Search Results - (( developing constructing machine algorithm ) OR ( java implication force algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3

    Software project estimation with machine learning by Zakaria, Noor Azura, Ismail, Amelia Ritahani, Yakath Ali, Afrujaan, Mohd Khalid, Nur Hidayah, Zainal Abidin, Nadzurah

    Published 2021
    “…The objective of this research is to use several algorithms of machine learning to estimate the effort of software project development. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Makespan algorithms and heuristic for internet-based collaborative manufacturing process using bottleneck approach by Bareduan, Sallehahmad, Hasan, Sulaiman

    Published 2010
    “…It was shown that using bottleneck-based analysis, effective makespan algorithms and constructive heuristic can be developed to solve for near-optimal scheduling sequence. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems by Nazif, Habibeh

    Published 2010
    “…This thesis focuses on the development of a new stream of crossover within genetic algorithms, called Optimised Crossover Genetic Algorithm (OCGA) for solving combinatorial optimisation problems, which takes into account the objective function in finding the best ofspring solution among an exponentially large number of potential ofspring. …”
    Get full text
    Get full text
    Thesis
  6. 6

    Machine learning approach of predicting Airline flight delay using Naïve Bayes Algorithm / Ahmad Adib Baihaqi Shukri ... [et al.] by Shukri, Ahmad Adib Baihaqi, Mohamed Yusoff, Syarifah Adilah, Warris, Saiful Nizam, Abu Bakar, Mohd Saifulnizam, Kadar, Rozita

    Published 2024
    “…This study aims to study the Naïve Bayes algorithm for flight delay prediction. The objective is to develop a reliable flight delay prediction model using the Naïve Bayes algorithm and evaluate its performance. …”
    Get full text
    Get full text
    Get full text
    Article
  7. 7

    Ant colony optimization (ACO) algorithm for CNC route problem by Wan Nur Farhanah , Wan Zakaria

    Published 2012
    “…They are designed specially for each circuit and makes constructive very easy without any wires. The holes on the PCB had been drilled by using Computer Numerical Controlled (CNC) machines. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  8. 8

    Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach by Bareduan, Salleh Ahmad, Hasan, Sulaiman

    Published 2012
    “…Using these correction factors, a constructive heuristic was developed to solve for near-optimal scheduling sequence. …”
    Get full text
    Get full text
    Article
  9. 9

    Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method by Delgoshaei, Aidin

    Published 2016
    “…In this regard, 4 mathematical programming models are developed for forming cells and scheduling the materials on appropriate machines while the system costs are considered uncertain. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed by Aneesa Ali, Ali Saeed

    Published 2017
    “…The whole constraint analyzer and the fitness function were combined with four SBTs (genetic algorithm, evolutionary algorithm, simulating annealing, and quantum genetic algorithm). …”
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…On the Construction phase, the development of the prototype has been started. …”
    Get full text
    Get full text
    Thesis
  13. 13

    A Conceptual Framework to Aid Attribute Selection in Machine Learning Student Performance Prediction Models by Khan I., Ahmad A.R., Jabeur N., Mahdi M.N.

    Published 2023
    “…Machine learning algorithm's performance demotes with using the entire attributes and thus a vigilant selection of predicting attributes boosts the performance of the produced model. …”
    Article
  14. 14

    Development of axis movement controller for 2-axis configuration machine control by Haidil Hazha, Husaini

    Published 2007
    “…This project also will present the expected performance of the 2-axis motor, construction of hardware and software development to gather the result. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  15. 15
  16. 16

    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
    Get full text
    Get full text
    Thesis
  17. 17
  18. 18
  19. 19

    ECG encryption enhancement with multi-layers of AES and DNA computing by Kh-Madhloom, Jamal

    Published 2023
    “…In order to more effectively incorporate both present technology and developing technology, models of DNA cryptography need to be developed. …”
    Get full text
    Get full text
    Get full text
    Thesis
  20. 20

    Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition by Yahya, Anwar Ali, Mahmod, Ramlan, Ramli, Abd Rahman

    Published 2010
    “…The model is, essentially, a dynamic Bayesian network induced from manually annotated dialogue corpus via dynamic Bayesian machine learning algorithms. Furthermore, the dynamic Bayesian network's random variables are constituted from sets of lexical cues selected automatically by means of a variable length genetic algorithm, developed specifically for this purpose. …”
    Get full text
    Get full text
    Article