer Perceptron algorithm has been the best algorithm with the highest success percentage in both of the programs; Decision Trees has been the algorithm which has the lowest success percentage again in both of the programs. …”
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Random Amplified Polymorphic DNA Analysis of Four Breeds of Sheep in Malaysia
Published 1999“…Genetic distance between populations ranged from 0.1040 to 0.1357 based on the Dice's algorithm while the distance based on the Jaccard's algorithm ranged from 0.1875 to 0.2381. …”
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10
Mobile Learning: An Application Prototype for AVL Tree Learning Object
Published 2010“…Initial testing has shown that a well-presented video clip of AVL tree concept that delivered through mobile phone has a great potential to promote and enhance learning process.…”
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Mobile Learning: An Application Prototype for AVL Tree Learning Object
Published 2010“…Initial testing has shown that a well-presented video clip of AVL tree concept that delivered through mobile phone has a great potential to promote and enhance learning process.…”
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Machine Learning Applications in Multiplayer Online Battle Arena Esports—A Systematic Review
Published 2025“…There are 35 studies included in this systematic review, with most studies on Defence of the Ancients 2 (DotA 2) and League of Legends (LoL). ML algorithms are used to make predictions for different purposes using game mechanics and player profiles as datasets, with random forests, decision trees, logistic regression, neural networks, and more. …”
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13
Map navigation for mobile tourist / Rohana Abd Jalil
Published 2007“…This system is used an rule base algorithm to get an output. The result of this system is come out with the prototype system that adapts the rule base algorithm. …”
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14
One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network
Published 2012“…Based on result obtained, it shows that IWO learning algorithm is capable to produce accurate prediction load demand. …”
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Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms
Published 2021“…Initially, the Ridge algorithm-based modeling is performed in detail, and then SVR-based LR, named as SVR (LR), SVR-based radial basis function—SVR (RBF), and SVR-based polynomial regression—SVR (Poly.) algorithms, are applied. …”
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The analysis of road traffic fatality pattern for Selangor, Malaysia case study
Published 2021“…Neural network was seen as the best algorithm to classify road traffic fatality occurrence with 97.0% classification accuracy outperform other algorithms. …”
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Performance analysis of ant colony's algorithm: load-balancing in QoS-based wireless mesh networks routing
Published 2008“…The design of the algorithm is based on: the specific self-organizing behavior of ant colonies, the shortest path discovery, and the related framework of ant colony optimization (ACO). …”
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Nearest neighbour group-based classification
Published 2010“…In this paper, we extend three variants of the nearest neighbour algorithm to develop a number of non-parametric group-based classification techniques. …”
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Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…For floor localisation, the strategy is based on developing the algorithm to determine the floor by utilising fingerprint clustering technique. …”
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20
An elitist-flower pollination-based strategy for constructing sequence and sequence-less t-way test suite
Published 2018“…In line with the upcoming of a new field called search-based software engineering (SBSE), many newly developed t-way strategies adopting meta-heuristic algorithms can be seen in the literature for constructing interaction test suite (such as simulated annealing (SA), genetic algorithm (GA), ant colony optimisation algorithm (ACO), particle swarm optimisation (PSO), harmony search (HS) and cuckoo search (CS). …”
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