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  1. 1
    Lightning damage assessment on solar panels using in-house portable infrared thermography camera with Convolutional Neural Network (CNN) algorithm

    Lightning damage assessment on solar panels using in-house portable infrared thermography camera with Convolutional Neural Network (CNN) algorithm by Chandrasegaran, Ormiila, Mustapha, Faizal, Abdullah, Mohd Na’im, Anwar, Murniwati, Mustapha, Mazli, Adzis, Zuraimy

    Published 2024
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  2. 2
    Modeling the relationship between land use/land cover and land surface temperature in Dhaka, Bangladesh using CA-ANN algorithm

    Modeling the relationship between land use/land cover and land surface temperature in Dhaka, Bangladesh using CA-ANN algorithm by Kafy, Abdulla Al

    Published 2021
    “…Modeling the relationship between land use/land cover and land surface temperature in Dhaka, Bangladesh using CA-ANN algorithm by Kafy, Abdulla Al…”
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  3. 3
    Utilization of canny and velocity bunching algorithms for modelling shoreline change

    Utilization of canny and velocity bunching algorithms for modelling shoreline change by Marghany, Maged, Hashim, Mazlan

    Published 2006
    “…There is significant relationship between shoreline change rate estimated using Canny algorithm and ones modeled using velocity bunching model. …”
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  4. 4
    Ant colony optimization and genetic algorithm models for suspended sediment discharge estimation for gorgan-river, Iran

    Ant colony optimization and genetic algorithm models for suspended sediment discharge estimation for gorgan-river, Iran by Mohammad Reza Pour, Omolbani

    Published 2011
    “…The comparison between the GA1 and SRC models showed that the GA1 model for spring had more accuracy than the SRC model. …”
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  5. 5
    The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach

    The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach by Muhammad Ar Rahim, Ibrahim, Muhammad Amirul, Abdullah, Muhammad Nur Aiman, Shapiee, Mohd Azraai, Mohd Razman, Rabiu Muazu, Musa, Muhammad Aizzat, Zakaria, Noor Azuan, Abu Osman, Anwar P. P., Abdul Majeed

    “…A variation of k-NN algorithms were tested based on the number of neighbours, as well as the weight and the type of distance metric used. …”
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  6. 6
    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
    “…Two classification methods, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used in order to investigate the performance of classification accuracy for this E-nose system. …”
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  7. 7
    Cellular Automata-based Algorithm for Liquid Diffusion Phenomenon Modeling using imaging technique

    Cellular Automata-based Algorithm for Liquid Diffusion Phenomenon Modeling using imaging technique by Al-Ghaili, Abbas Mohammed Ali

    Published 2013
    “…A detailed study to explore the effects and relationships between the model‟s parameters such as temperature and liquids‟ viscosity has been performed. …”
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  8. 8
    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli

    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

    Published 2018
    “…The optimized GEP as a recent extension of GEP approach is superior to other AI-based methods in giving an optimized explicit equation, which clearly shows the relationship between input historical data and EEC in different countries without prior knowledge about the nature of the relationships between independent and dependent variables. …”
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  9. 9
    Hydroclimatic data prediction using a new ensemble group method of data handling coupled with artificial bee colony algorithm

    Hydroclimatic data prediction using a new ensemble group method of data handling coupled with artificial bee colony algorithm by Basri Badyalina, Nurkhairany Amyra Mokhtar, Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Mohamad Faizal Ramli, Muhammad Majid, Fatin Farazh Ya'acob

    Published 2022
    “…GMDH model is known to be an effective model in complying with a nonlinear relationship. …”
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  10. 10
    The effect of job satisfaction on the relationship between organizational culture and organizational performance

    The effect of job satisfaction on the relationship between organizational culture and organizational performance by Imran, Muhammad

    Published 2023
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  11. 11
    Contact strength generating algorithm for application in malaria transmission network

    Contact strength generating algorithm for application in malaria transmission network by Monday, Eze, Jane, Labadin, Terrin, Lim

    Published 2011
    “…Assuming the issues of determination of network structure, and evolution of requisite algorithm for generating realistic network are successfully tackled, an important challenge that must be dealt with is the determination of strength of the relationship between these interacting nodes of the network. …”
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  12. 12
    Comparison between regression and ANN models for relationship of soil properties and electrical resistivity

    Comparison between regression and ANN models for relationship of soil properties and electrical resistivity by Siddiqui, F.I., Pathan, D.M., Osman, S.B.A.B.S., Pinjaro, M.A., Memon, S.

    Published 2015
    “…The regression models of relationship between electrical resistivity and various soil properties used in the current research for the purpose of comparison with artificial neural network (ANN) models were adopted from the work of Siddiqui and Osman (Environ Earth Sci 70:259â��26, 2013). …”
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  13. 13
    Survival versus non-survival prediction after acute coronary syndrome in Malaysian population using machine learning technique / Nanyonga Aziida

    Survival versus non-survival prediction after acute coronary syndrome in Malaysian population using machine learning technique / Nanyonga Aziida by Nanyonga , Aziida

    Published 2019
    “…Prediction, identification, understanding and visualization of relationship between factors affecting mortality in ACS patients using feature selection and ML algorithms. …”
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  14. 14
    Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti

    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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  15. 15
    Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data

    Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data by Rostami, Mohammad

    Published 2016
    “…By using a Bivariate extreme model and the slice sampler algorithm, the relationship between the gold and American dollar returns in Malaysian market has been considered.…”
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  16. 16
    Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance

    Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance by Yeap, Eng Choo

    Published 2020
    “…To address this problem, we developed algorithms that quantify, reduce, and induce topographical effects in satellite images by exploring the relationship between direct and diffuse solar irradiance. …”
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  17. 17
    Hybrid optimization approach to estimate random demand

    Hybrid optimization approach to estimate random demand by Wahab, Musa, Ku-Mahamud, Ku Ruhana, Yasin, Azman

    Published 2012
    “…The main objective of this study is to develop a demand forecasting model that should reflect the characteristics of random demand patterns.To accomplish this goal, a hybrid algorithm combining a genetic algorithm and a local search algorithm method was developed to overcome premature convergence in local optima problems.The performance of the hybrid algorithm was compared with a single algorithm model in estimating parameter values that minimize objective function which was used to measure the goodness-of-fit between the observed data and simulated results.However, two problems had to be overcome in the forecasting random demand model. …”
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  18. 18
    Effort Estimation Model for Function Point Measurement

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

    Published 2007
    “…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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  19. 19
    Adaptive Spiral Dynamics Metaheuristic Algorithm for Global Optimisation with Application to Modelling of a Flexible System

    Adaptive Spiral Dynamics Metaheuristic Algorithm for Global Optimisation with Application to Modelling of a Flexible System by Ahmad Nor Kasruddin, Nasir, Raja Mohd Taufika, Raja Ismail, Tokhi, M. O.

    Published 2016
    “…This paper presents a nature-inspired metaheuristic algorithm namely linear adaptive spiral dynamics algorithm (LASDA) and its application to modelling of a flexible system. …”
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  20. 20
    Estimated and analysis of the relationship between the endogenous and exogenous variables using fuzzy semi-paranetric sample selection model

    Estimated and analysis of the relationship between the endogenous and exogenous variables using fuzzy semi-paranetric sample selection model by MuhamadSafiih, L, Kamil, A.A., Abu Osman, M.T.

    Published 2014
    “…A new framework of the relationship between the endogenous and exogenous variables of semi-parametric sample selection model using the concept of fuzzy modelling is introduced. …”
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