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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Hassan Muwafaq Gheni
Al-Mustaqbal University college
Computer Science & IT Electrical & Electronics Engineering

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A missing data imputation method based on salp swarm algorithm for diabetes disease Geehan Sabah Hassan; Noora Jamal Ali; Asma Khazaal Abdulsahib; Farah Jasim Mohammed; Hassan Muwafaq Gheni
Bulletin of Electrical Engineering and Informatics Vol 12, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i3.4528

Abstract

Most of the medical datasets suffer from missing data, due to the expense of some tests or human faults while recording these tests. This issue affects the performance of the machine learning models because the values of some features will be missing. Therefore, there is a need for a specific type of methods for imputing these missing data. In this research, the salp swarm algorithm (SSA) is used for generating and imputing the missing values in the pain in my ass (also known Pima) Indian diabetes disease (PIDD) dataset, the proposed algorithm is called (ISSA). The obtained results showed that the classification performance of three different classifiers which are support vector machine (SVM), K-nearest neighbour (KNN), and Naïve Bayesian classifier (NBC) have been enhanced as compared to the dataset before applying the proposed method. Moreover, the results indicated that issa was performed better than the statistical imputation techniques such as deleting the samples with missing values, replacing the missing values with zeros, mean, or random values.
Evaluation of wind-solar hybrid power generation system based on Monte Carlo method Yitong Niu; Ahmed Mohammed Merza; Suhad Ibraheem Kadhem; Jamal Fadhil Tawfeq; Poh Soon JosephNg; Hassan Muwafaq Gheni
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i4.pp4401-4411

Abstract

The application of wind-photovoltaic complementary power generation systems is becoming more and more widespread, but its intermittent and fluctuating characteristics may have a certain impact on the system's reliability. To better evaluate the reliability of stand-alone power generation systems with wind and photovoltaic generators, a reliability assessment model for stand-alone power generation systems with wind and photovoltaic generators was developed based on the analysis of the impact of wind and photovoltaic generator outages and derating on reliability. A sequential Monte Carlo method was used to evaluate the impact of the wind turbine, photovoltaic (PV) turbine, wind/photovoltaic complementary system, the randomness of wind turbine/photovoltaic outage status and penetration rate on the reliability of Independent photovoltaic power generation system (IPPS) under the reliability test system (RBTS). The results show that this reliability assessment method can provide some reference for planning the actual IPP system with wind and complementary solar systems.
Co-Authors Adnan Yousif Dawod Ahmed Dheyaa Radhi Ahmed Mohammed Merza Ali Hussein Shamman Ali Najim Abdullah Ali Talib Jawad Alya'a R. Ali Asma Khazaal Abdulsahib Aws Hamed Hamad Dalael Saad Abdul-Zahra Fadya A. Habeeb Farah Jasim Mohammed Firas Hazzaa Geehan Sabah Hassan Ghadah M. Faisal Haider Hadi Abbas Haider Hadi Abbas Hala Shaker Mehdy Hasanain Abdalridha Abed Alshadoodee Hasanien Kariem Kuba Hussein Ali Alasadi Hussein Ali Ameen Intisar A. M. Al Sayed Israa Al-Barazanchi Israa Al-Barazanchi Israa Al_Barazanchi Jamal Fadhil Tawfeq Mohammed Fakhrulddin Abdulqader Muneer Sameer Gheni Mansoor Nariman jabbar qasim Noora Jamal Ali Poh Soon JosephNg Seba Aziz Sahy Shaymaa Mohammed Abdulameer Sinan Salih Suaad M. Saber Suhad Ibraheem Kadhem Sura Abdulmunem Mohammed Al-Juboori Sura Hammed Mahdi Yitong Niu Yitong Niu Zahraa A. Jaaz Zaid Ibrahim Rasol Zinah Sattar Jabbar