Search Results - (( developing state affect algorithm ) OR ( java implication based algorithm ))

Search alternatives:

Refine Results
  1. 1
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Household overspending model amongst B40, M40 and T20 using classification algorithm

    Household overspending model amongst B40, M40 and T20 using classification algorithm by Zulaiha Ali, Othman, Azuraliza, Abu Bakar, Nor Samsiah, Sani, Jamaludin, Sallim

    Published 2020
    “…The model development employs five machine learning algorithms namely decision tree, Naive Bayes, Neural network, Support Vector Machines, Nearest Neighbour. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Focal and non-focal epilepsy localization: a review

    Focal and non-focal epilepsy localization: a review by Hussein, Ahmed Faeq, N., Arunkumar, Gomes, Gorakanage Arosha Chandima, Alzubaidi, Abbas K., Habash, Qais Ahmed, Granados, Luz Santamaria, Moreno, Juan Francisco Mendoza, Gonzalez, Gustavo Ramirez

    Published 2018
    “…The existing algorithms were compared and the need for implementing a practical and reliable new algorithm is highlighted. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Comparison of developed FLC and P&O MPPT algorithms for improving PV system performance at variable irradiance conditions

    Comparison of developed FLC and P&O MPPT algorithms for improving PV system performance at variable irradiance conditions by Alhamdawee, Ehsan Mohsin, Mailah, Nashiren Farzilah, Mohd Radzi, Mohd Amran, Shafie, Suhaidi, Hajighorbani , Shahrooz, Turki, Ahmed Qasim

    Published 2016
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Machine learning: tasks, modern day applications and challenges

    Machine learning: tasks, modern day applications and challenges by Aljuaid, Lamyaa Zaed, Koh, Tieng Wei, Sharif, Khaironi Yatim

    Published 2019
    “…Firstly, we reviewed current state-of-the-art research and development work in the area of machine learning. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Investigation And Development Of Forensic Mean-Based Adaptive Background Correction Algorithm (Mabca) For Visual Enhancement Of Bloodstains, Seminal Stains And Fingerprints

    Investigation And Development Of Forensic Mean-Based Adaptive Background Correction Algorithm (Mabca) For Visual Enhancement Of Bloodstains, Seminal Stains And Fingerprints by Lee, Wee Chuen

    Published 2017
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement

    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement by Abdul Rahman, Nor Farahaida

    Published 2016
    “…In previous work, an Adaptive Linear Neuron (ADALINE) based extraction algorithm has been developed to generate reference currents. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
    Save to List
    Saved in:
  9. 9
    Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm

    Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm by Alhamdawee, Ehsan Mohsin Obaid

    Published 2016
    “…The steady state test and dynamic tests were used to test the performance of the algorithms. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    Protovoltaic boost DC/DC converter with adaptive perturb and observe-fuzzy maximum power point tracking algorithm

    Protovoltaic boost DC/DC converter with adaptive perturb and observe-fuzzy maximum power point tracking algorithm by Mohd Zainuri, Muhammad Ammirrul Atiqi

    Published 2013
    “…For comparison purpose,conventional perturb and observe, and fuzzy logic control algorithms were modelled too. In hardware development, the prototype was developed and tested to verify simulation work. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy

    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

    Published 2019
    “…The proposed algorithm is compared with the state-of-the-art feature selection algorithms using three different datasets. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    An application of backtracking search algorithm in designing power system stabilizers for large multi-machine system

    An application of backtracking search algorithm in designing power system stabilizers for large multi-machine system by Islam N.N., Hannan M.A., Shareef H., Mohamed A.

    Published 2023
    Article
    Save to List
    Saved in:
  13. 13
    Development of dynamic programming algorithm for maintenance scheduling problem

    Development of dynamic programming algorithm for maintenance scheduling problem by Zafira Adlia, Mohd Fauzi

    Published 2020
    “…Using the dynamic programming algorithm developed, the model was also able to recalculate alternative schedules by replacing unavailable teams with other teams to avoid delays. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Soft Set Decision/Forecasting System Based on Hybrid Parameter Reduction Algorithm

    Soft Set Decision/Forecasting System Based on Hybrid Parameter Reduction Algorithm by Mohammed, Mohammed Adam Taheir, Sadiq, Ali Safa, Ruzaini, Abdullah Arshah, Ernawan, Ferda, Mirjalili, Seyedali

    Published 2017
    “…The contributions of this study are mainly focused on minimizing choices costs through adjusting the original classifications by decision partition order and enhancing the probability of search domain by a developed HPC algorithm. The results show that the decision partition order technique performs better in parameter reduction up to 50%, while other algorithms could not obtain any reduction in some scenarios. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir

    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir by Amir, Nur Hazirah

    Published 2019
    “…Mood is a psychological state that responsible for emotional feeling in human mind and it deeply affected by premenstrual symptoms (PMS). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction

    Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction by Abd Razak, Siti Safwana

    Published 2019
    “…Comparison of this framework continue in some of the state-of-the-arts algorithm in the literature and the results is outperformed based on the proposed algorithm experimental result.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama

    Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama by Naoki, Masuyama

    Published 2016
    “…In regards to the functional improvements, the emotion affected association model is developed in an interactive robot system based on the relationship between memory and emotion from the viewpoint of psychology and neuroscience, which is called the mood-congruency effect. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Semiparametric inference procedure for the accelarated failure time model with interval-censored data

    Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

    Published 2019
    “…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Development of Dynamic Programming Algorithm for Maintenance Scheduling Problem: A Conceptual Paper

    Development of Dynamic Programming Algorithm for Maintenance Scheduling Problem: A Conceptual Paper by Z. A. M., Fauzi, Muhamad Arifpin, Mansor

    Published 2018
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    The design for antrophomorphic sociable agent interaction through emotion detection

    The design for antrophomorphic sociable agent interaction through emotion detection by Ab. Aziz, Azizi, Siraj, Fadzilah, Sainin, Mohd Shamrie, Mohd Hassin, Mohd Hafiz

    Published 2003
    “…This research works addresses on faces features through simulation of anthropomorphic agent.A salience feature of this definition of emotion is described in terms of goals and roles.Therefore, it provides a basic framework of goal-driven processing, which is to investigate computational models of emotion.The main goal of this research is to provide a natural interaction scheme where the affective interaction emotive state of the user can be identified.One aspect of developing such a capability is the ability of the system to recognize emotional state using intelligent supervised learning algorithms, personality of the user and respond appropriately.An anthropomorphic agent will serve to express the reaction through affective feedback given. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:

Search Tools: