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  1. 1
    Vision Based Multi Sensor Feedback System For Robot System With Intelligent

    Vision Based Multi Sensor Feedback System For Robot System With Intelligent by Syed Mohamad Shazali, Syed Abdul Hamid

    Published 2009
    “…The algorithms function with success rate from 74% up to 100% and could handle the orientation of a tilted object up to 45 degrees. …”
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  2. 2
    Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging

    Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging by Olanrewaju, Rashidah Funke, Al-Qudah, Dua'a Mahmoud Mohammad, Azman, Amelia Wong, Yaacob, Mashkuri

    Published 2016
    “…From the pseudocode of the proposed algorithm, it is observed that the complexity of the algorithm is O(n) which is linear, hence the response time is considered good. …”
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  3. 3
    A new intelligent multilayer framework for insider threat detection

    A new intelligent multilayer framework for insider threat detection by Ahmad, Rabiah, Al-Mhiqani, Mohammed Nasser Ahmed, Zainal Abidin, Zaheera, Abdulkareem, Karrar Hameed, Mohammed, Mazin Abed, Gupta, Deepak K., Shankar K.

    Published 2021
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  4. 4
    Multidimensional Minimization Training Algorithms for Steam Boiler High Temperature Superheater Trip using Artificial Intelligence Monitoring System

    Multidimensional Minimization Training Algorithms for Steam Boiler High Temperature Superheater Trip using Artificial Intelligence Monitoring System by Alnaimi, F. B. I., Al-Kayiem, Hussain H.

    Published 2010
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  5. 5
    Computational dynamic support model for social support assignments around stressed individuals among graduate students

    Computational dynamic support model for social support assignments around stressed individuals among graduate students by Al-Shorman, Roqia Rateb

    Published 2020
    “…Hence, this study aims to develop the dynamic configuration algorithm to provide an optimal support assignment based on information generated from both social support recipient and provision computational models. …”
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  6. 6
    Enhanced hierarchical dynamic bandwidth allocation algorithm with excess bandwidth and SLA techniques for upstream ethernet PON

    Enhanced hierarchical dynamic bandwidth allocation algorithm with excess bandwidth and SLA techniques for upstream ethernet PON by Sadon S.Kh., Radzi N.A.M., Din N.M., Mustafa I.S., Al-Mansoori M.H., Yaacob M.

    Published 2023
    “…We show the results of simulations to validate the effectiveness of algorithms presented and to provide quality of service (QoS) for triple play real time services in Ethernet passive optical networks (EPONs). � 2009 IEEE.…”
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  7. 7
    Analysis of boiler operational variables prior to tube leakage fault by artificial intelligent system

    Analysis of boiler operational variables prior to tube leakage fault by artificial intelligent system by Al-Kayiem, H.H., Al-Naimi, F.B.I., Amat, W.N.B.W.

    Published 2014
    “…The ANN was trained and validated using real site data acquired from coal fired power plant in Malaysia. …”
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  8. 8
    Efficient and stable routing algorithm based on user mobility and node density in urban vehicular network

    Efficient and stable routing algorithm based on user mobility and node density in urban vehicular network by Al-Mayouf, Y.R.B., Ismail, M., Abdullah, N.F., Wahab, A.W.A., Mahdi, O.A., Khan, S., Choo, R.K.K.

    Published 2016
    “…The validity of the proposed algorithm is investigated by its comparison with ARP-QD protocol, which works on the mechanism of optimal route finding in VANETs in urban environments. …”
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  9. 9
    Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.]

    Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.] by M. A., Hambali, Y. K, Saheed, M. D, Gbolagade, M, Gaddafi

    Published 2017
    “…In doing this, two ANN algorithms (MLP and RBF) and SMO algorithm were employed and compared. …”
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  10. 10
    Privacy-preserving multi-keyword hybrid search over encrypted data in cloud

    Privacy-preserving multi-keyword hybrid search over encrypted data in cloud by Singh, N., Kumar, J., Singh, A.K., Mohan, A.

    Published 2022
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  11. 11
    Analysis of boiler operational variables prior to tube leakage fault by artificial intelligent system

    Analysis of boiler operational variables prior to tube leakage fault by artificial intelligent system by Al-Kayiem H.H., Al-Naimi F.B.I., Amat W.N.B.W.

