Search Results - "Faris, Hossam"

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  1. 1

    Harris hawks optimization: Algorithm and applications by Heidari, Ali Asghar, Mirjalili, Seyedali, Faris, Hossam, Aljarah, Ibrahim, Mafarja, Majdi, Chen, Huiling

    Published in Future generation computer systems (01-08-2019)
    “…In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO). The main inspiration…”
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    Journal Article
  2. 2

    MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems by Nadimi-Shahraki, Mohammad H., Taghian, Shokooh, Mirjalili, Seyedali, Faris, Hossam

    Published in Applied soft computing (01-12-2020)
    “…In this article, an effective metaheuristic algorithm named multi-trial vector-based differential evolution (MTDE) is proposed. The MTDE is distinguished by…”
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    Journal Article
  3. 3

    Grasshopper optimization algorithm for multi-objective optimization problems by Mirjalili, Seyedeh Zahra, Mirjalili, Seyedali, Saremi, Shahrzad, Faris, Hossam, Aljarah, Ibrahim

    “…This work proposes a new multi-objective algorithm inspired from the navigation of grass hopper swarms in nature. A mathematical model is first employed to…”
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  4. 4

    Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems by Mirjalili, Seyedali, Gandomi, Amir H., Mirjalili, Seyedeh Zahra, Saremi, Shahrzad, Faris, Hossam, Mirjalili, Seyed Mohammad

    Published in Advances in engineering software (1992) (01-12-2017)
    “…•A novel optimization algorithm called Salp Swarm Optimizer (SSA) is proposed.•Multi-objective Salp Swarm Algorithm (MSSA) is proposed to solve multi-objective…”
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  5. 5

    A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors by Faris, Hossam

    Published in Information (Basel) (17-11-2018)
    “…Customer churn is one of the most challenging problems for telecommunication companies. In fact, this is because customers are considered as the real asset for…”
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  6. 6

    Binary dragonfly optimization for feature selection using time-varying transfer functions by Mafarja, Majdi, Aljarah, Ibrahim, Heidari, Ali Asghar, Faris, Hossam, Fournier-Viger, Philippe, Li, Xiaodong, Mirjalili, Seyedali

    Published in Knowledge-based systems (01-12-2018)
    “…•Novel feature selection approaches based on Binary Dragonfly Algorithm (BDA) are proposed.•Eight time varying S-shaped and V-shaped transfer functions are…”
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  7. 7

    An evolutionary gravitational search-based feature selection by Taradeh, Mohammad, Mafarja, Majdi, Heidari, Ali Asghar, Faris, Hossam, Aljarah, Ibrahim, Mirjalili, Seyedali, Fujita, Hamido

    Published in Information sciences (01-09-2019)
    “…•Gravitational Search Algorithm (GSA) was used as a search strategy in a Feature Selection approach.•Crossover and Mutation evolutionary operators were used to…”
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  8. 8

    An enhanced associative learning-based exploratory whale optimizer for global optimization by Heidari, Ali Asghar, Aljarah, Ibrahim, Faris, Hossam, Chen, Huiling, Luo, Jie, Mirjalili, Seyedali

    Published in Neural computing & applications (01-05-2020)
    “…Whale optimization algorithm (WOA) is a recent nature-inspired metaheuristic that mimics the cooperative life of humpback whales and their spiral-shaped…”
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    Journal Article
  9. 9

    Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification by Chantar, Hamouda, Mafarja, Majdi, Alsawalqah, Hamad, Heidari, Ali Asghar, Aljarah, Ibrahim, Faris, Hossam

    Published in Neural computing & applications (01-08-2020)
    “…Text classification is one of the challenging computational tasks in machine learning community due to the increased amounts of natural language text documents…”
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  10. 10

    Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems by Mafarja, Majdi, Aljarah, Ibrahim, Heidari, Ali Asghar, Hammouri, Abdelaziz I., Faris, Hossam, Al-Zoubi, Ala’ M., Mirjalili, Seyedali

