Showing 61 - 80 results of 107 for search '(( relevant also algorithm ) OR ((( implement finding algorithm ) OR ( level coding algorithm ))))', query time: 0.11s Refine Results
  1. 61

    Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations by Shameem A. Puthiya Parambath (14150997)

    Published 2022
    “…CIP can be used in conjunction with relevance ranking metrics like NDCG and MAP to measure the effectiveness of the cold-start recommendation algorithm.…”
  2. 62

    Assessment of static pile design methods and non-linear analysis of pile driving by Abou-Jaoude, Grace G.

    Published 2006
    “…Scientific advances in pile analysis have been made in recent decades but their implementation in the estimation of axial capacity has been slow. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  3. 63
  4. 64

    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model by Ramesh Sundar (19326046)

    Published 2024
    “…The performance level improvements are practically summarized in both the transmission and reception entities with the help of the proposed hybrid network architecture and the associated Dual Deep Network algorithm. …”
  5. 65

    An efficient method for the open-shop scheduling problem using simulated annealing by Harmanani, Haidar M.

    Published 2016
    “…Experimental results show that the algorithm performs well on the benchmarks. The algorithm was able to find an optimum solution in many cases.…”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  6. 66
  7. 67

    A Novel Centrality-Based Approach for Link Prediction by El Khoury, Elissa Lichaa

    Published 2025
    “…Namely, we consider weighted betweenness, closeness and Katz centralities, in addition to the Resource Allocation and Adamic-Adar indices. We also use a genetic algorithm to optimize the weights of these metrics, reflecting their contributions to link prediction. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  8. 68

    Performance Prediction Using Classification by MOOLIYIL, GITA

    Published 2019
    “…Principal component analysis and feature selection by weights using information gain ratio, Gini index, correlation and PCA is used to determine the relevant predictors of the datasets used. This study also addresses gaps in the current available literature on performance prediction, such as data imbalance and the use of Ensemble models. …”
    Get full text
  9. 69

    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …”
  10. 70

    Blockchain-Based Decentralized Architecture for Software Version Control by Muhammad Hammad (17541570)

    Published 2023
    “…The proof of authority (PoA) consensus algorithm will be used to approve the developer communicating modifications to the private blockchain network; the authority will only provide permission and will not be able to add, edit, or delete code files. …”
  11. 71

    New primitives to AOP weaving capabilities for security hardening concerns by Mourad, Azzam

    Published 2007
    “…They allow to analyze a program’s call graph in order to determine how to change function signatures for the passing of parameters associated with a given security hardening. We find this feature necessary in order to implement security hardening solutions that are infeasible or impractical using the current AOP proposals. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  12. 72

    The Effects of Data Mining on Small Businesses in Dubai by AlMutawa, Rasha

    Published 2011
    “…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …”
    Get full text
  13. 73

    A simulated annealing-based optimal controller for a three phase induction motor by Mantawy, A.H.

    Published 2002
    “…An adaptive cooling schedule and a new method for variables discretization are implemented to enhance the speed and convergence of the original simulated annealing algorithm (SAA). …”
    Get full text
    Get full text
    article
  14. 74
  15. 75
  16. 76

    Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE by SHWEDEH, FATEN

    Published 2018
    “…We examined different feature selection methods and classification algorithms to find the best prediction model with the highest accuracy. …”
    Get full text
  17. 77

    Role of authentication factors in Fin-tech mobile transaction security by Habib Ullah Khan (12024579)

    Published 2023
    “…The QR code and multifactor authentication are key terms that increased security by 46%. In addition, this also ensures the user is legitimate using advanced technologies and algorithms to predict and discover transaction risks and discourage fraudsters from trying.…”
  18. 78

    Cyberbullying Detection in Arabic Text using Deep Learning by ALBAYARI, REEM RAMADAN SA’ID

    Published 2023
    “…Other results, related implications, and limitations, along with future research are also clarified and discussed.…”
    Get full text
  19. 79

    Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

    Published 2022
    “…This essentially makes it easy to detect fraud and thus prevents it from happening. The findings from this study will help implement a system that will significantly reduce fraud in the procurement sector. …”
    Get full text
  20. 80

    Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test by Hasan T. Abbas (8115014)

    Published 2019
    “…Furthermore, personal information such as age, ethnicity and body-mass index was also a part of the data-set. Using 11 OGTT measurements, we have deduced 61 features, which are then assigned a rank and the top ten features are shortlisted using minimum redundancy maximum relevance feature selection algorithm. …”