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  1. 1
    Implementing Station-to-Station protocol using Multi Prime RSA Cryptosystem / Muhammad Arif Musa Abdullah

    Implementing Station-to-Station protocol using Multi Prime RSA Cryptosystem / Muhammad Arif Musa Abdullah by Abdullah, Muhammad Arif Musa

    Published 2023
    “…In this study, the Station-to-Station protocol will use three (3) prime numbers Multi-Prime RSA Digital Signature. …”
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    Student Project
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  2. 2
    Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm

    Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm by Talib, Nihad Hasan

    Published 2020
    “…The Gradient-Based Cuckoo Search (GBCS) algorithm was used to achieve the final objective. …”
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    Thesis
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  3. 3
    Application of Lamport Digital Signature Scheme into the station-to-station protocol / Md Nizam Udin … [et al.]

    Application of Lamport Digital Signature Scheme into the station-to-station protocol / Md Nizam Udin … [et al.] by Udin, Md Nizam, Mohd Amin, Farah Azaliney, Mat Abu, Nor Ainaa, Mohamad Sarif, Siti Nurfazlina, Mohammad Zuki, Nur Athirah

    Published 2022
    “…The results from the study are STS protocol algorithms that provide a verification scheme using the Lamport Digital Signature Scheme. …”
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  4. 4
    Optimisation of multi-stage production-inspection stations using genetic algorithm

    Optimisation of multi-stage production-inspection stations using genetic algorithm by Hassan, Azmi, Pham, Duc Trung

    Published 2000
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  5. 5
    Sustainable Management Of River Water Quality Using Artificial Intelligence Optimisation Algorithms

    Sustainable Management Of River Water Quality Using Artificial Intelligence Optimisation Algorithms by Chia, See Leng

    Published 2021
    “…Among the hybrid models, in terms of accuracy, the best optimisation algorithm at station 1K06 was the AMFO while the best optimisation algorithm at station 1K07 was the HPSOGA. …”
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    Final Year Project / Dissertation / Thesis
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  6. 6
    Design and development of an intelligent battery charger station

    Design and development of an intelligent battery charger station by Teoh, Weee Wee

    Published 2009
    “…There are four basic charging algorithm used in this charger: slow (10%C), soft (20%C), fast (55%C) and trickle (4%C). …”
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    Monograph
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  7. 7
    Green network planning and operational power consumption optimization in LTE-A using artificial intelligence

    Green network planning and operational power consumption optimization in LTE-A using artificial intelligence by Al-Samawi, Aida Ismail Ahmed

    Published 2015
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    Thesis
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  8. 8
    Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm

    Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm by Ehteram M., Panahi F., Ahmed A.N., Huang Y.F., Kumar P., Elshafie A.

    Published 2023
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  9. 9
    Implementation of the Merkle-Hellman knapsack cryptosystem into station-to-station protocol / Nurzhulaika Yahya, Noor Izzah Agil and Nur ‘Afini Nordin

    Implementation of the Merkle-Hellman knapsack cryptosystem into station-to-station protocol / Nurzhulaika Yahya, Noor Izzah Agil and Nur ‘Afini Nordin by Yahya, Nurzhulaika, Agil, Noor Izzah, Nordin, Nur ‘Afini

    Published 2023
    “…A cryptographic mechanism called station-to-station is used to provide a secure channel of communication between two parties. …”
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  10. 10
    Short Term Load Forecasting using Functional Link Network

    Short Term Load Forecasting using Functional Link Network by Muthukumaran, Sithambaram, Thyagarajah, K., Paulraj, Murugesa Pandiyan, Prof. Madya Dr.

