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  1. 1
    Search algorithms for path planning problems in harsh wireless sensor network environment

    Search algorithms for path planning problems in harsh wireless sensor network environment by Hong, Siaw Swin

    Published 2017
    “…Each algorithm solves its respective problem with Enhanced D* solving long initial delay in dynamic environment, NBN solves harsh conditions with limited computational power, and FWN optimized the result of TSP path planning problem with minimal computational effort. …”
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  2. 2
    Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim

    Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim by Matakim, Aryani Rima

    Published 2025
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  3. 3
    Comparison between newton divided-difference interpolation, lagrange interpolation and least square method for solving nonlinear equation / Nur Aniqah Fazirah Zekeri

    Comparison between newton divided-difference interpolation, lagrange interpolation and least square method for solving nonlinear equation / Nur Aniqah Fazirah Zekeri by Zekeri, Nur Aniqah Fazirah

    Published 2020
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  4. 4
    Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi

    Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi by Seyedmehdi, Mirmohammadsadeghi

    Published 2015
    “…Therefore, multi-point simulated annealing (M-SA), memetic algorithm (MA) and tabu search (TS) algorithms are applied to solve the TTRPSD. …”
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  5. 5
    Efficient radio resource management algorithms for downlink long term evolution networks

    Efficient radio resource management algorithms for downlink long term evolution networks by Mamman, Maharazu

    Published 2018
    “…Therefore, the proposed algorithm minimizes the average delay and improves the network performance. …”
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  6. 6
    Handover algorithm with joint processing technique based on coordinated multipoint (COMP) transmission and reception in LTE-advanced heterogeneous network / Muhammad Aiman Zainali

    Handover algorithm with joint processing technique based on coordinated multipoint (COMP) transmission and reception in LTE-advanced heterogeneous network / Muhammad Aiman Zainali by Zainali, Muhammad Aiman

    Published 2020
    “…Therefore, when the concept of JP in CoMP allowing multiple data transmissions for each UE at any time instant comes in LTE-A system, it becomes conflicted with the concept of standard hard handover mechanism. To solve this problem, it is necessary to have a proper handover algorithm. …”
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  7. 7
    Enhancing DSR protocol performance in mobile ad hoc network using ACK reply

    Enhancing DSR protocol performance in mobile ad hoc network using ACK reply by Gani, Abdullah, Han, Q., Anuar, N.B., Zakaria, O.

    Published 2009
    “…MDSR deploys the idea of TCP-BuS to solve unnecessary resending of lost data packets. …”
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  8. 8
    Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller

    Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller by Zaridah, Mat Zain

    Published 2010
    “…The design of the APFLC is initially started with the designation of Basic FLC with two input and single output system. …”
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  9. 9
    Local search approaches for patient scheduling problem in parallel operating theatre

    Local search approaches for patient scheduling problem in parallel operating theatre by Alimin, Nur Neesha

    Published 2020
    “…In the first phase, pre-processing stage, combination of pre-processing stage with low-level heuristic and genetic algorithm are used.The different types of LS are applied in the second phase of scheduling. …”
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  10. 10
    Development of a heuristic procedure for balancing mixed-model parallel assembly line type II

    Development of a heuristic procedure for balancing mixed-model parallel assembly line type II by Esmaeilian, Gholamreza

    Published 2010
    “…As a result, the mixed-model products suffer from delays, limitations in the line workflow and longer lines. …”
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