    Published 2023
    “…The ANN was trained and validated using real site data acquired from coal fired power plant in Malaysia. …”
    Conference Paper
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  12. 12
    Transformer T-joint optimization using particle swarm optimization and hemisphere-shape design of the core

    Transformer T-joint optimization using particle swarm optimization and hemisphere-shape design of the core by Yehya, Omar Sharaf Al-Deen

    Published 2017
    “…Moreover, the proposed intelligent algorithm in this work can improve the transformer core design as well as can be applied to various power and distribution transformers.…”
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  13. 13
    Privacy-preserving multi-keyword hybrid search over encrypted data in cloud

    Privacy-preserving multi-keyword hybrid search over encrypted data in cloud by Singh, N., Kumar, J., Singh, A.K., Mohan, A.

    Published 2022
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  14. 14
    Current applications of machine learning in dentistry

    Current applications of machine learning in dentistry by Ghazali, Ahmad Badruddin, Reduwan, Nor Hidayah, Ibrahim, Roliana

    Published 2022
    “…The process is similar to a human expert that can learn by repeated training (Hung et al., 2019). The quality of the output depends on the quality of data used to train and validate the algorithm (Rowe, 2019). …”
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  15. 15
    EEG-based IQ pattern analysis: considerations on filter design and power ratio equations / Najwa Ahmad Suhaimi ...[et al.]

    EEG-based IQ pattern analysis: considerations on filter design and power ratio equations / Najwa Ahmad Suhaimi ...[et al.] by Ahmad Suhaimi, Najwa, Mohd Yassin, Ahmad Ihsan, Megat Ali, Megat Syahirul Amin, Jahidin, Aisyah Hartini

    Published 2022
    “…Recently, studies have characterized the different levels of intelligence quotient from the resting brainwaves. Various filter designs and power ratio equations have been proposed, all with unique strengths and limitations. …”
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  16. 16
    Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16

    Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16 by Ahmed Yahya Al-Galal, Sabaa, Taha Alshaikhli, Imad Fakhri, Abdulrazzaq, M. M., Hassan, Raini

    Published 2021
    “…The ability to estimate conclusions without direct human input in healthcare systems via computer algorithms is known as Artificial intelligence (AI) in healthcare. …”
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  17. 17
    Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj

    Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj by Othman, Ahmad Al Baqir, Ahmad, Salmiah, Badron, Khairayu, Altalmas, Tareq M. K.

    Published 2023
    “…The study starts with a lots of data collection from experts in pronouncing the Quranic letters via developed platform and Apps called SanaAlTajweed, data augmentation, data pre-processing, features extraction using MFCC and deep learning model and validation using designed Graphical User Interface (GUI). …”
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  18. 18
    AI Adoption for Steam Boiler Trip Prevention in Thermal Power Plants

    AI Adoption for Steam Boiler Trip Prevention in Thermal Power Plants by Ismail F.B., Al-Kayiem H.H., Kazem H.A.

    Published 2025
    “…The first intelligent system capitalizes on a pure Artificial Neural Network (ANN) approach, leveraging the insights drawn from plant operators' decision-making processes concerning the key variables influencing each specific boiler trip. …”
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  19. 19
    Modern fuzzy min max neural networks for pattern classification

    Modern fuzzy min max neural networks for pattern classification by Al Sayaydeh, Osama Nayel Ahmad

    Published 2019
    “…To overcome the network structure complexity of MDFMM, a further improvement is introduced by improving the selection of the winning hyperbox during the expansion process using the k-nearest neighbours algorithm (MDFMM-Kn). The performance of MDFMM and MDFMM-Kn was evaluated using different UCI benchmark datasets and 2D artificial intelligence dataset. …”
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  20. 20
    Obso based fractional pid for mppt-pitch control of wind turbine systems

    Obso based fractional pid for mppt-pitch control of wind turbine systems by Mehedi, I.M., Al-Saggaf, U.M., Vellingiri, M.T., Milyani, A.H., Saad, N.B., Yahaya, N.Z.B.

    Published 2022
    “…The proposed model aims to effectually extract the maximum power point (MPPT) in the low range of weather conditions and save the WT in high wind regions by the use of pitch control. The OBSO algorithm is derived from the integration of oppositional based learning (OBL) concept with the traditional BSO algorithm in order to improve the convergence rate, which is then applied to effectively choose the parameters involved in the FOPID controller. …”
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