    Published in Knowledge-based systems (01-04-2018)
    “…Searching for the optimal subset of features is known as a challenging problem in feature selection process. To deal with the difficulties involved in this…”
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    Journal Article
  11. 11

    Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach by Aljarah, Ibrahim, Mafarja, Majdi, Heidari, Ali Asghar, Faris, Hossam, Mirjalili, Seyedali

    Published in Knowledge and information systems (01-02-2020)
    “…Grey wolf optimizer (GWO) is known as one of the recent popular metaheuristic algorithms inspired from the social collaboration and team hunting activities of…”
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    Journal Article
  12. 12

    Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection by Qaddoura, Raneem, Faris, Hossam

    Published in The Journal of supercomputing (2024)
    “…The intrusion detection system is responsible for revealing different intrusion activities, including the denial of service, man-in-middle, Mirai, Scan, and…”
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  13. 13

    Feature engineering for detecting spammers on Twitter: Modelling and analysis by Herzallah, Wafa, Faris, Hossam, Adwan, Omar

    Published in Journal of information science (01-04-2018)
    “…Twitter is a social networking website that has gained a lot of popularity around the world in the last decade. This popularity made Twitter a common target…”
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  14. 14

    Relational Learning Analysis of Social Politics using Knowledge Graph Embedding by Abu-Salih, Bilal, Al-Tawil, Marwan, Aljarah, Ibrahim, Faris, Hossam, Wongthongtham, Pornpit, Chan, Kit Yan, Beheshti, Amin

    Published in Data mining and knowledge discovery (01-07-2021)
    “…Knowledge Graphs (KGs) have gained considerable attention recently from both academia and industry. In fact, incorporating graph technology and the copious of…”
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    Journal Article
  15. 15

    A Modified Multi-objective Particle Swarm Optimizer-Based Lévy Flight: An Approach Toward Intrusion Detection in Internet of Things by Habib, Maria, Aljarah, Ibrahim, Faris, Hossam

    “…The emerging of the Internet of things (IoT), and more, the advent of the Internet of everything have revolutionized the computer networks industry. The high…”
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  16. 16

    EvoImputer: An evolutionary approach for Missing Data Imputation and feature selection in the context of supervised learning by Awawdeh, Shatha, Faris, Hossam, Hiary, Hazem

    Published in Knowledge-based systems (25-01-2022)
    “…Missing data is a considerable problem in knowledge extraction where the completeness and the quality of the data play a major role in data analysis. In many…”
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  17. 17

    Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution by Alomari, Alaa, Faris, Hossam, Castillo, Pedro A

    Published in PloS one (16-11-2023)
    “…The Covid-19 pandemic has led to an increase in the awareness of and demand for telemedicine services, resulting in a need for automating the process and…”
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  18. 18

    A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning by Qaddoura, Raneem, M Al-Zoubi, Ala', Faris, Hossam, Almomani, Iman

    Published in Sensors (Basel, Switzerland) (24-04-2021)
    “…The security of IoT networks is an important concern to researchers and business owners, which is taken into careful consideration due to its direct impact on…”
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  19. 19

    Intelligent detection of hate speech in Arabic social network: A machine learning approach by Aljarah, Ibrahim, Habib, Maria, Hijazi, Neveen, Faris, Hossam, Qaddoura, Raneem, Hammo, Bassam, Abushariah, Mohammad, Alfawareh, Mohammad

    Published in Journal of information science (01-08-2021)
    “…Nowadays, cyber hate speech is increasingly growing, which forms a serious problem worldwide by threatening the cohesion of civil societies. Hate speech…”
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  20. 20

    Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application by Yaseen, Zaher Mundher, Al-Ansari, Nadhir, Faris, Hossam

    Published in Complexity (New York, N.Y.) (2020)
    “…The capability of the extreme learning machine (ELM) model in modeling stochastic, nonlinear, and complex hydrological engineering problems has been proven…”
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