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  1. 1
    Electricity demand forecasting in Turkey and Indonesia using linear and nonlinear models based on real-value genetic algorithm and extended Nelder-Mead local search

    Electricity demand forecasting in Turkey and Indonesia using linear and nonlinear models based on real-value genetic algorithm and extended Nelder-Mead local search by Wahab, Musa

    Published 2014
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  2. 2
    Optimization of neural network architecture using genetic algorithm for load forecasting

    Optimization of neural network architecture using genetic algorithm for load forecasting by Islam, B.U., Baharudin, Z., Raza, M.Q., Nallagownden, P.

    Published 2014
    “…Multi-objective algorithm is proposed in this research which optimizes the ANN architecture that leads to enhancement in load forecast accuracy and reduction in the computational cost. …”
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  3. 3
    A performance analysis of association rule mining algorithms

    A performance analysis of association rule mining algorithms by Fageeri, S.O., Ahmad, R., Alhussian, H.

    Published 2016
    “…In this paper, we evaluate the performance of association rule mining algorithms in-terms of execution times and memory usage using the CPU profiler of Java VisualVM. …”
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  4. 4
    Hybridization of ensemble kalman filter and non-linear auto-regressive neural network for financial forecasting

    Hybridization of ensemble kalman filter and non-linear auto-regressive neural network for financial forecasting by Abdulkadir, S.J., Yong, S.-P., Marimuthu, M., Lai, F.-W.

    Published 2014
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  5. 5
    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing

    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

    Published 2024
    “…Real-world optimizations, such as forecasting streamflow, are a complicated process that is highly non-linear and multi-modal, demanding the use of a suitable modeling tool, with an emphasis on artificial intelligence algorithms, to get befitting forecast results. …”
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  6. 6
    Performance evaluation of real-time multiprocessor scheduling algorithms

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…We hyave used the CPU profiler of Oracle JavaTM VisualVM to monitor the execution of LRE-TL as well as USG algorithms. …”
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  7. 7
    Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model

    Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model by Salleh, Roselina, Shamsuddin, Siti Mariyam

    Published 2007
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  8. 8
    Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman

    Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman by Abdurahman, Nur Athirah

    Published 2023
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  9. 9
    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy

    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
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  10. 10
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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  11. 11
    Weather prediction system using ANN algorithm / Nur Afiqah Ahmad Sukri

    Weather prediction system using ANN algorithm / Nur Afiqah Ahmad Sukri by Ahmad Sukri, Nur Afiqah

    Published 2024
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  12. 12
    A review on artificial intelligence methodologies for the forecasting of crude oil price

    A review on artificial intelligence methodologies for the forecasting of crude oil price by Haruna, Chiroma, Abdul-Kareem, Sameem, Mohd Nor, Ahmad Shukri, Abubakar, Adamu, Safa, Nader Sohrabi, Shuib, Liyana, Hamza, Mukhtar Fatihu, Ya'u Gital, Abdulsalam, Herawan, Tutut

    Published 2016
    “…In this paper, we present an extensive review of the existing research that has been conducted on applications of computational intelligence algorithms to crude oil price forecasting. …”
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  13. 13
    Analysis of short term load forecasting techniques / Tan Vy Luoh

    Analysis of short term load forecasting techniques / Tan Vy Luoh by Tan, Vy Luoh

    Published 2019
    “…The relative error between actual load and forecasted load is computed and used to compare the performance among three STLF techniques. …”
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  14. 14
    The basics of multi-layer feedforward neural networks / Nurul Aityqah Yaccob and Farizuwana Akma Zulkifle

    The basics of multi-layer feedforward neural networks / Nurul Aityqah Yaccob and Farizuwana Akma Zulkifle by Yaccob, Nurul Aityqah, Zulkifle, Farizuwana Akma

    Published 2025
    “…The coefficients assigned to these predictors are called "weights," and the forecasts are generated through a linear combination of the inputs. …”
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    Monograph
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  15. 15
    Applications of IoT and Artificial Intelligence in Water Quality Monitoring and Prediction: A Review

    Applications of IoT and Artificial Intelligence in Water Quality Monitoring and Prediction: A Review by Mustafa H.M., Mustapha A., Hayder G., Salisu A.

    Published 2023
    Conference Paper
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  16. 16
    Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer

    Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

    Published 2025
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  17. 17
    Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks

    Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks by Islam, B., Baharudin, Z., Nallagownden, P.

    Published 2015
    “…The proposed input variable selection approach not only improves that forecast accuracy but also reduces the computational efforts and training time of forecasting models. …”
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  18. 18
    A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS

    A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS by DELLON, NELSON BRUNNIE

    Published 2023
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    Final Year Project Report / IMRAD
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  19. 19
    Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin

    Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin by Nasaruddin, Amir Hambaly

    Published 2019
    “…D3.js is used as a technology to visualize the result in interactive form or dynamic visualization which is a JavaScript library and Python is a language to program the system. …”
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  20. 20
    Effort Estimation Model for Function Point Measurement

    Effort Estimation Model for Function Point Measurement by Koh, Tieng Wei

    Published 2007
    “…The total of 2265 historical business information systems collected by International Software Benchmarking Standard Groups (ISBSG) has been used to generate and validate the model using statistical technique, known as linear regression analysis. We proposed that a project’s functionality in the terms of function points has an approximately linear relationship to the final effort computation. …”
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