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  1. 1
    Classification and detection of intelligent house resident activities using multiagent

    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
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  2. 2
    A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems

    A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems by Yaseen, Zaher, Ehteram, Mohammad, Hossain, Md., Fai, Chow, Koting, Suhana, Mohd, Nuruol Syuhadaa, Jaafar, Wan Zurina Wan, Afan, Haitham Abdulmohsin, Lai, Sai Hin, Zaini, Nuratiah, Ahmed, Ali, El-Shafie, Ahmed

    Published 2019
    “…The excellent proficiency of the developed intelligence expert system is the result of the hybrid structure of the BA and PSO algorithm and the substitution of weaker solutions in each algorithm with better solutions from other algorithms. …”
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  3. 3
    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…In this study an intelligent learning system was developed to automate the collection of the machining data used by the skilled machinist. …”
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  4. 4
    Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing

    Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing by Fahad, Ahmed Mohammed, Ahmed, Abdulghani Ali, M. N. M., Kahar

    Published 2019
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  5. 5
    A new text-based w-distance metric to find the perfect match between words

    A new text-based w-distance metric to find the perfect match between words by Ali, M., Jung, L.T., Hosam, O., Wagan, A.A., Shah, R.A., Khayyat, M.

    Published 2020
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  6. 6
    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review

    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review by Krishna, Shwetank, Ridha, Syahrir, Vasant, Pandian M., Ilyas, Suhaib Umer, Sophian, Ali

    Published 2020
    “…These predictive and detecting models comprise of Artificial Intelligence (AI) algorithms that require improvements for data reduction, universal prediction and compatibility. …”
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  7. 7
    A Focal load balancer based algorithm for task assignment in cloud environment

    A Focal load balancer based algorithm for task assignment in cloud environment by Mohammed, Mostafa Abdulghfoor, Hasan, Raed Abdulkareem, Ahmed, Munef Abdullah, Tapus, Nicolae, Shnan, Marwan Ali, Khaleel, M. K., Ali, Ahmed H.

    Published 2019
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  8. 8
    Improvement anomaly intrusion detection using Fuzzy-ART based on K-means based on SNC Labeling

    Improvement anomaly intrusion detection using Fuzzy-ART based on K-means based on SNC Labeling by Zulaiha Ali Othman, Afaf Muftah Adabashi, Suhaila Zainudin, Saadat M. Al Hashmi

    Published 2011
    “…This paper presents our work to improve the performance of anomaly intrusion detection using Fuzzy-ART based on the K-means algorithm. The K-means is a modified version of the standard K-means by initializing the value K from the value obtained after data mining using Fuzzy-ART and SNC labeling technique. …”
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  9. 9
    Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.]

    Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.] by Azamin, N. H. R., Jahidin, A. H., Megat Ali, M. S. A., Taib, M. N.

    Published 2017
    “…Hence, this paper propose an improved extraction algorithm based on the use of high-order equiripple filters. …”
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  10. 10
    Review on real-time control schemes for wheeled mobile robot

    Review on real-time control schemes for wheeled mobile robot by M. Sawal, A. R., Ali, Mohammed A. H., Sha'akmal, S., Azwan, A. R. A

    Published 2018
    “…Four main categories for wheeled mobile robot control that have been found in literature which are namely: Kinematic based controller, Dynamic based controllers, artificial intelligence based control system, and Active Force control. …”
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  11. 11
    An overview on real-time control schemes for wheeled mobile robot

    An overview on real-time control schemes for wheeled mobile robot by M. S. A., Radzak, Ali, Mohammed A. H., S., Sha'amri, A. R., Azwan

    Published 2018
    “…Four main categories for wheeled mobile robot control systems have been found in literature which are namely: Kinematic based controller, Dynamic based controllers, artificial intelligence based control system, and Active Force control. …”
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  12. 12
    Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications

    Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications by Irwan D., Ali M., Ahmed A.N., Jacky G., Nurhakim A., Ping Han M.C., AlDahoul N., El-Shafie A.

