Search Results - (( java application bee algorithm ) OR ( knowledge representation method algorithm ))

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

“…The results show that the proposed algorithm is comparable with the existing methods in terms of accuracy. …”
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Optimized feature construction methods for data summarizations of relational data by Sze, Florence Sia Fui

“…However, the existing feature construction method does not explore all possible potential representation of records. …”
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

“…Also, proposed are the new modifications to existing genetic operator called DPPC (Dynamic Pre-Populated Crossover) together with modification of a simple method of representation, called MLR (Multi-Layered Representation). …”
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Representing semantics of text by acquiring its canonical form by Taiye, Mohammed Ahmed, Kamaruddin, Siti Sakira, Ahmad, Farzana Kabir

“…This calls for a need to capture and represent senses in order to resolve vagueness and improve understanding of senses in documents for knowledge creation purposes. We introduce a simple and straightforward method to capture canonical form of sentences. …”
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Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg by Zakaria, Yuslina

“…Thus, in order to provide better access to relevant knowledge, the knowledge of metabolic pathway should be conceptualized and formalized using appropriate knowledge representation technique. …”
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Dissimilarity algorithm on conceptual graphs to mine text outliers by Kamaruddin, Siti Sakira, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Mat Nor, Fauzias

“…The graphical text representation method such as Conceptual Graphs (CGs) attempts to capture the structure and semantics of documents.As such, they are the preferred text representation approach for a wide range of problems namely in natural language processing, information retrieval and text mining.In a number of these applications, it is necessary to measure the dissimilarity (or similarity) between knowledge represented in the CGs.In this paper, we would like to present a dissimilarity algorithm to detect outliers from a collection of text represented with Conceptual Graph Interchange Format (CGIF).In order to avoid the NP-complete problem of graph matching algorithm, we introduce the use of a standard CG in the dissimilarity computation.We evaluate our method in the context of analyzing real world financial statements for identifying outlying performance indicators.For evaluation purposes, we compare the proposed dissimilarity function with a dice-coefficient similarity function used in a related previous work.Experimental results indicate that our method outperforms the existing method and correlates better to human judgements. …”
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A deep autoencoder-based representation for Arabic text categorization by El-Alami, Fatima-Zahra, El Mahdaouy, Abdelkader, El Alaoui, Said Ouatik, En-Nahnahi, Noureddine

“…Moreover, most existing methods ignore the explicit knowledge contained in semantic vocabularies such as Arabic WordNet. …”
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Deviation detection in text using conceptual graph interchange format and error tolerance dissimilarity function by Kamaruddin, Siti Sakira, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Mat Nor, Fauzias

“…We employ conceptual graphs interchange format (CGIF) – a knowledge representation formalism to capture the structure and semantics of sentences. …”
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Time-Frequency Analysis of FSK Digital Modulation Signals using the Smooth Lag-Windowed Wigner-Ville Distribution. by Sha'ameri, Ahmad Zuri

“…The algorithm generates the time-frequency representation directly based on the signal characteristics. …”
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Document classification based on kNN algorithm by term vector space reduction by Moldagulova A., Sulaiman R.B.

Dual-head marking performance optimisation via evolutionary solutions by Koh J., Tiong S.K., Aris I.B., Mahmoud S.

“…This paper presents a new approach to optimise the performance of a multi-head marking system in terms of its marking speed This processing method named as MMA (Molecular Marking Optimisation algorithm) will adopt the use of Genetic Algorithm. …”

Grid-based simultaneous localization and mapping using Rao-blackwellized particle filter with neural network for mini robots / Norhidayah Mohamad Yatim by Mohamad Yatim, Norhidayah

“…Existing methods had implemented either feature-based or occupancy grid map (OG) as map representation. …”
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A brief review on vessel extraction and tracking methods by Boroujeni, Farsad Zamani, Jahangard, Simindokht, O. K. Rahmat, Rahmita Wirza

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A review of knowledge graph embedding methods of TransE, TransH and TransR for missing links by Salwana, Mohamad, Noor Azida, Sahabudin, Nor Syahidatul Nadiah, Ismail, Ily Amalina, Ahmad Sabri

“…Knowledge representation and reasoning require knowledge graph embedding as it is crucial in the area. …”
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Classification of stock market index based on predictive fuzzy decision tree by Khokhar, Arashid Hafeez

“…The experimental results show that the predictive FDT algorithm and fuzzy reasoning method provides the reasonable performance for comprehensibility (no of rules), complexity (no of nodes) and predictive accuracy of WFPRs for stock market time series data.…”
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A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts by Nur Faiqah ‘Aqilah binti Fuaad

Durian species recognition system based on global shape representations and k-nearest neighbors by Nyon, Xin Yi, Mustaffa, Mas Rina, Abdullah, Lili Nurliyana, Nasharuddin, Nurul Amelina

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Rough sets for predicting the Kuala Lumpur Stock Exchange Composite Index returns by Kok, Yit-Pong, Shamsuddin, Siti Mariyam, Alwi, Razana, Sallehuddin, Roselina, Ahmad, Norbahiah

“…There are extensive literatures available describing attempts to use artificial intelligence techniques; in particular neural networks and genetic algorithm for analyzing stock market variations.However, drawbacks are found where neural networks have great complexity in interpreting the results; genetic algorithms create large data redundancies.A relatively new approach, the rough sets are suggested for its simple knowledge representation, ability to deal with uncertainties and lowering data redundancies.In this study, a few different discretization algorithms were used at data preprocessing. …”
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Fuzzy modelling for reboiler system by Yusof, Rubiyah, Ibrahim, Mohd. Faisal, Khalid, Marzuki

“…In this paper, we propose an automatic tuning methods of fuzzy sets for TS fuzzy models using genetic algorithms. …”
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Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri by Pedram , Tabatabaeemoshiri

“…The proposed methodology involves collecting wafer inspection data, extracting relevant features, and applying the GSSL algorithm to identify the hidden defects. The approach constructs a graph representation of the wafer, leveraging its physical layout and test configuration, and integrates domain-specific knowledge. …”
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