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    Paraphrasing Arabiuc Metaphor with Neural Machine Translation by Alkhatib, Manar

    Published 2018
    “…Our model describes paraphrases in a continuous space and generates candidate paraphrases for an Arabic source input. Experimental ntal results across datasets confirm that neural paraphrases significantly outperform those obtained with…”
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  4. 324

    A Deep Learning Framework for the Classification of Brazilian Coins by Acharya, Biswaranjan

    Published 2023
    “…Our framework employs a multi-stage approach for coin classification. First, a pre-processing module handles coin localization and image enhancement to mitigate variations in lighting and background. …”
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    A distributed framework for relaying stereo vision for telerobotics by Al-Mouhamed, M.

    Published 2004
    “…We used a multi-threaded execution to promote concurrency in grabbing, transmitting, receiving, processing, and displaying image data using head-mounted display (HMD) technology. …”
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    article
  7. 327

    Building semantic trees from XML documents by Tekli, Joe

    Published 2016
    “…As a result, XML semantic-aware processing has become a motivating challenge in Web data management, requiring dedicated semantic analysis and disambiguation methods to assign well-defined meaning to XML elements and attributes. …”
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  8. 328

    Recent Versions and Applications of Sparrow Search Algorithm by Al-Betar, Mohammed Azmi

    Published 2023
    “…Since its establishment, it has been utilized for a plethora of optimization problems in different research topics, such as mechanical engineering, electrical engineering, civil engineering, power systems, industrial engineering, image processing, networking, environment, robotics, planing and scheduling, and healthcare. …”
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    A kernelization algorithm for d-Hitting Set by Abu-Khzam, Faisal N.

    Published 2010
    “…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …”
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  11. 331

    A decentralized load balancing approach for parallel search-tree optimization by Abu-Khzam, F.N.

    Published 2017
    “…We present experimental results that show notable improved running times on all types of input instances.…”
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  12. 332

    My Assist by Alkhaledi, Aisha

    Published 2019
    “…This camera can recognize the surrounding rooms and places through a program that is programmed in the device using OpenMV Image processing camera. We also thought of making a stick to act as a sensor through vibrations indicating something in front of them. …”
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    Review Article Emotionally Intelligent Chatbots: A Systematic Literature Review by Bilquise , Ghazala

    Published 2022
    “…Researchers are leveraging Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques to impart emotional intelligence capabilities in chatbots. …”
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    Exploring Machine Learning Models to Predict Harmonized System Code by AL Taheri, Fatma

    Published 2019
    “…Following this is the preparation of data for processing and the creation of the machine learning models. …”
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  16. 336

    Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

    Published 2025
    “…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …”
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    Towards cleaner waters: Advancing pollutant detection with artificial intelligence-assisted digital in-line holographic microscopy by R. Rarima (22927237)

    Published 2025
    “…This review compiles various AI methodologies used for processing holograms of different pollutants in aqueous environments. …”
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    A LINEAR-PROGRAMMING MODEL TO EVALUATE GAS AVAILABILITY FOR VITAL INDUSTRIES IN SAUDI-ARABIA by Duffuaa, S. O.

    Published 2020
    “…Saudi Arabia has realized the huge potential in its natural gas resources and has therefore developed petrochemical industries which utilize the various gas components as their input. Natural gas is associated with oil production, a glut in the oil market reduces the oil production quota and hence the supply of gas (mainly methane and ethane) to these industries. …”
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