    Published 2011
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  11. 11
    Sales prediction for Adha Station by using predictive analytics

    Sales prediction for Adha Station by using predictive analytics by Mohd Mokhid, Muhammad Amier Latieff

    Published 2025
    “…Additionally, pre-processing is conducted using the RapidMiner application prior to mapping the cleaned data with three distinct algorithms for predictive analysis: Decision Tree, Random Forest, and Multiple Linear Regression techniques. …”
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  12. 12
    Time series modeling of water level at Sulaiman Station, Klang River, Malaysia

    Time series modeling of water level at Sulaiman Station, Klang River, Malaysia by Galavi, Hadi

    Published 2010
    “…The estimation of parameters of the model is accomplished using the hybrid learning algorithm consisting of standard neural network backpropagation algorithm and least squares method. …”
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  13. 13
    Wireless network power optimization using relay stations blossoming and withering technique

    Wireless network power optimization using relay stations blossoming and withering technique by Al-Samawi, Aida, Sali, A., Nissirat, Liyth Ahmad, Noordin, Nor Kamariah, Othman, Mohamed, Hashim, Fazirulhisyam

    Published 2017
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  14. 14
    Comparison of different neural network training algorithms for wind velocity forecasting

    Comparison of different neural network training algorithms for wind velocity forecasting by KhalajiAssadi , Morteza, Safaei , Shervin

    Published 2016
    “…In this paper the wind speed is predicted by the use of data provided from the Mehrabad meteorological station located in Tehran, Iran, Collected between 2003 and 2008. …”
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  15. 15
    Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm

    Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm by Mohamadi S., Sammen S.S., Panahi F., Ehteram M., Kisi O., Mosavi A., Ahmed A.N., El-Shafie A., Al-Ansari N.

    Published 2023
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  16. 16
    An enhanced mobile internet protocol version 6 (IPv6) with multicast function and hierarchical design.

    An enhanced mobile internet protocol version 6 (IPv6) with multicast function and hierarchical design. by Khatun, Sabira

    Published 2006
    “…It integrates hierarchical concept and multicast function. Hierarchical design is used to shield the micro mobility from macro mobility in order to reduce location update signal and signalling traffic within micro level network while multicasting is used to send packets to Mobile Node (MN) through base stations that are near to MN. …”
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    Patent
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  17. 17
    Rainfall modeling using two different neural networks improved by metaheuristic algorithms

    Rainfall modeling using two different neural networks improved by metaheuristic algorithms by Sammen S.S., Kisi O., Ehteram M., El-Shafie A., Al-Ansari N., Ghorbani M.A., Bhat S.A., Ahmed A.N., Shahid S.

    Published 2024
    “…Six hybrid soft computing models, including�multilayer perceptron (MLP)�Henry gas solubility optimization (HGSO), MLP�bat algorithm (MLP�BA), MLP�particle swarm optimization (MLP�PSO), radial basis neural network function (RBFNN)�HGSO, RBFNN�PSO, and RBFGNN�BA, were used in this study to forecast monthly rainfall at two stations in Malaysia (Sara and Banding). …”
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  18. 18
    Bayesian inference for the bivariate extreme model

    Bayesian inference for the bivariate extreme model by Mohd Amin, Nor Azrita, Adam, Mohd Bakri

    Published 2016
    “…Using simulation study, the capability of MTM algorithm to analyze the posterior distribution is implement. …”
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    Conference or Workshop Item
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  19. 19
    Application of augmented bat algorithm with artificial neural network in forecasting river inflow of hydroelectric reservoir stations in Malaysia

    Application of augmented bat algorithm with artificial neural network in forecasting river inflow of hydroelectric reservoir stations in Malaysia by Joe Wee Wei, Mr.

    Published 2023
    “…However, standalone models, such as Artificial Neural Network (ANN), typically underperform during local convergence and resulted in slow-speed convergence. Thus, Bat Algorithm (BA) was used to enhance the efficiency of ANN in forecasting upstream river SF, as BA is capable of switching from the “explore to exploit” function which could increase the rate of convergence at the initial stage and deliver a quick result for a majority of a classification problem. …”
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  20. 20
    Artificial neural networks for water level prediction based on Z-score technique in Kelantan river / Khairah Jaafar ...[et al.]

    Artificial neural networks for water level prediction based on Z-score technique in Kelantan river / Khairah Jaafar ...[et al.] by Jaafar, Khairah, Ismail, Nurlaila, Tajjudin, Mazidah, Adnan, Ramli, Rahiman, Mohd Hezri Fazalul

    Published 2018
    “…The ANN model was formulated to simulate water level using feedforward algorithm. Readings from 6 stations from rainfall stations showed that S1, S2, S3 and S6 code station while S1 and S2 for water level station were significant value based on ZScore processing method. …”
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