Search Results - (( knowledge representation models algorithm ) OR ( java application customization algorithm ))

Ball surface representations using partial differential equations by Kherd, Ahmad Saleh Abdullah

“…The findings of this study contribute towards the body of knowledge for surface reconstruction based on PDEs approach in the area of geometric modelling and computer graphics.…”
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The design and implementation of Malaysian indigenous herbs knowledge management system based on ontology model by Sahri, Zulazeze, Abd Aziz, Muhd Eizan Shafiq, Ramli, Nazirah, Canda, Roger

“…This paper introduces the design and implementation of an Ontology-Based Malaysian Herbal Knowledge Based System (MiHerbs).The ontology model used in this research is based on a previous research with title, ’Malaysia Indigenous Herbs Knowledge Representation’.The research proposed an Ontology based knowledge representation model of Malaysian indigenous herbs using Web Ontology Language (OWL).The model can be used to encode and store knowledge in a “Knowledge Base” such as database, repository or library. …”
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Cognitive knowledge-based model for adaptive feedback: A case in physics / Andrew Thomas Bimba by Andrew Thomas, Bimba

“…This form of representation is achieved through the knowledge elicitation, knowledge bonding, and adaptive feedback algorithms. …”
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Optimized feature construction methods for data summarizations of relational data by Sze, Florence Sia Fui

“…The descriptive accuracy of the DARA summarized data is highly influenced by the representation of non-target records in the vector space model. …”
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Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…Three agents namely SemanticAgentGUI, semanticAgent and noviceAgent are designed in the proposed model. The running system shows an OOP semantic knowledge representation by intelligent agents.…”
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Combining data mining algorithm and object-based image analysis for detailed urban mapping of hyperspectral images by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Ahmad, Noordin

“…The high accuracy of object-based classification can be linked to the knowledge discovery produced by the DM algorithm. This algorithm increased the productivity of OBIA, expedited the process of attribute selection, and resulted in an easy-to-use representation of a knowledge model from a decision tree structure.…”
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Document classification based on kNN algorithm by term vector space reduction by Moldagulova A., Sulaiman R.B.

A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization by Kassim, Azleena Mohd

“…The thesis main objective is to develop a new framework for social- and knowledge-based coalition formation (SKCF). The related sub-objectives are: 1) to define coalition and social factors to form a coalition formation model, 2) to develop a knowledge representation scheme to store knowledge of formed coalitions, and 3) to develop an effective algorithm to optimize the coalition which can also be treated as a clustering problem. …”
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Fuzzy modelling for reboiler system by Yusof, Rubiyah, Ibrahim, Mohd. Faisal, Khalid, Marzuki

“…Fuzzy system's ability of providing both heuristic knowledge with quantitative and accurate representation has been exploited for identification of nonlinear and complex system. …”
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On equivalence of FIS and ELM for interpretable rule-based knowledge representation by Wong S.Y., Yap K.S., Yap H.J., Tan S.C., Chang S.W.

“…Classification (of information); Computer aided diagnosis; Fault detection; Fuzzy systems; Knowledge acquisition; Knowledge representation; Learning systems; Matrix algebra; Membership functions; Pattern recognition; Extreme learning machine; Fault detection and diagnosis; Fuzzy if-then rules; Fuzzy inference systems; Fuzzy membership function; Initialization technique; Interpretable rules; Rule based; Fuzzy inference; algorithm; artificial intelligence; artificial neural network; benchmarking; classification; electric power plant; factual database; feedback system; fuzzy logic; machine learning; nerve cell; reproducibility; statistical model; Algorithms; Artificial Intelligence; Benchmarking; Classification; Databases, Factual; Feedback; Fuzzy Logic; Machine Learning; Models, Statistical; Neural Networks (Computer); Neurons; Power Plants; Reproducibility of Results…”

Classification of Cardiac Disorders Based on Electrocardiogram Data with Fuzzy Cognitive Map (FCM) Algorithm Approach by Sumiati, ., Hoga, Saragih, T.K.A, Rahman, Viktor Vekky, Ronald Repi, Agung, Triayudi

“…FCM itself is a form of knowledge representation, design elements, and algorithm de�scriptions that are included in the FCM Expert software. …”
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Handling Words Duplication and Memory Management for Digital Quran Based on Hexadecimal Representation and Sparse Matrix by Ashraf Al-Omoush, Norita Md Norwawi, Ahmad Akmalludin Mazlan

Implementation of case-based reasoning in help desk system by Tee, Shih Min

“…This is because CBR assists in reducing the effort and time required for knowledge acquisition and representation significantly.…”
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A flexible query transformation framework for structured retrieval / Gan Keng Hoon by Gan, Keng Hoon

“…Supporting this intermediate query representation are the query interpretation and query construction algorithms. …”
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Malay continuous speech recognition using continuous density hidden Markov model by Ting, Chee Ming

“…HMM is a robust and powerful technique capable of modeling of speech signals. 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 simulation tool to evaluate the usability of agent centric Resource-Event-Agent (REA) database modeling methodology: The development of revenue cycle in accounting information sy... by Ming L.L.

“…The author has implemented quantitative analysis by generating mathematical algorithms to compare efficiency between conventional and Agent Centric REA Modeling. …”

Proposal for ontology based approach to fuzzy student model design by Muhammad Sani, Salisu, Mohd Aris, Teh Noranis

“…The use of fuzzy logic in this context is to enable the computational analysis of the student's characteristics and learning behaviours in order to handle the uncertainty issues related to the student model design. Ontology is a vital tool for managing knowledge in a particular domain and is one of the recent techniques used to design the representation of student's cognitive state.…”
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Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam by Rustam, Ilham

“…Further, after a careful investigation into the OLS algorithm, it was shown that the ERR technique which is an essential part of the algorithm to reach model parsimony, has led the resultant model to select an incorrect model terms albeit some improvement in model selection criteria and validation method adopted in this study. …”
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Modeling of flood water level prediction using NNARX / Fazlina Ahmat Ruslan by Ahmat Ruslan, Fazlina

“…Further, after a careful investigation into the OLS algorithm, it was shown that the ERR technique which is an essential part of the algorithm to reach model parsimony, has led the resultant model to select an incorrect model terms albeit some improvement in model selection criteria and validation method adopted in this study. …”
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Classification of stock market index based on predictive fuzzy decision tree by Khokhar, Arashid Hafeez

“…In this research, another modification of Fuzzy Decision Tree (FDT) classification techniques called predictive FDT is presented that aims to combine symbolic decision trees in data classification with approximate reasoning offered by fuzzy representation. The intent is to exploit complementary advantages of both: ability to learn from examples, high knowledge comprehensibility of decision trees, and the ability to deal with uncertain information of fuzzy representation. …”
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