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  1. 1
    Non-probabilistic approach to cooperative position tracking in large swarm of simple mobile robots using triangular cross-observation

    Non-probabilistic approach to cooperative position tracking in large swarm of simple mobile robots using triangular cross-observation by Din, Abdul Sattar

    Published 2013
    “…The performance of the algorithm was validated and compared against that of the EKF through series of simulations using Stage multi-agent simulator. …”
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  2. 2
    Recent research in cooperative path planning algorithms for multi-agent using mixed- integer linear programming

    Recent research in cooperative path planning algorithms for multi-agent using mixed- integer linear programming by Che Ku, Nor Azie Hailma, Omar, Rosli, Sabudin Elia Nadira, Sabudin Elia Nadira

    Published 2016
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  3. 3
    Dynamic social behavior algorithm for real-parameter optimization problems and optimization of hyper beamforming of linear antenna arrays

    Dynamic social behavior algorithm for real-parameter optimization problems and optimization of hyper beamforming of linear antenna arrays by Prajindra�Sankar K., Kiong T.S., Siaw�Paw J.K.

    Published 2023
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  4. 4
    A new fuzzy peer assessment methodology for cooperative learning of students

    A new fuzzy peer assessment methodology for cooperative learning of students by Tay, Kai Meng, Kok, Chin Chai, Chee, Peng Lim

    Published 2015
    “…In this paper, a new fuzzy peer assessment methodology that considers vagueness and imprecision of words used throughout the evaluation process in a cooperative learning environment is proposed. …”
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  5. 5
    Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System

    Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System by Abidin, Zulkifli Zainal

    Published 2013
    “…In this thesis, a simple framework and methodology in developing a bio-inspired algorithm for cooperative swarming robotic application has been developed. …”
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  6. 6
    An expanded square pattern technique in swarm of quadcopters for exploration algorithm

    An expanded square pattern technique in swarm of quadcopters for exploration algorithm by Zuhri, Muhammad Fuad Reza, Ismail, Amelia Ritahani

    Published 2017
    “…In order to analysed and evaluate the performance of all algorithms, the data of simulation is documented. Some comparisons are conducted such as the performance of all algorithms, the performance of a group of the quadcopter, the covered spaces and the cooperation among groups.…”
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  7. 7
    Multi-Robot Cooperation using Immune Network with Memory

    Multi-Robot Cooperation using Immune Network with Memory by Razali, Sazalinsyah, Meng, Qinggang, Yang, Shuang-Hua

    Published 2009
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  8. 8
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  9. 9
    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques

    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques by Farhan, Farhan Abdel-Fattah Ahmad

    Published 2011
    “…The proposed algorithm employs a combined model that uses two different measures (nonconformity metric measures and Local Distance-based Outlier Factor (LDOF)) to improve its detection ability. …”
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  10. 10
    Agreement options for negotiation on material location decision of housing development

    Agreement options for negotiation on material location decision of housing development by Utomo, C., Rahmawati, Y.

    Published 2020
    “…A support model enables negotiation process in group decision. Decision algorithms are based on the cooperative game theory to develop the agreement options and coalition formation. …”
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  11. 11
    Solving large-scale problems using multi-swarm particle swarm approach

    Solving large-scale problems using multi-swarm particle swarm approach by Salih, Sinan Q., Alsewari, Abdulrahman A.

    Published 2018
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  12. 12
    A survey of state of the art: hierarchical routing algorithms for wireless sensor networks

    A survey of state of the art: hierarchical routing algorithms for wireless sensor networks by Kareem, Husam, Hashim, Shaiful Jahari, Sali, Aduwati, Subramaniam, Shamala

    Published 2014
    “…One of those solutions is using efficient routing algorithm. The most efficient type of algorithms that can be used for WSNs in large areas is hierarchical routing algorithms. …”
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  13. 13
    Improving performance of mobile ad hoc networks using efficient Tactical On Demand Distance Vector (TAODV) routing algorithm

    Improving performance of mobile ad hoc networks using efficient Tactical On Demand Distance Vector (TAODV) routing algorithm by Uddin, Mueen, Abdul Rahman, Azizah, Alarifi, Abdulrahman, Talha, Muhammad, Shah, Asadullah, Iftikhar, Mohsin, Zomaya, Albert

    Published 2012
    “…It also describes the design of a novel on-demand routing algorithm. Most of the proposed algorithms use a blind ooding technique during the route discovery process. …”
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  14. 14
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  15. 15
    A fast learning network with improved particle swarm optimization for intrusion detection system

    A fast learning network with improved particle swarm optimization for intrusion detection system by Ali, Mohammed Hasan

    Published 2019
    “…However, the internal power parameters (weight and basis) of FLN are initialized at random, causing the algorithm to be unstable. In this work, a new cooperative multi-swarm scheme called multi-swarmoptimization (MRPSO) which is inspired by the human social behavior was proposed for the interaction of several PSO groups while searching for the best parameters values of PSO. …”
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  16. 16
    Cluster-based spectrum sensing scheme in heterogeneous network

    Cluster-based spectrum sensing scheme in heterogeneous network by Hasan, Mohammad Kamrul, Ismail, Ahmad Fadzil, Hassan Abdalla Hashim, Aisha, Mohd. Ramli, Huda Adibah, Hashim, Wahidah, Islam, Shayla, Badron, Khairayu

    Published 2014
    “…To detect spectrums from nearby macrocell (macro-eNodeB) HeNodeBs are grouped in to cluster. A cluster formation algorithm is also proposed in where, cluster head (CH) and signaling node (SN) will detect implies the multi-channel SS technique. …”
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  17. 17
    Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network

    Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network by Jahan, Mohammad Saukat

    Published 2015
    “…In CGT-MAC, after geographically grouped into clusters, all SNs within a cluster based on current traffic conditions select a proper backoff period using the game theory for data transmission. …”
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  18. 18
    Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model

    Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model by Norhaida, Binti Hussain, Wai Shiang, Cheah, Wai Loke, Seng

    Published 2025
    “…Simulation models replicate victim agent and leader-follower behaviour using leader-follower models. Simulations show that grouping tactics and message forwarding increase evacuation time by 4–31%. …”
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  19. 19
    Cluster-based spectrum sensing scheme in heterogeneous network

    Cluster-based spectrum sensing scheme in heterogeneous network by Hasan, Mohammad Kamrul, Ismail, Ahmad Fadzil, Mohd. Ramli, Huda Adibah, Hassan Abdalla Hashim, Aisha, Islam, Shayla, Hashim, Wahidah, Badron, Khairayu

    Published 2015
    “…To detect spectrums from nearby macrocell (macro-eNodeB) HeNodeBs are grouped in to cluster. A cluster formation algorithm is also proposed in where, cluster head (CH) and signaling node (SN) will detect implies the multi-channel SS technique. …”
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  20. 20
    Cluster-based spectrum sensing scheme in heterogeneous network

    Cluster-based spectrum sensing scheme in heterogeneous network by Hasan M.K., Ismail A.F., Abdalla A.-H., Ramli H.A.M., Islam S., Hashim W., Badron K.

    Published 2023
    Conference Paper
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