Search Results - (( (structures OR structure) vector based algorithm ) OR ( java application learning algorithm ))
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Enhanced ontology-based text classification algorithm for structurally organized documents
Published 2015“…This research combines the ontology and text representation for classification by developing five algorithms. The first and second algorithms namely Concept Feature Vector (CFV) and Structure Feature Vector (SFV), create feature vector to represent the document. …”
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Structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector
Published 2024“…The quantification of investment sentiment indicators and the persistent analysis of their impact has been a complex and significant area of research. In this paper, a structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector is proposed. …”
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Modified damage location indices in beam-like structure: Analytical study
Published 2011“…Proposed modifications to two existing algorithms, based on mode shape, for locating of damage in a beam like structure model are presented in this paper. …”
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Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…After evaluating the results of these algorithms, a hybrid Artificial Neural Network-based Imperial Competitive Algorithm (ANN-ICA) was presented in the deployment step of the proposed methodology to identify the structural damage of illustrative structures. …”
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…Based on the acquired results, the experiments reveal that the modified word vectors algorithm can effectively alter original LLM-generated word vectors to reflect intended contexts and can outperform baseline scores in contextual text classification tasks. …”
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Extreme learning machine classification of file clusters for evaluating content-based feature vectors
Published 2018“…Consequently, an Extreme Learning Machine (ELM) neural network algorithm is used to evaluate the performance of the three methods in which it classifies the class label of the feature vectors to JPEG and Non-JPEG images for files in different file formats. …”
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Development of compound clustering techniques using hybrid soft-computing algorithms
Published 2006“…Selecting only representative compounds from each cluster is based on the assumption that structurally similar molecules have similar properties. …”
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Monograph -
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Design and implementation of a new multilevel inverter topology with shared power switches / Jafferi bin Jamaludin
Published 2014“…By adding one bidirectional switch in Module 3 of mlevel structure, the (m + 1)-level structure is formed. A new modulation scheme based on space vector concept with virtual vectors utilization has been developed for this topology. …”
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Final Year Project -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Final Year Project -
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Weighting method for modal parameter based damage detection algorithms
Published 2011“…This study proposes weighting method for damage detection algorithms based on the bending mode shapes for beam structures. …”
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Integration of GWO-LSSVM for time series predictive analysis
Published 2016“…The emergence of Statistical Learning Theory (SLT) based algorithm namely Least Squares Support Vector Machines (LSSVM) has evidenced its efficacy in solving regression and classification problems. …”
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Conference or Workshop Item -
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A proposed algorithm of random vector in measuring similarity for network topology of Bursa Malaysia
Published 2018“…The similarities between two or more multi-dimensional of stocks are quantified by using Random Vector (RV) coefficient. Based on the preliminary analysis, the computational of RV coefficient is difficult, time-consuming, and tedious when a large number of stocks are involved. …”
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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
Published 2023“…Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. …”
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Final Year Project Report / IMRAD -
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Energy band gap modeling of doped bismuth ferrite multifunctional material using gravitational search algorithm optimized support vector regression
Published 2021“…The proposed hybrid gravitational search based support vector regression HGS-SVR model was evaluated by its mean squared error (MSE), correlation coefficient (CC), and root mean square error (RMSE). …”
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Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory
Published 2003“…Moreover, at the level of sequence-to-structure prediction, its performance was comparable to the PHD (Profile network from Heidelberg) method, which is one of the best secondary structure prediction schemes.…”
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Vector least-squares solutions for coupled singular matrix equations
Published 2007“…In this paper, a family of algorithms are applied to solve these problems based on the Kronecker structures. …”
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