Search Results - (( developing formative aspect algorithm ) OR ( java application stemming algorithm ))

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  1. 1
    Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks

    Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks by Tahir, Mohammad, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

    Published 2017
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    Proceeding Paper
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  2. 2
    Registration and billing system

    Registration and billing system by Chin Yong, Tan

    Published 2005
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  3. 3
    Software Development For Conversion Of Ip To Wireless Atm (Watm)

    Software Development For Conversion Of Ip To Wireless Atm (Watm) by Sudhakar, Swarnappa Clement

    Published 2002
    “…Furthermore, discussion about the hardware methods of implementing communication protocols shows a way for the engineer to choose the right method for his future development of the protocols for implementation. Finally, this algorithmic approach is proposed to integrate this approach to simulate the methodology of IP to WATM conversion.…”
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  4. 4
    Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul

    Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul by Tom´As, Maul

    Published 2006
    “…Following this, at the formational level, various local mechanisms are investigated in the context of the biological development of the proposed neural architectures. …”
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  5. 5
    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing

    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

    Published 2024
    “…The firefly algorithm remains a feasible alternative for shallow architectural network models, while metaheuristic algorithms such as the Particle swarm algorithm and Bat algorithm are better options for deeper architectural network models. …”
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  6. 6
    A new mobile malware classification for call log exploitation

    A new mobile malware classification for call log exploitation by Madihah Mohd Saudi, Nurlida Basir, Mohd N.F.

    Published 2024
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  7. 7
    Development of a Production Planning and Control Software in Total Productivity Maintenance Environment

    Development of a Production Planning and Control Software in Total Productivity Maintenance Environment by Lee, Pang Seng

    Published 2004
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  8. 8
    Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles

    Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

    Published 2022
    “…Three state-of-theart contemporary actor-critic algorithms are used to create an extensive simulation in Unity3D. …”
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  9. 9
    Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles

    Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

    Published 2022
    “…Three state-of-the-art contemporary actor-critic algorithms are used to create an extensive simulation in Unity3D. …”
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  10. 10
    Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods

    Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods by Kadhem, Athraa Ali

    Published 2017
    “…Additionally, the present study has developed a prediction model of wind speed for these three sites in Malaysia. …”
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  11. 11
    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, S., Ridha, S., Vasant, P., Ilyas, S.U., Sophian, A.

    Published 2020
    “…Fluid loss to subsurface formations is a challenging aspect during drilling operations in petroleum industry. …”
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  12. 12
    Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data

    Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data by Mohd Rahim, Mohd Shafry

    Published 2008
    “…In developing the visualization tool, visualization algorithm was used by employing the morphing technique which uses parametric equation. …”
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  13. 13
    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
    “…Fluid loss to subsurface formations is a challenging aspect during drilling operations in petroleum industry. …”
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  14. 14
    Wearables-assisted smart health monitoring for sleep quality prediction using optimal deep learning

    Wearables-assisted smart health monitoring for sleep quality prediction using optimal deep learning by Hamza, Manar Ahmed, Hassan Abdalla Hashim, Aisha, Alsolai, Hadeel, Gaddah, Abdulbaset, Othman, Mahmoud, Yaseen, Ishfaq, Rizwanullah, Mohammed, Zamani, Abu Sarwar

    Published 2023
    “…Recently, deep learning (DL) models have been employed for predicting sleep quality depending upon the wearables data from the period of being awake. In this aspect, this study develops a new wearables-assisted smart health monitoring for sleep quality prediction using optimal deep learning (WSHMSQP-ODL) model. …”
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  15. 15
    Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area

    Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area by Ismail, Marzuki

    Published 2005
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  16. 16
    Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies

    Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies by Taofeeq, D. M., Adeleke, A. Q., Lee, Chia Kuang

    Published 2020
    “…Partial least square-SEM is an appropriate analysis that was used to assess the results in the current research because its algorithm permits the unrestricted computation of cause-effect relationship models that use both reflective and formative measurement models. …”
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