Search Results - (( rule extraction via algorithm ) OR ( based observational based algorithm ))

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  1. 1
    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli

    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

    Published 2018
    “…The simulation results are validated by actual data sets observed from 1971 until 2013. The results confirm the higher accuracy and reliability of the proposed method as compared with other artificial intelligence based models. …”
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  2. 2
    Design Rule Check To Validate Option Metal And Via For A Preprogrammed Layout Design

    Design Rule Check To Validate Option Metal And Via For A Preprogrammed Layout Design by Oothayer Kumar, Sureindra Kumar

    Published 2014
    “…After the layout is completed, it is very convenient to convert the option metal and via to real metal and via layer. However, the conventional verification using the design rule check (DRC) in Cadence does not include the check for option layer. …”
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  3. 3
    Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm

    Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm by Mohd Kasihmuddin, Mohd Shareduwan, Abdul Halim, Nur Shahira, Mohd Jamaludin, Siti Zulaikha, Mansor, Mohd. Asyraf, Alway, Alyaa, Zamri, Nur Ezlin, Azhar, Siti Aishah, Marsani, Muhammad Fadhil

    Published 2023
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  4. 4
    River segmentation using satellite image contextual information and Bayesian classifier

    River segmentation using satellite image contextual information and Bayesian classifier by Yousefi, Paria, Jalab, Hamid Abdullah, Ibrahim, R.W., Mohd Noor, Nurul Fazmidar, Ayub, M.N., Gani, Abdullah

    Published 2016
    “…The algorithm has two phases: creating the profile to separate river area via evaluated morphological erosion and dilation, namely, a training map; and improving the river’s image segmentation using the Bayesian rule algorithm in which two consecutive filters swipe false positive (non-water area) along the image. …”
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  5. 5
    Observer-based fault detection with fuzzy variable gains and its application to industrial servo system

    Observer-based fault detection with fuzzy variable gains and its application to industrial servo system by Eissa, Magdy Abdullah, Sali, Aduwati, Hassan, Mohd Khair, Bassiuny, A. M., Darwish, Rania R.

    Published 2020
    “…The proposed fault detection algorithm employs a fuzzy logic-based approach with the objective of finding the appropriate observer gains that could cope with the different working conditions. …”
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  6. 6
    Efficient Entropy-Based Decoding Algorithms For Higher-Order Hidden Markov Model

    Efficient Entropy-Based Decoding Algorithms For Higher-Order Hidden Markov Model by Chan, Chin Tiong

    Published 2019
    “…The extended entropy-based Viterbi algorithm is proposed for decoding HHMM. …”
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  7. 7
    Investigating the Performance of Deep Reinforcement Learning-Based MPPT Algorithm under Partial Shading Condition

    Investigating the Performance of Deep Reinforcement Learning-Based MPPT Algorithm under Partial Shading Condition by Yew W.H., Fat Chau C., Mahmood Zuhdi A.W., Syakirah Wan Abdullah W., Yew W.K., Amin N.

    Published 2024
    “…In this study, MATLAB models of a DRL-based MPPT algorithm were developed, tested, and compared to simulation based on two established MPPT algorithms-the Particle Swarm Optimization (PSO), and the Perturb and Observe (P&O). …”
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  8. 8
    Algorithm of the longest commonly consecutive word for plagiarism detection in text based document

    Algorithm of the longest commonly consecutive word for plagiarism detection in text based document by Sediyono, Agung, Ku-Mahamud, Ku Ruhana

    Published 2008
    “…Based on the experiment, the proposed algorithm outperforms the suffix tree in the length of observed paragraph below one hundred words.…”
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  9. 9
    New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions

    New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions by Mahmod Mohammad Altwallbah, Neda, Mohd Radzi, Mohd Amran, Azis, Norhafiz, Shafie, Suhaidi, Mohd Zainuri, Muhammad Ammirrul Atiqi

    Published 2022
    “…This paper proposes a new version of the perturb and observe (P&O) algorithm which is able to recognize the global maximum power point (GMPP) among the multiple maximum peaks that exist in the P-V curve under the effect of the partial shading condition (PSC). …”
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  10. 10
    Multi-modal association learning using spike-timing dependent plasticity (STDP)

    Multi-modal association learning using spike-timing dependent plasticity (STDP) by Ibrahim, Mohammed Fadhil

    Published 2014
    “…The key contribution of our study is the implementation of learning rules via STDP and firing rate in spatiotemporal neural networks based on the Izhikevich spiking model. …”
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  11. 11
    Improved intrusion detection algorithm based on TLBO and GA algorithms

    Improved intrusion detection algorithm based on TLBO and GA algorithms by Aljanabi, Mohammad, Mohd Arfian, Ismail

    Published 2021
    “…The experiments were performed on the prominent intrusion machine-learning datasets (KDDCUP’99 and CICIDS 2017), where significant enhancements were observed with the suggested NTLBO algorithm as compared to the classical TeachingLearning-Based Optimization algorithm (TLBO), NTLBO presented better results than TLBO and many existing works. …”
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  12. 12
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…The analysis and comparison of VIGA-20 is based on convergence test against the results obtained from the Simple Genetic Algorithm. …”
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  13. 13
    DC MOTOR CONTROL USING GENETIC ALGORITHM BASED PID

    DC MOTOR CONTROL USING GENETIC ALGORITHM BASED PID by SHAHRONI, NURUL ASHIKIN

    Published 2011
    “…This dissertation presents the research that had been done on the chosen topic, works done and results acquired throughout the Final Year Project for two semesters, about the DC Motor Control using Genetic Algorithm based PID. The objectives of this project are to optimize speed control of the DC motor by using Genetic Algorithm based PID, to improve the performances of the DC motor controller in term of rise time, settling time, maximum overshoot and Integral of Time Absolute Error (ITAE) and to decide the best parameters to be used for Genetic Algorithm that can optimize the performance of a DC Motor ( eg: population size, mutation rate and crossover value). …”
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    Final Year Project
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  14. 14
    Knowledge-based genetic algorithm for multidimensional data clustering

    Knowledge-based genetic algorithm for multidimensional data clustering by Purnomo, Muhammad Ridwan Andi, Saleh, Chairul, Lagaida, R.L., Hassan, Azmi

    Published 2013
    “…In this paper, a new approach of genetic algorithm called knowledge-based Genetic Algorithm (KBGA-Clustering) is proposed for multidimensional data clustering. …”
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    Proceeding Paper
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  15. 15
    IMPLEMENTATION OF GRAPH BASED PATH PLANNING ALGORITHMS FOR INDOOR NAVIGATION

    IMPLEMENTATION OF GRAPH BASED PATH PLANNING ALGORITHMS FOR INDOOR NAVIGATION by SYED KHAIZURA, SYED HUSEIN KAMIL

    Published 2018
    “…Also, to observe the advantages and disadvantages of these four path planning algorithms. …”
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    Final Year Project
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  16. 16
    Knowledge-based genetic algorithm for multidimensional data clustering

    Knowledge-based genetic algorithm for multidimensional data clustering by Purnomo, Muhammad Ridwan Andi, Saleh, Chairul, Lagaida, Reny Lituhayu, Hassan, Azmi

    Published 2014
    “…In this paper, a new approach of genetic algorithm called knowledge-based Genetic Algorithm (KBGA-Clustering) is proposed for multidimensional data clustering. …”
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  17. 17
    Power improvement of solar photovoltaic (PV) based on maximum power point tracking (MPPT) controller / Siti Munirah Ahmad Saad

    Power improvement of solar photovoltaic (PV) based on maximum power point tracking (MPPT) controller / Siti Munirah Ahmad Saad by Siti Munirah, Ahmad Saad

    Published 2018
    “…This MPPT using perturb and observe algorithm, the algorithm are general algorithm and use as a code. …”
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  18. 18
    Enhanced control algorithms for multilevel inverter-based shunt active power filter

    Enhanced control algorithms for multilevel inverter-based shunt active power filter by Hoon, Yap

    Published 2017
    “…Finally, mitigation performance of the three-level NPC inverter-based SAPF while using all the proposed control algorithms simultaneously (Set 3) is observed to be the best.…”
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  19. 19
    Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir, northern Iraq

    Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir, northern Iraq by Al‑Aqeeli, Yousif H., Lee, Teang Shui, Abd Aziz, Samsuzana

    Published 2016
    “…The first algorithm was based on the traditional simulation of reservoir operation, whilst the second algorithm (Salg) enhanced the GAOM by changing the population values of GA through a new simulation process of reservoir operation. …”
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  20. 20
    A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity

    A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity by Khameneh, Azadeh Zahedi, Ghaznavi, Mehrdad, Kilicman, Adem, Mahad, Zahari, Mardani, Abbas

    Published 2024
    “…Under this framework, different algorithms have been developed where the output relies on an exact distance calculated based on the objects’ features. …”
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