Search Results - (( developing relationship focus algorithm ) OR ( java implication based algorithm ))

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    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

    Published 2022
    “…This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.…”
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    Article
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    Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti by Abd Mokti, Nurnazifah

    Published 2024
    “…This research project focuses on developing a laptop price prediction model using the decision tree algorithm based on laptop specifications. …”
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    Thesis
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    A Community-Based Fault Isolation Approach for Effective Simultaneous Localization of Faults by Zakari, Abubakar, Lee, Sai Peck, Targio Hashem, Ibrahim Abaker

    Published 2019
    “…In an ideal case, faults are isolated into fault-focused clusters, each targeting a single fault for developers to localize them simultaneously in parallel. …”
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    Article
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    Using a priori algorithm for supporting e-commerce system by Ahmad Sharif, Mohammad Nazir, Bahari, Mahadi, Bakri, Aryati, Zakaria, Nor Hidayati

    Published 2005
    “…This paper demonstrates the development of e-commerce system by focusing on the use of a Priori algorithm as supported feature in our e-commerce system. …”
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    Conference or Workshop Item
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    Using a priori algorithm for supporting an e-commerce system by Ahmad Sharif, Mohammad Nazir, Ng, Moon Ching, Bakri, Aryati, Zakaria, Nor Hidayati

    Published 2005
    “…This paper demonstrates the development of e-commerce system by focusing on the use of a Priori algorithm as supported feature in our e-commerce system. …”
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    Article
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    Quantum Processing Framework And Hybrid Algorithms For Routing Problems by Soltan Aghaei, Mohammad Reza

    Published 2010
    “…The focus of this study is developing a framework of QAPU and hybrid architecture for classical-quantum algorithms. …”
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    Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman by Abdurahman, Nur Athirah

    Published 2023
    “…The methodology employed in this project involves the implementation of the Linear Regression algorithm, a statistical modeling technique that analyzes the relationship between advertising expenditure and sales. …”
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    Thesis
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    Using rule-based technique in developing the tool for finding suitable software methodology by Hanafiah, M., Kasirun, Z.M.

    Published 2007
    “…However, deciding which methodology to be applied requires some assessments on the project nature and characteristics at the early project cycle. This research focuses on finding the relationship between software project factors and methodologies, and further developing a tool that can help software practitioners in choosing the most suitable methodology. …”
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    Article
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    Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm by Tamjidy, Mehran, Baharudin, B. T. Hang Tuah, Paslar, Shahla, Matori, Khamirul Amin, Sulaiman, Shamsuddin, Fadaeifard, Firouz

    Published 2017
    “…A mathematical regression model is developed to determine the empirical relationship between the FSW process parameters and mechanical properties, and the results are validated. …”
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    An adjustable approach to multi-criteria group decision-making based on a preference relationship under fuzzy soft information by Khameneh, Azadeh Zahedi, Kilicman, Adem, Salleh, Abdul Razak

    Published 2017
    “…To overcome these issues, this paper proposes an adjustable multi-criteria group decision-making approach based on a preference relationship of fuzzy soft sets. First, we construct two topological spaces over the set of objects, and then, develop a preference relationship of objects by using open sets of these two topologies. …”
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    Analysis of sequence batch reactor for COD and TSS removal identification from septic sludge treatment plant using bio inspired algorithm: a case study in Sarawak by Sie Chun, Ting, Ismail , Amelia Ritahani, Abdul Malik, Marlinda

    Published 2012
    “…In this study, Artificial Immune System (AIS) technique named Clonal Selection Algorithm (CSA) is introduced in the development of a prediction model to forecast the performance of the SSTP. …”
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    Proceeding Paper
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    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

    Published 2021
    “…Further, it focuses on the development of various forms of local risk prediction models and simple heart risk scores using non-laboratory features and machine learning (ML) algorithms. …”
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    Thesis
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    Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg by Zakaria, Yuslina

    Published 2006
    “…Currently, there is no ontology which is developed specify in metabolic pathway domain. Therefore, the main objective of this research is to develop an ontology-based representation for metabolic pathway to represent and to describe the concepts in the metabolic pathway domain and the relationships among them. …”
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    User to user topic recommendation model for student social interaction by Ahmad Subhi, Zolkafly

    Published 2025
    “…Hence, it is important to have a recommender system that suggested to solve these issues by recommending mutual topics for supporting social interactions and focusing on user-user relationship. This study focuses on developing a User to User Topic Recommendation Model for Student Social Interaction (TReSIT). …”
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    Application of machine learning algorithms to predict removal efficiency in treating produced water via gas hydrate-based desalination by Nallakukkala, Sirisha, Tackie-Otoo, Bennet Nii, Aliyu, Ruwaida, Lal, Bhajan, Nallakukkala, Jagadish Ram Deepak, Devi, Gayathri

    Published 2025
    “…In this context. ML algorithms provide powerful data driven means to model complex relationship within experimental datasets to improve process optimisation This study systematically evaluated several supervised ML models, including Random Forest (RF) Support Vector Machines (SVM), Ridge Regression, Lasso Regression, Decision Tree, Extra Tree Regression, Gradient Boost, and XGBoost, to predict removal efficiency in GHBD system. …”
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    Article