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Showing 1 - 20 results of 463 for search '(( large improvements ) OR ((( program implementededinged ) OR ( program implementinginged ))))', query time: 0.11s Refine Results
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    A clustering metaheuristic for large orienteering problems by Almiqdad Elzein (13141038)

    Published 2022
    “…The metaheuristic aims to dramatically improve the computation time of a given Orienteering Problem algorithm without a significant decrease in the solution quality of that algorithm, especially for large Orienteering Problems. …”
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    Medium amplitude model for internal waves over large topography variation by Lteif, Ralph

    Published 2022
    “…The smallness assumptions on the topographic variation parameter used in Lteif et al. (2015) [19] and in Lteif and Israwi (2018) [18] are now relaxed and the results of the aforementioned papers are improved and generalized to the complex case of large topography variation. …”
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    Efficient self-attention with smart pruning for sustainable large language models by Samir Brahim Belhaouari (9427347)

    Published 2025
    “…<p dir="ltr">Large Language Models (LLMs) have revolutionized artificial intelligence by enabling multitasking across diverse fields. …”
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    Large language models for code completion: A systematic literature review by Rasha Ahmad Husein (19744756)

    Published 2024
    “…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …”
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    Enhanced megaproject management systems in the LNG industry: A case study from Qatar by Salman H. Ashkanani (17317087)

    Published 2023
    “…Finally, although the focus of this study is the management of LNG megaprojects, it is expected that many improvements identified here would find relevance in managing large and complex projects, even in other industrial sectors.…”
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    Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants by Abouzeid M. Shalaby (16810695)

    Published 2020
    “…<p dir="ltr">Without Borel or Padé techniques, we show that for a divergent series with n! large-order growth factor, the set of hypergeometric series <sub>p</sub>F<sub>p</sub> -2 represents suitable approximants. …”
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    AI-enhanced interview simulation in the metaverse: Transforming professional skills training through VR and generative conversational AI by Abdullah Bin, Nofal

    Published 2025
    “…The advent of Generative AI (GenAI) technology, in particular Large Language Models (LLMs), makes this is viable proposition but progress is hindered by the absence of open-source implementations for reproducibility and comparison, as well as the lack of suitable evaluation benchmarks and experimental setups. …”
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    Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed (6488738)

    Published 2025
    “…Our work addresses this gap by integrating LLMs into PSO to reduce model evaluations and improve convergence for deep learning hyperparameter tuning. …”
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    DISGD: A Distributed Shared-nothing Matrix Factorization for Large Scale Online Recommender Systems by Hazem, Heidy

    Published 2020
    “…Compared to the baseline incremental approach, our evaluation on several datasets shows not only improvement in processing time but also improved recall by 55%.…”
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    Diffuse large B‐cell lymphoma presenting with pulmonary artery compression symptoms, case reports by Mhd Baraa Habib (11721774)

    Published 2024
    “…<p dir="ltr">Mediastinal diffuse large B‐cell lymphoma (DLBC) may manifest in different presentations including systemic symptoms and local mass symptoms. …”
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    Aerosol Optical Thickness over Large Urban Environments of the Arabian Peninsula—Speciation, Variability, and Distributions by Dillan Raymond Roshan (18094867)

    Published 2019
    “…Reductions in local urban emissions are still considered to be efficient measures to improve air quality in these population centers despite the significant contribution of desert dust in the total particulate matter levels in the region.…”
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    A survey of transformers and large language models for ECG diagnosis: advances, challenges, and future directions by Mohammed Yusuf Ansari (16904523)

    Published 2025
    “…Recent advancements in large language models (LLMs) have further expanded the utility of transformers by enabling multimodal integration and facilitating zero-shot diagnosis, thereby enhancing the scope of ECG-based clinical applications. …”