    Published 2024
    “…Furthermore, we review the commonly adopted artificial intelligence-based models which have been utilized to forecast the water quality. 83 studies published from 2009 to 2023 were selected and reviewed based on their success in modelling and forecasting the water quality in multiple regions. …”
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  13. 13
    An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks

    An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks by Ghaleb, Abdulziz M., Mansoor, Ali Mohammed, Ahmad, Rodina

    Published 2018
    “…In this paper, we present resource-aware energy-saving technique based on the UC model for LTE-A HetNets. We formulate an optimization problem for UC as a mixed linear integer programming (MILP) that minimizes the total power consumption (Energy Efficiency) while respecting the data rate per user and propose a low complexity iterative algorithm to user terminal (UE)-eNodeB association. …”
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  14. 14
    Survey on encode biometric data for transmission in wireless communication networks

    Survey on encode biometric data for transmission in wireless communication networks by Ali M.H., Ibrahim A., Wahbah H., Al_Barazanchi I.

    Published 2023
    “…The aim of this research survey is to review an enhanced model supported by artificial intelligence to encode biometric data for transmission in wireless communication networks can be tricky as performance decreases with increasing size due to interference, especially if channels and network topology are not selected carefully beforehand. …”
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  15. 15
    A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs

    A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs by MOHAMMED AHMED JUBAIR, MOHAMMED AHMED JUBAIR, SALAMA A. MOSTAFA, SALAMA A. MOSTAFA, DILOVAN ASAAD ZEBARI, DILOVAN ASAAD ZEBARI, HUSSEIN MUHEE HARIZ, HUSSEIN MUHEE HARIZ, NEJOOD FAISAL ABDULSATTAR, NEJOOD FAISAL ABDULSATTAR, MUSTAFA HAMID HASSAN, MUSTAFA HAMID HASSAN, ALI HASHIM ABBAS, ALI HASHIM ABBAS, FATIMA HASHIM ABBAS, FATIMA HASHIM ABBAS, AREEJ ALASIRY, AREEJ ALASIRY, M. TURKI-HADJ ALOUANE, M. TURKI-HADJ ALOUANE

    Published 2022
    “…The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. …”
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  16. 16
    A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANET

    A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANET by JUBAIR, MOHAMMED AHMED, Mostafa, Salama A., ZEBARI, DILOVAN ASAAD, HARIZ, HUSSEIN MUHEE, ABDULSATTAR, NEJOOD FAISAL, HASSAN, MUSTAFA HAMID, ABBAS, ALI HASHIM, ABBAS, FATIMA HASHIM, ALASIRY, AREEJ, ALOUANE, M. TURKI-HADJ

    Published 2022
    “…The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. …”
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  17. 17
    A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs

    A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs by JUBAIR, MOHAMMED AHMED, A. MOSTAFA, SALAMA, DZEBARI, DILOVAN ASAAD, MUHEE HARIZ, HUSSEIN, ABDULSATTAR, NEJOOD FAISAL, HASSAN, MUSTAFA HAMID, ABBAS, ALI HASHIM, HASHIM ABBAS, FATIMA, ALASIRY, AREEJ, ALOUANE, M. TURKI-HADJ

    Published 2023
    “…The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. …”
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  18. 18
    A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancingm Efficiency and Security of VANET

    A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancingm Efficiency and Security of VANET by JUBAIR, MOHAMMED AHMED, MOSTAFA, SALAMA A., ASAAD ZEBARI, DILOVAN, MUHEE HARIZ, HUSSEIN MUHEE, ABDULSATTAR, NEJOOD FAISAL A, HAMID HASSAN, MUSTAFA, HASHIM ABBAS, ALI, HASHIM ABBAS, FATIMA, ALASIRY, AREEJ, ALOUANE, M. TURKI-HADJ

    Published 2022
    “…The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. …”
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  19. 19
    Hybrid optimal control-swarm intelligence for optimization of selected cancer chemotherapy model / Omar Ali Mohammad Shindi

    Hybrid optimal control-swarm intelligence for optimization of selected cancer chemotherapy model / Omar Ali Mohammad Shindi by Omar Ali , Mohammad Shindi

    Published 2018
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  20. 20
    Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility

    Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility by Roshahliza, M. Ramli, Salina, Abdul Samad, Noor, Ali O. Abid

    Published 2018
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