Search Results - (( java implementation level algorithm ) OR ( learning program during algorithm ))

Refine Results
  1. 1

    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING by SALLEH AL-HUMAIKANI, MOHAMMED ABDULQAWI

    Published 2021
    “…The encryption algorithms are playing an important part in the protection level for data. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Implementation of (AES) Advanced Encryption Standard algorithm in communication application by Moh, Heng Huong

    Published 2014
    “…Internet communication has become more common in this modern world recently, and one of the important algorithms used is ABS algorithm. However, most of the users have inadequate knowledge and understanding regard to this algorithm implementation in the communication field, as well as the level of security and accuracy will be questioned by the users because of the necessary to maintain the confidentiality of particular data transferred. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  3. 3

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…It does not consider the LACE algorithm implemented in huge number of server in one Cloud datacenter. …”
    Get full text
    Get full text
    Thesis
  4. 4

    A Model for Evaluation of Cryptography Algorithm on UUM Portal by Norliana, Abdul Majid

    Published 2004
    “…Level one is the development of userID and password, level two involve the insertion of the testing parameter speed coding. …”
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5

    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application by Yana Aditia, Gerhana, Nur, Lukman, Arief Fatchul, Huda, Cecep Nurul, Alam, Undang, Syaripudin, Devi, Novitasari

    Published 2020
    “…Performance Testing is used to test the performance of algorithm implementations in applications. The test results show that the Boyer Moore and Knuth Morris Pratt algorithms have an accuracy rate of 100%, and the Horspool algorithm 85.3%. …”
    Get full text
    Get full text
    Journal
  6. 6

    An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe by Yakub Kayode, Saheed, Kazeem Alagbe, Gbolagade

    Published 2017
    “…We use a parallel technique that divides RSA power process into seperate threads and employs the use of Chinese Remainder Theorem (CRT) to decrease the time required for both encryption and decryption operation. Java programming language is used to implement the algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  7. 7

    Design and Implementation of Data-at-Rest Encryption for Hadoop by Wan Nor Shuhadah, Wan Nik, Mohamad Afendee, Mohamed, Zarina, Mohamad, Siti Hanisah, Kamaruzaman

    Published 2017
    “…Therefore, the AES encryption algorithm has been implemented in HDFS to ensure the security of data stored in HDFS. …”
    Get full text
    Get full text
    Conference or Workshop Item
  8. 8

    Design and Implementation of Data-at-Rest Encryption for Hadoop by Wan Nor Shuhadah, Wan Nik, Mohamad Afendee, Mohamed, Zarina, Mohamad, Siti Hanisah, Kamaruzaman

    Published 2017
    “…Therefore, the AES encryption algorithm has been implemented in HDFS to ensure the security of data stored in HDFS. …”
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9

    A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm by Anuar, Wadi Khalid, Lee, Lai Soon, Seow, Hsin Vonn, Pickl, Stefan

    Published 2021
    “…A matheuristic approach based on a reduced two-stage Stochastic Integer Linear Programming (SILP) model is presented. The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. …”
    Get full text
    Get full text
    Article
  10. 10

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…From the reviews, it is evident that autonomous system is set to handle finite number of encountered states using finite sequences of actions. In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…The problem occurs during the transition from learning fundamental programming language concept to OOP concept. …”
    Get full text
    Get full text
    Get full text
    Article
  12. 12

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Assessment of using EZ-Prog: an easy color schematic model for programming problem solving by Siti Nordianah Hai Hom, Hasnul Hadi Ibrahim, Abrizah Ibrahim, Mudiana Mokhsin, Corrienna Abdul Talib

    Published 2020
    “…The implications of this study indicate that EZ-Prog can be used in learning and teaching algorithms, especially programming problems. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique by Lai V., Huang Y.F., Koo C.H., Ahmed A.N., Sherif M., El-Shafie A.

    Published 2024
    “…To ease water scarcity, dynamic programming, stochastic dynamic programming, and heuristic algorithms have been applied to solve problem matters related to water resources. …”
    Article
  15. 15

    Implementation of Health Monitoring System for Patients using Machine Learning Algorithms by Hariprasad, U.S., UshaSree, R.

    Published 2024
    “…We employed the Decision Tree Algorithm to train and assess a model that produced a perfection of 66.66%.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    Machine Learning in accounting: an introduction / Wan Mardyatul Miza Wan Tahir and Jaízah Abdul Jabar by Wan Tahir, Wan Mardyatul Miza, Abdul Jabar, Jaízah

    Published 2022
    “…Machine Learning is an application of Artificial Intelligence (AI) in which computers use algorithms to learn and recognise patterns. …”
    Get full text
    Get full text
    Monograph
  17. 17

    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
    Get full text
    Get full text
    Thesis
  18. 18

    A review of classification techniques for electromyography signals by Mohd Saad, Norhashimah, Omar, Siti Nashayu, Abdullah, Abdul Rahim, Shair, Ezreen Farina, H.Rashid

    Published 2023
    “…Machine Learning (ML) is an area of Artificial Intelligent (AI) with a concept that a computer program can learn and familiarize to new data without human intervention. …”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    Collision prediction based genetic network programming-reinforcement learning for mobile robot navigation in unknown dynamic environments by Findi, Ahmed H. M., Marhaban, Mohammad Hamiruce, Raja Ahmad, Raja Mohd Kamil, Hassan, Mohd Khair

    Published 2017
    “…The problem of determining a smooth and collision-free path with maximum possible speed for a Mobile Robot (MR) which is chasing a moving target in a dynamic environment is addressed in this paper. Genetic Network Programming with Reinforcement Learning (GNP-RL) has several important features over other evolutionary algorithms such as it combines offline and online learning on the one hand, and it combines diversified and intensified search on the other hand, but it was used in solving the problem of MR navigation in static environment only. …”
    Get full text
    Get full text
    Article
  20. 20

    Secure E-Voting With Blind Signature by Ibrahim, Subariah, Kamat, Maznah, Salleh, Mazleena, Abdul Aziz, Shah Rizan

    Published 2003
    “…In this system, voter’s privacy is guaranteed by using a blind signature for confidentiality and voter’s digital signature for voter’s authentication. E-Voting is implemented by employing Java socket technology and BouncyCastle cryptography provider. …”
    Get full text
    Get full text
    Conference or Workshop Item