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  1. 1
    Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm

    Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm by ,, Dwi Pebrianti, Ann Ayop azmi, Nurnajmi Qasrina, Bayuaji, Luhur, Suarin, Nur Aisyah Syafinaz, ,, Muhammad Syafrullah

    Published 2022
    “…Three different optimization algorithms which are Bat Algorithm (BA), Bat Algorithm with Mutation (BAM) and Extended Bat Algorithm (EBA) are implemented to optimize the value of PID controller gain for wheel mobile robot. …”
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  2. 2
    Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff

    Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff by Mohd Yusoff, Nurulanis

    Published 2017
    “…Thus, it can be concluded that QEEA algorithm is the most energy efficient and the best candidate for provisioning the QoS for the real time (RT) and non-real time (NRT) applications.…”
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  3. 3
    PID controller design for mobile robot using Bat Algorithm with Mutation (BAM)

    PID controller design for mobile robot using Bat Algorithm with Mutation (BAM) by Pebrianti, Dwi, Indra, Riyanto, Bayuaji, Luhur, Muhammad Syafrullah, ., Arumgam, Yogesvaran, Nurnajmin Qasrina, Ann

    Published 2019
    “…Here, an optimization algorithm called Bat Algorithm with Mutation (BAM) is proposed to optimize the value of PID controller gain for mobile robot. …”
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  4. 4
    Multi-Robot Learning with Bat Algorithm With Mutation (Bam)

    Multi-Robot Learning with Bat Algorithm With Mutation (Bam) by Chandrathevan, Sathiamurthy

    Published 2022
    “…BAT algorithm is implemented to achieve the target. …”
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  5. 5
    Thalassaemia detection using CBR Algorithm via mobile device

    Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

    Published 2011
    “…CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. …”
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  6. 6
    A new Doppler Spread Estimation Algorithm Based on Zero Crossings of The Auto-correlation

    A new Doppler Spread Estimation Algorithm Based on Zero Crossings of The Auto-correlation by Altag Ali, Gassan, Jeoti , Varun, Manzoor, Shahid

    Published 2010
    “…A precise estimation of the mobile speed and/or velocity is of great significance in wireless mobile applications which needs the acquaintance of the rate of the channel variations. …”
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  7. 7
    A new mobile botnet classification based on permission and API calls

    A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

    Published 2024
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  8. 8
    Thalassaemia detection using CBR Algorithm via mobile device

    Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

    Published 2011
    “…CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. …”
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  9. 9
    New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study

    New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study by Norhidayah, Muhammad, Jasni, Mohamad Zain, Md Yazid, Mohd Saman

    Published 2012
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  10. 10
    A New Mobile Botnet Classification based on Permission and API Calls

    A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

    Published 2024
    “…Therefore, this paper presents a new mobile botnet classification based on permission and Application Programming Interface (API) calls in the smartphone. …”
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  11. 11
    New algorithms to minimize handoff latency in AMTree protocol

    New algorithms to minimize handoff latency in AMTree protocol by Al-Sharafi, Ali, Othman, Mohamed, K. Subramaniam, Shamala

    Published 2009
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  12. 12
    Mobile Map-Based Positioning System Using Segmentation Algorithm (MM-BPS)

    Mobile Map-Based Positioning System Using Segmentation Algorithm (MM-BPS) by Migdady, Hazem Moh'd Ali

    Published 2008
    “…Vaishnavi and Kuechler Methodology has been implemented in various applications and it considered as a general methodology to develop totally new algorithms and create new information according to the accumulated information. …”
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  13. 13
    A novel clustering algorithm for mobile ad hoc networks based on determination of virtual links’ weight to increase network stability

    A novel clustering algorithm for mobile ad hoc networks based on determination of virtual links’ weight to increase network stability by Karimi, Abbas, Afsharfarnia, Abbas, Zarafshan, Faraneh, Syed Mohamed, Syed Abdul Rahman Al-Haddad

    Published 2014
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  14. 14
    Adaptive fault tolerant checkpointing algorithm for cluster based mobile Ad Hoc networks

    Adaptive fault tolerant checkpointing algorithm for cluster based mobile Ad Hoc networks by Mansour, Houssem, Badache, Nadjib, Aliouat, Makhlouf, Pathan, Al-Sakib Khan

    Published 2015
    “…This has made possible to create a distributed mobile computing application and has also brought several new challenges in distributed algorithm design. …”
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  15. 15
    Extreme learning machine for user location prediction in mobile environment

    Extreme learning machine for user location prediction in mobile environment by Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media Anugerah, Md. Tap, Abu Osman

    Published 2011
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  16. 16
    Fast handover algorithm for hierarchical mobile IPv6 macro-mobility management

    Fast handover algorithm for hierarchical mobile IPv6 macro-mobility management by Vivaldi, Indra, Habaebi, Mohamed Hadi, Mohd Ali, Borhanuddin, V., Prakash

    Published 2003
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  17. 17
    The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition

    The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition by M. A., Ameedeen, Marhaini, M. S.

    Published 2016
    “…This research is mainly focused on creating a new algorithm based on classification technique to calculate food calorie intake in real-time. …”
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  18. 18
    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks

    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks by Mubarak, Mohammed Awadh Ahmed Ben

    Published 2013
    “…It reduces the number of handovers by 29.7% and 26.9%, respectively, compared to the conventional RSSI based handover algorithm and the previous worked, mobility improved handover (MIHO) algorithm. …”
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  19. 19
    A new multicast-based architecture to support host mobility in IPv6

    A new multicast-based architecture to support host mobility in IPv6 by M. Ali, Borhanuddin, Habaebi, Mohamed Hadi, AI-Talib, Sahar

    Published 2003
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  20. 20
    Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali

    Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali by Ihsan , Ali

    Published 2024
    “…To address relay node selection and data scheduling issues, Energy-Efficient Scheduling (EES) and Energy-Efficient Un-Scheduling (EEUS) methods have been introduced using the Improved Discrete Bat Algorithm (IDBA) along with the Adaptive Warshal Floyd algorithm (AWF). …”
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