Search Results - (( intelligence system rsa algorithm ) OR ( intelligence system his algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3

    Immune Multiagent System for Network Intrusion Detection using Non-linear Classification Algorithm by Mohamed, M. E, Samir, B. B., Azween, Abdullah

    Published 2010
    “…A new non classification algorithm was developed based on the danger theory model of human immune system (HIS).The abstract model of system algorithm is inspired from HIS cell mechanism mainly, the Dendritic cell behavior and T-cell mechanisms. …”
    Get full text
    Get full text
    Get full text
    Citation Index Journal
  4. 4
  5. 5

    Quantum-Resistant Cryptography in Cyber Security by Bhargavgowda, A.B., Chitra, K.

    Published 2025
    “…Quantum algorithms including Shor’s and Grover’s are expected to compromise these systems, placing sensitive data, financial infrastructures, and national security at risk. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  6. 6
  7. 7
  8. 8

    Assignation of PSM evaluator using genetic algorithm by Yap, Suet Lee

    Published 2012
    “…The purpose of this paper is to present a design of development for Assignation of PSM Evaluator using Genetic Algorithm(APEGA)system.This is an application system that is used to assist the Faculty of Computer System and Software Engineering(FSKKP)of University Malaysia Pahang(UMP)in matching the optimum evaluators for the students in PSM presentation carnival.In the methodology part,a development model which involves with client participation is designed in order to use in the development of this project.The target user of the system is PSM coordinator who is responsible in assigning the PSM evaluator.Assignation of PSM Evaluator using Genetic Algorithm APEGA)is expected to be able in developing a well-distributed matching and overcoming the relevant constraints in an intelligent way. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  9. 9
  10. 10

    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat by Naji Maqhat, Bakeel Hussein

    Published 2016
    “…The second contribution is an efficient bandwidth allocation algorithm for A-MSDU aggregation called Adaptive Scheduling based Embedded Fuzzy (ASEF) system. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    Proposal for ontology based approach to fuzzy student model design by Muhammad Sani, Salisu, Mohd Aris, Teh Noranis

    Published 2014
    “…Intelligent tutoring system (ITS) is a software system designed using artificial intelligent techniques (comprising of Fuzzy Logic, Neural-Networks, Bayesian networks, Ontology, Genetic Algorithms and Software Agents) to provide an adaptive and personalized tutoring suitable to each individual student based on his/her profile or characteristics. …”
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13
  14. 14
  15. 15

    Neural network in handwritten recognition system: A survey by Wan Ishak, Wan Hussain, Abdul Rahman, Shuzlina

    Published 2003
    “…This paper presents a survey on the application of neural networks in handwritten recognition system. Several methodologies including feature extractions, neural network models and algorithms are highlighted.…”
    Get full text
    Get full text
    Conference or Workshop Item
  16. 16

    A proposed model for text and image encryption using different techniques by Shawkat S.A., Al-Barazanchi I.

    Published 2023
    “…In this research paper, a new intelligent system that concentrates on image and text encryption and decryption is proposed. …”
    Article
  17. 17
  18. 18

    Ontology based approach to Fuzzy student model design by Muhammad Sani, Salisu, Mohd Aris, Teh Noranis

    Published 2014
    “…An important component of these elearning systems in use today is called the intelligent tutoring system (ITS). …”
    Get full text
    Get full text
    Article
  19. 19
  20. 20