Search Results - (( developing values drops algorithm ) OR ( java optimization path algorithm ))

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  1. 1

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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    Thesis
  2. 2

    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

    Published 2019
    “…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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    Thesis
  3. 3

    Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

    Published 2019
    “…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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    Article
  4. 4

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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    Final Year Project / Dissertation / Thesis
  5. 5

    On determination of input parameters of the mass transfer process by fuzzy approach. by Maan, Normah, Talib, Jamalludin, Arshad, Khairil Annuar, Ahmad, Tahir

    Published 2005
    “…The algorithm is also capable of determining the optimal values of the input parameters. …”
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    Article
  6. 6

    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…Such change may lead to an extreme performance degradation, especially when the routing algorithm relies on fixed threshold values in the dropping decision. …”
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  7. 7

    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS by AYOUB MOHAMMED, MOHAMMED ABDALLA

    Published 2011
    “…The ANN model has been developed using resilient back-propagation learning algorithm. …”
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    Thesis
  8. 8

    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

    Published 2014
    “…This research attempts to develop a new control algorithm to regulate the blood glucose level (BGL) for Type 1 Diabetes. …”
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    Monograph
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    Quranic Cross-Lingual Information Retrieval Optimization using Hexadecimal Conversion Algorithm by Mazlan,M.M., Ismail,R., Norita Md. Norwawi, Fauziah Abdul Wahid

    Published 2024
    “…This article highlights the proposed Quranic Cross-Lingual Information Retrieval (Q-CLIR) model and Hexadecimal Conversion Algorithm. Currently, QuHex is still undergoing a continuous prototyping development and will implement the 2nd phase in creating interpreter for any word in a hex value. …”
    Article
  12. 12

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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    Thesis
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    Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field by Toh, Cheng Chuan

    Published 2018
    “…Theoretically,β and α is parameters that used to vary the NMF2D algorithm in order to yield high SDR value. Experimentally,for the simulation results,the highest SDR value for β-divergence NMF2D is SDR = 16.69dB at β = 0.8 and n = 100.For α-divergence NMF2D,the highest SDR value is SDR = 17.85dB at α = 1.5 and n = 100.Additional of sparseness constraints toward β-divergence NMF2D and α-divergence NMF2D lead to even higher SDR value.There are SDR = 17.06dB for sparse β-divergence NMF2D at λ = 2.5 and SDR = 17.99dB for sparse α-divergence NMF2D at λ = 5. …”
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    Thesis
  15. 15

    Predictive modelling of student academic performance using machine learning approaches : a case study in universiti islam pahang sultan ahmad shah by Nurul Habibah, Abdul Rahman

    Published 2024
    “…With a huge number of students drop out, the higher education institution’s reputation might be dropped. …”
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  16. 16

    Monte Carlo simulation of micelle formation in mixed surfactants and palm-kernel oil esters-based nanoemulsion by Yahya, Ruzanna

    Published 2014
    “…Here, the stochastic numerical methods or Monte Carlo (MC) was suggested to develop new configurations of a system of interest. …”
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  17. 17

    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

    Published 2023
    “…At the same time, the HHO and OBL-HHO algorithms resulted in lower levels of periodic reliability, with values of 13.16% and 9.21% respectively. …”
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    Final Year Project / Dissertation / Thesis
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    The development of Muscle Fatigue Prediction model from muscle torque and contraction data / Keshasni Earichappan by Keshasni , Earichappan

    Published 2023
    “…Results show significant drop in MC sensor voltage and torque value concurrently with time, with MC-duration having better correlation with torque (r is equal to 0.99465) compared to whole MC signal vs torque (r is equal to 0.32807). …”
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    Thesis
  19. 19

    Tunable Sub-Nanosecond Ultra Wideband Narrow Pulse Generator For Microwave Imaging by Zalzala, Ali Mahdi Jaafar

    Published 2016
    “…Compared to VNA images, image entropy values dropped from 63.66 to 43.23 for clay rod, and from 143.77 to 46.50 for an Aluminum rod. …”
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    Thesis
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