Search Results - (( normal distribution rate algorithm ) OR ( parameters variation bees algorithm ))

Refine Results
  1. 1

    Multiobjective optimization using weighted sum Artificial Bee Colony algorithm for Load Frequency Control by Naidu, K., Mokhlis, Hazlie, Bakar, Ab Halim Abu

    Published 2014
    “…Furthermore, the proposed algorithm is robust enough to operate under different operating conditions and system parameter variations.…”
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    Optimal variational mode decomposition and integrated extreme learning machine for network traffic prediction by Jinmei Shi, Yu-Beng Leau, Kun Li, Huandong Chen

    Published 2021
    “…A Scalable Artificial Bee Colony (SABC) algorithm which has fewer adjustable parameters and can thus guarantee the accuracy and stability of the prediction mechanism is also proposed. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Improved performance in distributed estimation by convex combination of DNSAF and DNLMS algorithms by Ahmad Pouradabi, Amir Rastegarnia, Azam Khalili, Ali Farzamnia

    Published 2022
    “…Diffusion normalized least mean square (DNLMS) algorithm has low misadjustment error, but it is slow in convergence. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceedings
  5. 5

    Identification of non-equilibrium growth for bitcoin exchange rate: mathematical derivation method in Islamic financial engineering by Rosbi, Sofian, Abu Bakar, Nashirah

    Published 2017
    “…Graphical method indicates the first difference of data distribution is a non-normal distribution. Then, Shapiro-Wilk statistical test confirmed that first difference of data distribution deviate from normal distribution. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

    Published 2005
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
    Get full text
    Monograph
  7. 7

    Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop by Ayop, Nor Azura

    Published 2016
    “…Log likelihood estimation technique is used to fit the best 2-parameter CDF compared to Weibull, Normal and Rician distribution model. The percentage level 5% under original bandwidth used is developed on policing and shaping algorithms to control bandwidth used. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar by Md. Rasel, Sarkar

    Published 2019
    “…There is no particular study which focuses on the optimization and prediction of blades parameters using natural inspired algorithms namely Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) and Adaptive Neuro-fuzzy Interface System (ANFIS) respectively for optimal power coefficient (�436�45D ). …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10

    Early detection and mitigation of DDoS attacks in software defined networks by Al-Saadi, Mustafa Yahya Zakariya

    Published 2018
    “…Then the algorithm was tested with attack on one host and a sub net of six hosts with attack rates of25%, 50% and 75% for the first case and 50%, 75% attack rate for the subnet case. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Mitigating Unbalanced And Overlapped Problems Of Large Network Intrusion Data Using Multiplelevel Detection Techniques by Ho, Yan Bing

    Published 2022
    “…These problems have caused a low detection rate for intrusions that are the minority in data sets because learning algorithms favour the majority class (normal traffic). …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  12. 12

    Tasks Distribution In Driver Scheduling Using Dynamic Set Of Bandwidth In Harmony Search Algorithm With 2-Opt by Shaffiei, Zatul Alwani

    Published 2021
    “…Therefore, a tasks distribution in driver scheduling using dynamic set of bandwidth in harmony search algorithm with 2-opt (SBHS2-opt) was proposed in this research. …”
    Get full text
    Get full text
    Get full text
    Thesis
  13. 13

    A Comparative Study of Z-Score and Min-Max Normalization for Rainfall Classification in Pekanbaru by Rahmad Ramadhan, Laska, Anne Mudya, Yolanda

    Published 2024
    “…The objective is to compare various data normalization techniques, including Min-Max Normalization and Z-Score Normalization. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Lumped parameter modelling in femoral popliteal artery for normal and severe conditions by Kaha, Asrizan, Taib, Ishkrizat, Paisal, Muhammad Sufyan Amir, Tajul Arifin, Ahmad Mubarak, Ismail, Al Emran, Asmuin, Norzelawati, Abdul Haq, Reazul Haq, Chatpun, Surapong, Yamamoto, Takahisa, Osman, Kahar

    Published 2018
    “…In conclusion, the obtained waveform propagation from the linear analysis of the lumped parameter modelling shows that the periodic mean pressures and flow rate distributions in large arteries are highly depend on the resistances and the compliances. …”
    Get full text
    Get full text
    Article
  15. 15

    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

    Published 2011
    “…Although the performance evaluations show rate-penalty but it is acceptable considering the simplicity of the proposed algorithm. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing by Yahaya, Bakri

    Published 2016
    “…Results from each of the variables and algorithms had been compared and statistical methods such as the t-test and normality test were used to verify the results. …”
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17

    Fire severity and post-fire generation using : Landsat [NDVI], [NBR] and [SAVI] / Nur Izzaty Dali by Dali, Nur Izzaty

    Published 2018
    “…Pre-fire and post-fire of Landsat 7 ETM+ images were obtained to identify the fire severity using Normalized Burn Ratio algorithms. The objectives of this study are (1) to produce Normalized Difference Vegetation Index (NDVI), Normalized Burn Ratio (NBR), and Soil Adjusted Vegetation Index (SAVI) and (2) to determine the changes of forest distribution based on NDVI, NBR and SAVI changes. …”
    Get full text
    Get full text
    Thesis
  18. 18

    Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach by Akorede, Mudathir Funsho

    Published 2011
    “…This model takes into account, the peculiarities of radial distribution networks, such as high R/X (resistance/reactance) ratio, voltage dependency and composite nature of loads.To solve the proposed models, Genetic algorithm (GA) is used as an optimisation technique. …”
    Get full text
    Get full text
    Thesis
  19. 19

    A new variant of black hole algorithm based on multi population and levy flight for clustering problem by Haneen Abdul Wahab, Abdul Raheem

    Published 2020
    “…Furthermore, the results revealed a high convergence rate, upon which the algorithm’s performance was subjected to data clustering problems and investigated using six real datasets. …”
    Get full text
    Get full text
    Thesis
  20. 20