Search Results - (( using combination system algorithm ) OR ( evolution optimization mining algorithm ))

Refine Results
  1. 1

    Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

    Published 2018
    “…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

    Published 2024
    “…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
    Get full text
    Get full text
    Thesis
  3. 3

    Logic mining method via hybrid discrete hopfield neural network by Guo, Yueling, Mohd Kasihmuddin, Mohd Shareduwan, Zamri, Nur Ezlin, Li, Jia, Romli, Nurul Atiqah, Mansor, Mohd Asyraf, Ruzai, Wan Nur Aqlili

    Published 2025
    “…The first contribution involves the incorporation of a Hybrid Differential Evolution Algorithm to accelerate the optimization of synaptic weights during the training phase. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

    Published 2019
    “…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
    Get full text
    Get full text
    Thesis
  5. 5

    Seed disperser ant algorithm for optimization / Chang Wen Liang by Chang , Wen Liang

    Published 2018
    “…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
    Get full text
    Get full text
    Get full text
    Thesis
  6. 6

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
    Get full text
    Get full text
    Article
  7. 7

    Descriptive analysis of patient diet trends at Pantai Hospital Ayer Keroh by Muhidin, Nurain Fatiha

    Published 2025
    “…Without effective data analysis, it is challenging to track dietary trends, assess patient preferences, and optimize meal preparation. To address this problem, this project focuses on enhancing various aspects of healthcare dietary operations by employing CRISP-DM as the methodology to structure the data mining process. …”
    Get full text
    Get full text
    Student Project
  8. 8

    Predictive-reactive job shop scheduling for flexible production systems with the combination of optimization and simulation based algorithm by Abdul Rahman, Azrul Azwan, Joe Yee, Tan, A Rahman, Muhamad Arfauz, Salleh, Mohd Rizal, Bilge, Pinar

    Published 2020
    “…The predictive part determines the feasible schedule to be used for a flow shop which is generated using a combination of rule-based simulation and optimization: first, using the optimization algorithm to compute a rough plan, followed by using a rule based simulation system to locally fine tune the plan to obtain the final schedule. …”
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation by Abu, Ahmad Zaidee

    Published 2008
    “…The proposed approach uses a frequency domain combinational framework of coefficients scrambling with Key Scheduling Algorithm based (KSA-based) permutation. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Enhancement of Space-Time Receiver Structure with Multiuser Detection for Wideband CDMA Communication Systems by Subramaniam, Jeevan Rao

    Published 2006
    “…Additionally, two different linear multiuser detection techniques, Decorrelator and linear Minimum Mean Square Error (MMSE) strategies are used in conjunction with the combined receiver structure.The proposed combined Space Time Multiuser Detector which is suitable for WCDMA systems is shown to provide significant gain in transmission performance and system capacity. …”
    Get full text
    Get full text
    Thesis
  11. 11

    A new dynamic code assignment algorithm for joint CDMA and SDMA system by Odeh, Nidhal A. S., Khatun, Sabira, Ismail, Alyani, Mohd Ali, Borhanuddin

    Published 2008
    “…This article describes an optimal dynamic code assignment algorithm, which can be used to maximize the total number of users in combined C-SDMA system with minimum required quality of service (QoS) and limited number of codes. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  12. 12

    An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm by Hong, Mee Song

    Published 2016
    “…This research presents implementation of FPA optimization in solving Combined Economic Emission Dispatch (CEED) problems in power system which minimize total generation cost by minimizing fuel cost and emission. …”
    Get full text
    Get full text
    Thesis
  13. 13
  14. 14

    On the spectra efficiency of low-complexity and resolution hybrid precoding and combining transceivers for mmWave MIMO systems by Uwaechia, Anthony Ngozichukwuka, Mahyuddin, Nor Muzlifah, Mohd Fadzil, Ain, Abdul) Latiff, Nurul Muazzah, Za'bah, Nor Farahidah

    Published 2019
    “…While energy-efficient hybrid analog/digital precoders and combiners designs can subdue the high pathloss inherent in mmWave channels, they assume the use of infinite- (or high-) resolution phase shifters to realize the analog precoder and combiner pair which results in high hardware cost and power consumption. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Feature fusion using a modified genetic algorithm for face and signature recognition system by Suryanti, Awang

    Published 2015
    “…To overcome the issue of incompatible features to be combined, Wrapper Genetic Algorithm (GA) was implemented as the feature selection algorithm due to its ability to evaluate the features irrespective of which domain by masking the features with bit number. …”
    Get full text
    Get full text
    Thesis
  16. 16

    To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi by Mohd Supandi, Mohd Nazril Hafez

    Published 2000
    “…In which it involves the use of two combinations simultaneously such as the pair combination of 1234 as primary combination and 2341 as the secondary. …”
    Get full text
    Get full text
    Thesis
  17. 17

    Sphere detection analysis performance combined with the LDPC decoding / Xiao Peng and Satoshi Goto by Xiao, Peng, Satoshi, Goto

    Published 2011
    “…Analysis shows that the combination certainly improves the performance of the receiver; moreover the layered LDPC decoding has better performance in this combination system.…”
    Get full text
    Get full text
    Get full text
    Article
  18. 18

    Optimization of biochemical systems production using combination of newton method and particle swarm optimization by Mohd Arfian, Ismail, Mezhuyev, Vitaliy, Irfan, Darmawan, Shahreen, Kasim, Mohd Saberi, Mohamad, Ashraf Osman, Ibrahim

    Published 2019
    “…In the proposed method, the Newton method was used to deal with nonlinear equations system, while the PSO algorithm was utilized to fine-tune the variables in nonlinear equations system. …”
    Get full text
    Get full text
    Get full text
    Article
  19. 19
  20. 20

    Phylogenetic tree classification system using machine learning algorithm by Tan, Jia Kae

    Published 2015
    “…A study is conducted to develop an automated phylogenetic tree image classification system by using machine learning algorithm. This study adopted supervised machine learning algorithm which is the Support Vector Machine (SVM) for classification. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD