Search Results - (( _ valuation model algorithm ) OR ( panel identification system algorithm ))

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  1. 1
    Model predictive control for MPPT of distributed photovoltaic module

    Model predictive control for MPPT of distributed photovoltaic module by Jowalin, Wellfred

    Published 2017
    “…A conventional P&O technique was design by develop the algorithm to compare the result. A plant using system identification developed as the MPC needs a plant for prediction. …”
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  2. 2
    A review of deep learning-based defect detection and panel localization for photovoltaic panel surveillance system

    A review of deep learning-based defect detection and panel localization for photovoltaic panel surveillance system by Mohamed Ameerdin, Muhammad Irshat, Jamaluddin, Muhammad Herman, Shukor, Ahmad Zaki, Mohamad, Syazwani

    Published 2024
    “…YOLO algorithms are utilized for their real-time detection capabilities, allowing for immediate identification and categorization of defects during routine inspections. …”
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  3. 3
    Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.]

    Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.] by Mohd, Thuraiya, Jamil, Syafiqah, Masrom, Suraya, Ab Rahim, Norbaya

    Published 2021
    “…To our knowledge, there is still no implementation of machine learning models on green building valuation features for building price prediction compared to conventional building development. …”
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  4. 4
    Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property

    Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property by Jahanshiri, Ebrahim

    Published 2013
    “…Among them, the statistical and spatio-temporal methods incorporate the location and time in the valuation modelling. These models however, are not widespread as the simple linear models due to scarcity of proper data and incomprehensive research findings on their implementation issues. …”
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  5. 5
    Optimizing solar streetlight systems for sustainable urban and community development

    Optimizing solar streetlight systems for sustainable urban and community development by Jun, L. W., Zabri, Siti Normi, Mohd Kassim, N. S., Mohamad, Sarah Yasmin

    Published 2025
    “…Through these enhancements, the system effectively reduced energy wastage, leading to the identification of the most efficient and practical battery capacity. …”
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  6. 6
    System identification of a solar maximum power point tracking system for dual axis / Thomas Davion, Noorazlina Mohamid Salih and Mohd Shahrizan Mohd Said

    System identification of a solar maximum power point tracking system for dual axis / Thomas Davion, Noorazlina Mohamid Salih and Mohd Shahrizan Mohd Said by Davion, Thomas, Mohamid Salih, Noorazlina, Mohd Said, Mohd Shahrizan

    Published 2019
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  7. 7
    An enhanced metaheuristic approach to solve quadratic assignment problem using hybrid technique

    An enhanced metaheuristic approach to solve quadratic assignment problem using hybrid technique by Hameed, Asaad Shakir

    Published 2021
    “…The valuate of performance HDDETS algorithm comparison to existing hybrid-based algorithms, namely: Biogeography-Based Optimization Tabu Search (BBOTS), Whale Algorithm with Tabu Search (WAITS), Hybrid Ant System (HAS), Lexisearch and Genetic Algorithms (LSGA), and Golden Ball Simulated Annealing (GBSA) algorithms. …”
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  8. 8
    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu

    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu by Yusnita, Muhamad Noor

    Published 2018
    “…It can be concluded that the algorithm and model proposed were useful for the development of the prototype. …”
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  9. 9
    Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques

    Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques by Che Soh, Azura, Mohamad Radzi, Nur Fadzilah, Mohamad Yusof, Umi Kalsom, Ishak, Asnor Juraiza, Hassan, Mohd Khair

    Published 2018
    “…Moreover, several factors might influence the accuracy of the human olfactory system as a sensory panel such as physical and mental conditions. …”
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  10. 10
    Fault-tolerant power extraction strategy for photovoltaic energy systems

    Fault-tolerant power extraction strategy for photovoltaic energy systems by Boutasseta, Nadir, Ramdani, Messaoud, Mekhilef, Saad

    Published 2018
    “…The FDI method is based on monitoring the PV panel generated power for the presence of abrupt changes; the MPPT reconfiguration is based on a combination between Incremental Conductance (IncCond) Algorithm and an Improved Current-based Particle Swarm Optimization (ICPSO) tracking technique. …”
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  11. 11
    A cause and effect of a nonpayment model based on the DEMATEL algorithm

    A cause and effect of a nonpayment model based on the DEMATEL algorithm by Lee, Chia Kuang, Bujna, Marián, Ahmad Huzaimi, Abd Jamil, Ee, Pei Theng

    Published 2023
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  12. 12
    Machine learning algorithms on price and rent predictions in real estate: A systematic literature review / Muhamad Harussani Abdul Salam ... [et al.]

