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  1. 1
    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications

    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications by Abu Zitar, Raed

    Published 2021
    Subjects: “…JAYA Algorithm…”
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  2. 2
    Intelligent Rapidly-Exploring Random Tree Star Algorithm

    Intelligent Rapidly-Exploring Random Tree Star Algorithm by Ahmed, Khidir Galal Eldin Khidir

    Published 2024
    “…A Master of Science thesis in Mechatronics Engineering by Khidir Galal Eldin Khidir Ahmed entitled, “Intelligent Rapidly-Exploring Random Tree Star Algorithm”, submitted in May 2024. …”
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  3. 3
    Exploring Semi-Supervised Learning Algorithms for Camera Trap Images

    Exploring Semi-Supervised Learning Algorithms for Camera Trap Images by Sajun, Ali Reza

    Published 2022
    “…A Master of Science thesis in Computer Engineering by Ali Reza Sajun entitled, “Exploring Semi-Supervised Learning Algorithms for Camera Trap Images”, submitted in August 2022. …”
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  4. 4
    Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees

    Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees by Umari, Hassan Abdul-Rahman

    Published 2017
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  5. 5
    Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic

    Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic by AL MANSOORI, MOUZA

    Published 2021
    “…This paper focuses on dialectal Arabic sentiment analysis. The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. …”
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  6. 6
    Exploring the Impact of Explainable Artificial Intelligence on Decision-making in Healthcare

    Exploring the Impact of Explainable Artificial Intelligence on Decision-making in Healthcare by MOHAMMAD, AHMAD HASAN

    Published 2023
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  7. 7
    Mobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approach

    Mobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approach by Mohammed, Hussein Ali

    Published 2018
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  8. 8
    RRT and Octomap based 3D environment exploration and mapping

    RRT and Octomap based 3D environment exploration and mapping by Koirala, Koshish

    Published 2020
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  9. 9
    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)

    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) by Korkmaz, Rita

    Published 2008
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  10. 10
    Exploring Digital Competitiveness through Bayesian Belief Networks

    Exploring Digital Competitiveness through Bayesian Belief Networks by Qazi, Abroon

    Published 2025
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  11. 11
    Bee Colony Algorithm for Proctors Assignment.

    Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

    Published 2015
    “…The algorithm performs a neighborhood search combined with a random search to balance exploration and exploitation. …”
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  12. 12
    Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective

    Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective by Mir, Imran

    Published 2023
    “…This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio-inspired technology, with deterministic Multi-Agent Exploration. …”
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  13. 13
    Exploring the System Dynamics of Covid-19 in Emergency Medical Services

    Exploring the System Dynamics of Covid-19 in Emergency Medical Services by Ali, Muhammad

    Published 2022
    “…In this context, this research presents descriptive and predictive analysis to fully explore the Covid-19 impact on EMS in Lebanon. The descriptive analysis focuses on the changes in call volumes and response times during the COVID-19 pandemic compared to both other countries and previous years. …”
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  14. 14
    Highly scalable parallel search-tree algorithms

    Highly scalable parallel search-tree algorithms by Abu-Khzam, Faisal N.

    Published 2017
    “…We introduce the notion of a virtual topology and explore the use of search-tree indexing to achieve highly scalable parallel search-tree algorithms for NP-hard problems. …”
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  15. 15
    Arithmetic optimization algorithm: a review and analysis

    Arithmetic optimization algorithm: a review and analysis by Abualigah, Laith

    Published 2024
    “…It also explores the applications of the algorithm in different fields, which will be of help for future researchers.…”
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  16. 16
    Whale optimization algorithm: analysis and full survey

    Whale optimization algorithm: analysis and full survey by Abualigah, Laith

    Published 2024
    “…This paper presents a comprehensive analysis and survey of the WOA, examining its key components, variations, and applications. The algorithm's encircling prey, bubble-net feeding, and search for prey steps are explained in detail, highlighting their role in balancing exploration and exploitation. …”
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  17. 17
    Recent Advances of Chimp Optimization Algorithm: Variants and Applications

    Recent Advances of Chimp Optimization Algorithm: Variants and Applications by Daoud, Mohammad Sh.

    Published 2023
    “…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …”
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  18. 18
    Exploring AI Conversational Chatbot UX Design: Insights from High School

    Exploring AI Conversational Chatbot UX Design: Insights from High School by Suha Khalil Assayed

    Published 2025
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  19. 19
    An incremental approach for test scheduling and synthesis using genetic algorithms

    An incremental approach for test scheduling and synthesis using genetic algorithms by Harmanani, H.

    Published 2017
    “…The method is based on a genetic algorithm that efficiently explores the testable design space. …”
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  20. 20
    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

    Published 2007
    “…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
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