Search Results - "Thaher, Thaer"

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  1. 1

    Enhanced Binary Moth Flame Optimization as a Feature Selection Algorithm to Predict Software Fault Prediction by Tumar, Iyad, Hassouneh, Yousef, Turabieh, Hamza, Thaher, Thaer

    Published in IEEE access (2020)
    “…Software fault prediction (SFP) is a complex problem that meets developers in the software development life cycle. Collecting data from real software projects,…”
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    Journal Article
  2. 2

    Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models by Thaher, Thaer, Saheb, Mahmoud, Turabieh, Hamza, Chantar, Hamouda

    Published in Symmetry (Basel) (01-04-2021)
    “…Fake or false information on social media platforms is a significant challenge that leads to deliberately misleading users due to the inclusion of rumors,…”
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    Journal Article
  3. 3

    Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction by Hassouneh, Yousef, Turabieh, Hamza, Thaher, Thaer, Tumar, Iyad, Chantar, Hamouda, Too, Jingwei

    Published in IEEE access (2021)
    “…Software fault prediction (SFP) is a challenging process that any successful software should go through it to make sure that all software components are free…”
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    Journal Article
  4. 4

    Cooperative Swarm Intelligence Algorithms for Adaptive Multilevel Thresholding Segmentation of COVID-19 CT-Scan Images by Sabha, Muath, Thaher, Thaer, Emam, Marwa M.

    “…The Coronavirus Disease 2019 (COVID-19) is widespread throughout the world and poses a serious threat to public health and safety. A COVID-19 infection can be…”
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    Journal Article
  5. 5

    Diagnosis of Obstructive Sleep Apnea from ECG Signals Using Machine Learning and Deep Learning Classifiers by Sheta, Alaa, Turabieh, Hamza, Thaher, Thaer, Too, Jingwei, Mafarja, Majdi, Hossain, Md Shafaeat, Surani, Salim R.

    Published in Applied sciences (01-07-2021)
    “…Obstructive sleep apnea (OSA) is a well-known sleep ailment. OSA mostly occurs due to the shortage of oxygen for the human body, which causes several symptoms…”
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    Journal Article
  6. 6

    BHHO-TVS: A Binary Harris Hawks Optimizer with Time-Varying Scheme for Solving Data Classification Problems by Chantar, Hamouda, Thaher, Thaer, Turabieh, Hamza, Mafarja, Majdi, Sheta, Alaa

    Published in Applied sciences (01-07-2021)
    “…Data classification is a challenging problem. Data classification is very sensitive to the noise and high dimensionality of the data. Being able to reduce the…”
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    Journal Article
  7. 7

    An Enhanced Evolutionary Based Feature Selection Approach Using Grey Wolf Optimizer for the Classification of High-dimensional Biological Data by Thaher, Thaer, Awad, Mohammed, Aldasht, Mohammed, Sheta, Alaa, Turabieh, Hamza, Chantar, Hamouda

    “…Feature selection (FS) is a pre-processing step that aims to eliminate the redundant and less-informative features to enhance the performance of data mining…”
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    Journal Article
  8. 8

    Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems by Thaher, Thaer, Mafarja, Majdi, Turabieh, Hamza, Castillo, Pedro A., Faris, Hossam, Aljarah, Ibrahim

    Published in IEEE access (2021)
    “…Machine learning techniques heavily rely on available training data in a data set. Certain features in the data can interfere with the learning process, so it…”
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    Journal Article
  9. 9

    An Enhanced Evolutionary Student Performance Prediction Model Using Whale Optimization Algorithm Boosted with Sine-Cosine Mechanism by Thaher, Thaer, Zaguia, Atef, Al Azwari, Sana, Mafarja, Majdi, Chantar, Hamouda, Abuhamdah, Anmar, Turabieh, Hamza, Mirjalili, Seyedali, Sheta, Alaa

    Published in Applied sciences (01-11-2021)
    “…The students’ performance prediction (SPP) problem is a challenging problem that managers face at any institution. Collecting educational quantitative and…”
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    Journal Article
  10. 10

    Diagnosis of Obstructive Sleep Apnea Using Feature Selection, Classification Methods, and Data Grouping Based Age, Sex, and Race by Sheta, Alaa, Thaher, Thaer, Surani, Salim R, Turabieh, Hamza, Braik, Malik, Too, Jingwei, Abu-El-Rub, Noor, Mafarjah, Majdi, Chantar, Hamouda, Subramanian, Shyam

    Published in Diagnostics (Basel) (01-07-2023)
    “…Obstructive sleep apnea (OSA) is a prevalent sleep disorder that affects approximately 3-7% of males and 2-5% of females. In the United States alone, 50-70…”
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    Journal Article
  11. 11

    Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems by Thaher, Thaer, Chantar, Hamouda, Too, Jingwei, Mafarja, Majdi, Turabieh, Hamza, Houssein, Essam H.

    Published in Expert systems with applications (01-06-2022)
    “…In the feature selection process, reaching the best subset of features is considered a difficult task. To deal with the complexity associated with this…”
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    Journal Article
  12. 12

    Enhanced variants of crow search algorithm boosted with cooperative based island model for global optimization by Thaher, Thaer, Sheta, Alaa, Awad, Mohammed, Aldasht, Mohammed

    Published in Expert systems with applications (15-03-2024)
    “…The Crow Search Algorithm (CSA) is a swarm-based metaheuristic algorithm that simulates the intelligent foraging behaviors of crows. While CSA effectively…”
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    Journal Article
  13. 13

    Augmented whale feature selection for IoT attacks: Structure, analysis and applications by Mafarja, Majdi, Heidari, Ali Asghar, Habib, Maria, Faris, Hossam, Thaher, Thaer, Aljarah, Ibrahim

    Published in Future generation computer systems (01-11-2020)
    “…Smart connected appliances expand the boundaries of the conventional Internet into the new Internet of Things (IoT). IoT started to hold a significant role in…”
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    Journal Article
  14. 14

    Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning by Mafarja, Majdi, Thaher, Thaer, Al-Betar, Mohammed Azmi, Too, Jingwei, Awadallah, Mohammed A., Abu Doush, Iyad, Turabieh, Hamza

    “…Software Fault Prediction (SFP) is an important process to detect the faulty components of the software to detect faulty classes or faulty modules early in the…”
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    Journal Article
  15. 15

    Whale Optimisation Algorithm for high-dimensional small-instance feature selection by Mafarja, Majdi, Jaber, Iyad, Ahmed, Sobhi, Thaher, Thaer

    “…In this paper, eight variants of the Whale Optimisation Algorithm (WOA), that are based on eight different transfer functions, are introduced and used as…”
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    Journal Article
  16. 16

    An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification by Mafarja, Majdi, Thaher, Thaer, Too, Jingwei, Chantar, Hamouda, Turabieh, Hamza, Houssein, Essam H., Emam, Marwa M.

    Published in Neural computing & applications (2023)
    “…Biological data generally contain complex and high-dimensional samples. In addition, the number of samples in biological datasets is much fewer than the number…”
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    Journal Article
  17. 17

    Efficient Multi-Swarm Binary Harris Hawks Optimization as a Feature Selection Approach for Software Fault Prediction by Thaher, Thaer, Arman, Nabil

    “…Designing a solution for an optimization problem requires two main aspects; the optimization technique (e.g., search strategy) and the evaluation criteria…”
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    Conference Proceeding
  18. 18

    An Experimental Design Approach to Analyse the Performance of Island-Based Parallel Artificial Bee Colony Algorithm by Thaher, Thaer, Sartawi, Badie

    “…The Artificial Bee Colony (ABC) is a novel nature-inspired metaheuristic optimization algorithm that mimics the behavior of honey bees searching for food…”
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    Conference Proceeding
  19. 19

    Cloud-based Internet of Things Approach for Smart Irrigation System: Design and Implementation by Thaher, Thaer, Ishaq, Isam

    “…Water plays a significant role in the economic development of countries. The agriculture sector is the most water-consuming; this sector consumes 69% of the…”
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    Conference Proceeding
  20. 20

    Prediction of Student's Academic Performance using Feedforward Neural Network Augmented with Stochastic Trainers by Thaher, Thaer, Jayousi, Rashid

    “…The academic performance of students is of great interest to tutors and decision-makers in educational institutions. The extensive use of information…”
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    Conference Proceeding