Search Results - (( java implication _ algorithm ) OR ( knowledge evaluation means algorithm ))
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…These algorithms mostly built upon the partitioning k-means clustering algorithm. …”
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Thesis -
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A Mobile Application For Stock Price Prediction
Published 2021“…The evaluation methods were Root Mean Square Error and Mean Absolute Error. …”
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Final Year Project / Dissertation / Thesis -
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Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
Published 2013“…The performance of the training algorithms was evaluated using standard performance evaluation measures—root mean square error, coefficient of efficiency, and the time and number of epochs required to reach a predefined accuracy. …”
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Citation Index Journal -
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Analysis of K-Mean and X-Mean Clustering Algorithms Using Ontology-Based Dataset Filtering
Published 2021“…Our methodology incorporated ontology to filter the datasets and exploited Rapidminer environment to evaluate the performance of clustering algorithms. …”
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Algorithmic approaches in model selection of the air passengers flows data
Published 2015“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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Simulation model algorithm for pre-hospital emergency care (PHEC) volunteers in Indonesia
Published 2018“…Algorithm models for PHEC simulation have some strengths in real setting and effective interactive learning to evaluate the capabilities of first responders in managing pre-hospital emergency, and improve problem-solving skills, as well as their performance in such aspects as skill, knowledge, and attitude.…”
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From Employees to Entrepreneurs: A Qualitative Exploration of Career Transitions in Ghana
Published 2025“…A total of 20 document knowledge was evaluated manually, and the results from document summary were understood. …”
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An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions
Published 2025“…A total of 20 document knowledge was evaluated manually, and the results from document summary were understood. …”
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Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
Published 2018“…Several experiments have been conducted to evaluate the performance of the proposed GA-BPNN based on the percentage of mean squared error (MSE) in learning several nonlinearity datasets. …”
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Thesis -
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Biological-based semi-supervised clustering algorithm to improve gene function prediction
Published 2011“…The framework consists of threestages: (i) preparation of Gene Ontology (GO) datasets, functional annotation databases, and testing datasets, (ii) a fuzzy c -means clustering to find the optimal clusters; and (iii) analysis of computational evaluation and biological validation from theresults obtained. …”
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Tag cloud algorithm with the inclusion of personality traits
Published 2014“…Therefore, the main objective of this study is to make tag cloud algorithm with the inclusion of personality traits by adjusting two prominent visual features (color and shape) as an integration of layout.In addition, the utilization of RBS (rule bas e system) approach as artificial intelligent method is also taken into account to make knowledge base that stores the relationship between the proper personality elements and particular layout.This paper also discusses findings from satisfaction evaluation of prototyping, which comprises three dimensions facet: overall layout, color, and shape .The findings showed that the majority mean value for each dimension is categorized in agree scale (6-point), which indicates that respondents are satisfied with the tag cloud layout display generated by proposed algorithm.The findings suggest interface designers to be careful in selecting the appropriate tag clouds layout to be displayed for users with varying personality differences.…”
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Malay continuous speech recognition using continuous density hidden Markov model
Published 2007“…With their efficient training algorithm (Baum-Welch and Viterbi/Segmental K-mean) and recognition algorithm (Viterbi), as well as it’s modeling flexibility in model topology, observation probability distribution, representation of speech unit and other knowledge sources, HMM has been successfully applied in solving various tasks in this thesis. …”
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A cognitive mapping approach in real-time haptic rendering interaction for improved spatial learning ability among autistic people / Kesavan Krishnan
Published 2024“…Meanwhile, experimental evaluation of the application was conducted in four different groups to measure the efficiency and performance of the application; experimental evaluation based on navigation algorithms, experimental evaluation based on haptic sensory sensitivity, experimental evaluation based on real-time haptic rendering interaction and experimental evaluation based on the performance of autistic people with using the application in spatial learning and cognitive mapping. …”
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Thesis -
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A coherent knowledge-driven deep learning model for idiomatic - aware sentiment analysis of unstructured text using Bert transformer
Published 2023“…However, this task is not always trivial especially if the written text is ambiguous or includes figurative language that deviates the meaning of the words beyond their literal meaning rather to convey a complicated meaning. …”
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Final Year Project / Dissertation / Thesis -
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The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning
Published 2025“…The preliminary results using the K means Clustering Algorithm showed that the conceptual framework successfully grouped similar data points, facilitating the identification of skyline points. …”
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