    Machine learning algorithms on price and rent predictions in real estate: A systematic literature review / Muhamad Harussani Abdul Salam ... [et al.] by Abdul Salam, Muhamad Harussani, Mohd, Thuraiya, Masrom, Suraya, Johari, Noraini, Mohamad Saraf, Mohamad Haizam

    Published 2022
    “…This study will provide new insights on the Machine Learning Algorithms in the real estate industry.…”
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  13. 13
    Adaptive Selection Of KLSE Stocks Using Neural Networks

    Adaptive Selection Of KLSE Stocks Using Neural Networks by Kok, Chee Foong

    Published 2002
    “…This study also indicates that the neural network generated forecasting model is capable of outperforming the statistical model, as recorded by 80 percent neural network accuracy versus 77.3 percent binary logistic regression accuracy. …”
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  14. 14
    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak

    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

    Published 2019
    “…It involves development of Max-Min Rule-Based Classification Algorithm. The fourth stage is to design evaluation methodology of Max-Min Rule-Based Classification Algorithm using classifier model. …”
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  15. 15
    Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models

    Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models by Kashif, Nisar, Zulqurnain, Sabir, Muhammad Asif Zahoor, Raja, Ag. Asri Ag., Ibrahim, Joel J. P. C., Rodrigues, Adnan, Shahid Khan, Manoj, Gupta, Aldawoud, Kamal, Danda B., Rawat

    Published 2021
    “…In this work, a new heuristic computing design is presented with an artificial intelligence approach to exploit the models with feed-forward (FF) Gudermannian neural networks (GNN) accomplished with global search capability of genetic algorithms (GA) combined with local convergence aptitude of active-set method (ASM), i.e., FF-GNN-GAASM to solve the second kind of Lane–Emden nonlinear singular models (LE-NSM). …”
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  16. 16
    Green building factor in machine learning based condominium price prediction

    Green building factor in machine learning based condominium price prediction by Masrom, S., Mohd, T., Rahman, A.S.A.

    Published 2022
    “…Besides the performance comparisons, this paper presents the specific weight correlation in each of the machine learning models to describe the importance of the green building to the model. …”
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  17. 17
    Evolutionary integrated heuristic with gudermannian neural networks for second kind of lane– emden nonlinear singular models

    Evolutionary integrated heuristic with gudermannian neural networks for second kind of lane– emden nonlinear singular models by Kashif Nisar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, Adnan Shahid Khan, Manoj Gupta, Aldawoud Kamal, Danda B. Rawat

    Published 2021
    “…In this work, a new heuristic computing design is presented with an artificial intelligence approach to exploit the models with feed-forward (FF) Gudermannian neural networks (GNN) accomplished with global search capability of genetic algorithms (GA) combined with local convergence aptitude of active-set method (ASM), i.e., FF-GNN-GAASM to solve the second kind of Lane–Emden nonlinear singular models (LE-NSM). …”
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  18. 18
    Effectiveness of wheel-typed grain design for hybrid rocket motor performance

    Effectiveness of wheel-typed grain design for hybrid rocket motor performance by Kafafy, Raed Ismail, Azami, Hanafi, Idres, Moumen

    Published 2013
    “…An interior ballistic model is used for the analysis of the hybrid rocket performance. …”
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  19. 19
    A Molecular Modelling Approach for Designing a Novel Semisynthetic Metalloenzyme Based on Thermolysin

    A Molecular Modelling Approach for Designing a Novel Semisynthetic Metalloenzyme Based on Thermolysin by Jaafar, Ahmad Haniff

    Published 2006
    “…The computational tools used were Computational Atlas Topography of Protein (CASTp), a sophisticated molecular modeling environment InsightII, a conventional drug-docking algorithm Autodock 3.05 and a schematic diagram for protein-ligand interactions for a given PDB file LIGPLOT. …”
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