Search Results - (( java implication based algorithm ) OR ( chain implementation models algorithm ))

Search alternatives:

Refine Results
  1. 1
    An implementation of differential evolution algorithm for a single product and single period multi-echelon supply chain network model

    An implementation of differential evolution algorithm for a single product and single period multi-echelon supply chain network model by Ayda, Emdadian, Ponnambalam, S. G., Kanagaraj, G.

    Published 2018
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Synthesis of transistor-chaining algorithm for CMOS cell layout using bipartite graph / Azizi Misnan

    Synthesis of transistor-chaining algorithm for CMOS cell layout using bipartite graph / Azizi Misnan by Misnan, Azizi

    Published 1997
    “…Searching for possible abutment between the transistor pairs are modelled as a bipartite graph. A depth - first search algorithm is used to search for optimal chaining. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Enhanced Community Detection Based On Cross Time For Higher Visibility In Supply Chain: A Six-Steps Model Framework

    Enhanced Community Detection Based On Cross Time For Higher Visibility In Supply Chain: A Six-Steps Model Framework by Abal Abas, Zuraida, Mohd Zaki, Nurul Hafizah, Asmai, Siti Azirah, Abdul Rahman, Ahmad Fadzli Nizam, Zainal Abidin, Zaheera

    Published 2019
    “…The proposed framework utilizes the Cross-Time approach for enhancing temporal community detection algorithm. The expected result shows that the Enhanced Temporal Community Detection Algorithm based on Cross Time approach for higher visibility in supply chain network is the major finding when implementing this proposed framework. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Synthesis of transistor chaining algorithm for CMOS cell layout using bipartite graph / Azizi Misnan

    Synthesis of transistor chaining algorithm for CMOS cell layout using bipartite graph / Azizi Misnan by Misnan, Azizi

    Published 1997
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain

    Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain by Sadrnia, Abdolhossein

    Published 2014
    “…Therefore, various meta-heuristic algorithms have been tried by researchers. In this research, a new Multi-Objective Logistics Network Model for Automotive Closed-Loop Supply Chain (MOACLSC) for recovering ELVs was developed. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Bayesian inference for the bivariate extreme model

    Bayesian inference for the bivariate extreme model by Mohd Amin, Nor Azrita, Adam, Mohd Bakri

    Published 2016
    “…Maximum likelihood method and a Markov chain Monte Carlo (MCMC) technique, Multiple-try Metropolis algorithm are implemented into the data analysis. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  7. 7
    Hybrid Diagnosis Model To Determine Fault Isolation For Scan Chain Failure Analysis On 22nm Fabrication Process

    Hybrid Diagnosis Model To Determine Fault Isolation For Scan Chain Failure Analysis On 22nm Fabrication Process by Victor Paulraj, Eric Paulraj

    Published 2016
    “…This proposed hybrid diagnosis algorithm ensures that Scan chain faults such as stuck-at and transition faults can be root-caused with lesser time and low complexity for both solid and marginal failures. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    A review and comparative analysis of predictive models for supply chain demand forecasting

    A review and comparative analysis of predictive models for supply chain demand forecasting by Ibrahim Ahmed Omer, Rehab, Hassan, Raini, S. Abd. Aziz, Madihah

    Published 2026
    “…This paper presents a comparative analysis of traditional forecasting models and machine learning approaches for supply chain demand prediction. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  9. 9
    An Algorithm Study for Modeling the Multi-Period Inventory Transportation Problem in Construction Industry (S/O 14585)

    An Algorithm Study for Modeling the Multi-Period Inventory Transportation Problem in Construction Industry (S/O 14585) by Yaakob, Mazri, Abdul Rahim, Mohd Kamarul Irwan

    Published 2021
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  10. 10
    An algorithm model for solving the single-period inventory transportation problems in the construction industry

    An algorithm model for solving the single-period inventory transportation problems in the construction industry by Abdul Rahim, Mohd Kamarul Irwan, Yaakob, Mazri, Ahmad Zaidi, Mohd Faizal, Nadarajan, Santhirasegaran, Zainol, Zuraidah

    Published 2020
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    An Algorithm Model for Solving the Single-Period Inventory Transportation Problems in the Construction Industry

    An Algorithm Model for Solving the Single-Period Inventory Transportation Problems in the Construction Industry by Abdul Rahim, Mohd Kamarul Irwan, Yaakob, Mazri, Ahmad Zaidi, Mohamad Faizal, S.R. Nadarajan, Santhirasegaran, Zainol, Zuraidah

    Published 2020
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection

    Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection by Ng, Shi Ya

    Published 2022
    “…The significance of the extracted output is evaluated with the topic modelling algorithm (LDA model algorithm) for the purpose of predictive supply risk. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
    Save to List
    Saved in:
  13. 13
    Slice sampling technique in Bayesian extreme of gold price modelling

    Slice sampling technique in Bayesian extreme of gold price modelling by Rostami, Mohammad, Adam, Mohd Bakri, Ibrahim, Noor Akma, Yahya, Mohamed Hisham

    Published 2013
    “…In this paper, a simulation study of Bayesian extreme values by using Markov Chain Monte Carlo via slice sampling algorithm is implemented. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  14. 14
    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
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses

    Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses by Sadrnia, Abdolhossein, Ismail, Napsiah, Mohd Ariffin, Mohd Khairol Anuar, Zulkifli, Norzima, Boyer, Omid

    Published 2014
    “…With regards to the complexity of the reverse logistics network, traditional method cannot be implemented for solving them. Thus, an evolutionary algorithm based genetic algorithm (GA) is applied as a solution methodology to solve mixed integer linear programming model and find the optimum solution. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Extreme air pollutant data analysis using classical and Bayesian approaches

    Extreme air pollutant data analysis using classical and Bayesian approaches by Mohd Amin, Nor Azrita

    Published 2015
    “…Alternatively, Bayesian framework is implemented to allow priors or additional information concerning the data into the analysis which expectantly improve the model fit. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Analyses of prior selections for Gumbel distribution

    Analyses of prior selections for Gumbel distribution by Rostami, Mohammad, Adam, Mohd Bakri

    Published 2013
    “…The usage of Markov Chain Monte Carlo via Metropolis-Hasting algorithm is implemented. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi

    Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi by Hayawi, Mustafa Jabbar

    Published 2015
    “…It is performed using neural network Auto Regressive with exogenous (NNARX) model based on the input/ output experimental data. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Prediction of blue water footprint at Semambu and Panching water treatment plants

    Prediction of blue water footprint at Semambu and Panching water treatment plants by Muhammad Syazwan, Mat Akhir

    Published 2019
    “…Then, the total WFblue will be modelled and undergo a series of training to predict the trend by using 2 algorithms which is Artificial Neural Network (ANN) and Random Forest (RF). …”
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  20. 20
    Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy

    Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy by Mohamed Sultan, Al Amin, Mativenga, Paul Tarisai

    Published 2019
    “…A new approach that combined mathematical modelling of supply chain complexity, centre-of-gravity method and K-Means algorithm was developed to determine the optimum location of third parties that could process waste for a number of supply chain providers. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: