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Estimation-based Metaheuristics: A New Branch of Computational Intelligence
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Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm
Published 2019“…This extension of Autometrics for model selection was also developed for multiple equations by integrating it with seemingly unrelated regressions equations (SURE) and estimated using feasible generalized least squares (FGLS), known as SURE-Autometrics algorithm. …”
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Thesis -
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Investment, trade and exchange rates / Noor Zahirah Mohd Sidek and Mahadzir Ismail
Published 2012“…Finally, the robustness of the model (s) and the estimation of the threshold value (s) are conducted using heuristic approaches of genetic algorithm, neuro network and support vector machine. …”
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Research Reports -
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Performance evaluation of vertical handoff in fourth generation (4G) networks model
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Working Paper -
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Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration
Published 2022“…This for can all model to estimate the be regarded as the major contribution as it could po ssibly elim inate the process of local data collection for the development or calibration of a local ET proposal and implementation of water 0 estimating model. …”
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Harmony Search algorithm-based gasoline consumption modeling for Indonesia
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Comparisons of Signal Subspace Methods for Estimating Visual Evoked Potentials
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Estimating the optimal threshold value for foreign investment in Malaysia / Noorzahirah Mohd Sidek and Mahadzir Ismail
Published 2012“…Finally, the robustness of the model (s) and the estimation of the threshold value (s) are conducted using heuristic approaches of genetic algorithm, neuro network and support vector machine. …”
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Research Reports -
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Forecasting The Financial Soundness Of Indonesia’s National Board Of Zakat (baznas) Using Artificial Neural Network Models
Published 2024journal::journal article -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Development of an explainable machine learning model for predicting depression in adults with type 2 diabetes mellitus: a cross-sectional SHAP-based analysis of NHANES 2009-2023
Published 2026“…A streamlined version incorporating the top 10 predictors was further developed and implemented as a user-friendly web-based risk estimation tool. …”
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Article -
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Secure block cipher inspired by the human immune system
Published 2012“…As for Malaysia, it is an advantage if we can develop our own symmetric block cipher for our national security interest. …”
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An analysis of state covariance of mobile robot navigation in unstructured environment based on ROS
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Short-term Gini coefficient estimation using nonlinear autoregressive multilayer perceptron model
Published 2024“…Poverty, an intricate global challenge influenced by economic, political, and social elements, is characterized by a deficiency in crucial resources, necessitating collective efforts towards its mitigation as embodied in the United Nations' Sustainable Development Goals. The Gini coefficient is a statistical instrument used by nations to measure income inequality, economic status, and social disparity, as escalated income inequality often parallels high poverty rates. …”
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Application of remote sensing techniques for prediction of landslide hazard areas in Malaysia
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Forecasting Tourism Market for Fiji based on Indicator Approach
Published 2019“…Moreover, the transition probabilities that resulted from the Markov regime-switching model indicated that the duration of the transition from one regime to another was on average 12.86 months. These empirical estimation analysis results highlighted the potential ability of the leading indicator to predict the outlook of the tourism market, additionally, the information gained from the macroeconomic perspective should be useful for policy planning, risk monitoring, and community development.…”
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Thesis -
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Extreme gradient boosting (XGBoost) regressor and shapley additive explanation for crop yield prediction in agriculture
Published 2022“…Apart from industrialization, which fuelled Malaysia's significant economy and development, the country's agriculture industry performs a major role in guaranteeing food security and safety, as well as long-term development and wealth creation. …”
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