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    DEVELOPMENT OF REGIONAL TSS ALGORITHM OVER PENANG USING MODIS TERRA (250 M) SURFACE REFLECTANCE PRODUCT by Mat Amin, Abd Rahman, Abdullah, Khiruddin, Hwee , San Lim, Embong, Muhd Fauzi, Ahmad, Fadhli, Yaacob, Rosnan

    Published 2016
    “…The correlation is highly dependent on geography of the study area. The aim of this study was to develop specific algorithms utilizing corrected MODIS Terra 250-m surface reflectance (Rrs) product (MOD09) to map TSS over the Penang coastal area. …”
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    Article
  2. 2

    Prediction of Total Suspended Sediments in Penang Waters Using Remote Sensing by Tan, Sek Aun

    Published 2004
    “…However, the Algorithm 6 showed the best results in predicting TSS concentration for the Penang waters. …”
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    Thesis
  3. 3

    Analyzing land surface temperature in response to massive urbanization by using single window algorithm in Penang Island / Ainna Naeemah Zainal Abidin by Zainal Abidin, Ainna Naeemah

    Published 2019
    “…In order to achieve the aim, several objective must be carried out which are including the classification process in order to identify urban area in Penang Island in both image. Next will be the extraction of Land Surface Temperature (LST) by using Spectral Radiance Model and Single Window Algorithm through the satellite imagery. …”
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    Thesis
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    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network by Mohd Hamdan, Eleena Yasmeen

    Published 2021
    “…Thereupon, in this study, the WQI prediction model for Penang rivers has been developed by using Artificial Neural Network (ANN) architecture in MATLAB. …”
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    Monograph
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    Modelling of tsunami wave spectra propagation run-up in Sri-Lanka and Indonesia by Marghany, Maged, Thamayendhi, Thamayendhi, Mazlan, Hashim

    Published 2006
    “…The study shows too Canny algorithm has more precisely implementation in automatic detection of coastal vegetation line than Soble algorithm. …”
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    Conference or Workshop Item
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    Simulation of Tsunami Wave Spectra on Sri Lanka and Indonesia by Marghany , Maged, Hashim, Mazlan

    Published 2006
    “…The study shows too Canny algorithm has more precisely implementation in automatic detection of coastal vegetation line than Soble algorithm. …”
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    Article
  12. 12

    Simulation of Tsunami Wave Spectra on Sri-Lanka and Indonesia by Marghany , Maged, Hashim, Mazlan

    Published 2006
    “…The study shows too Canny algorithm has more precisely implementation in automatic detection of coastal vegetation line than Soble algorithm. …”
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    Article
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    Image-based atmosphere correction using dark pixel subtraction technique in Penang Island, Malaysia / Wan Noni Afida Ab Manan, Arnis Asmat and Noordin Ahmad by Ab Manan, Wan Noni Afida, Asmat, Arnis, Ahmad, Noordin

    Published 2017
    “…It has been shown that determined the aerosol is highly correlated to the visibility range from 10 to 50 km. Study also found that optical satellite remotely sensed image data (Landsat TM blue band) can be used to determine the visibility value through the darkest pixel atmospheric correction algorithms.…”
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    Article
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    Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models by Hilal, Yousif Yakoub

    Published 2019
    “…The study used input energy data from 8 variables for developing energy models. …”
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    Thesis
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    A Comparison On Neural Network Forecasting. by Ong, Hong Choon, Chan, Shin Yue

    Published 2011
    “…An eighteen years bimonthly water consumption in Penang data set is analyzed. Multilayer perceptron (MLP) in neural network with single hidden layer and double hidden layers using errorbackpropagation algorithm models are used.…”
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    Conference or Workshop Item
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    Addressing overfitting and overestimation challenges in landslide susceptibility modeling : a case study of Penang Island, Malaysia by Dorothy, Martin Atok, Chai, Soo See

    Published 2025
    “…Using data from Penang Island in Malaysia, we comprehensively incorporated topographical, hydrological, human, and environmental factors infuencing landslides. …”
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    Article