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Showing 221 - 240 results of 328 for search '(( elements fe algorithm ) OR ((( task scheduling algorithm ) OR ( data processing algorithm ))))', query time: 0.12s Refine Results
  1. 221
    Recovery of business intelligence systems

    Recovery of business intelligence systems by Haraty, Ramzi A.

    Published 2018
    “…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …”
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  2. 222
    An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services

    An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services by ALBARGHOTHI, ALI BAHA’EDDIN

    Published 2018
    “…After that, the Natural Language Processing (NLP) tasks are used to process the services’ profiles and extract the ontological keywords. …”
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  3. 223
    A novel few shot learning derived architecture for long-term HbA1c prediction

    A novel few shot learning derived architecture for long-term HbA1c prediction by Marwa Qaraqe (10135172)

    Published 2024
    “…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …”
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  4. 224
    Automated skills assessment in open surgery: A scoping review

    Automated skills assessment in open surgery: A scoping review by Hawa Hamza (17707224)

    Published 2025
    “…We highlight the progress in automated skills assessment during open surgery with advancements in sensor technology, and AI algorithms with high prediction accuracies. Further developments in data acquisition and processing methods are essential to facilitate clinical implementation of such technologies.…”
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  5. 225
    Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS

    Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS by Tekli, Joe

    Published 2018
    “…To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …”
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  6. 226
    An integrated partitioning and synthesis system for dynamically reconfigurable Multi-FPGA architectures

    An integrated partitioning and synthesis system for dynamically reconfigurable Multi-FPGA architectures by Ouaiss, Iyad

    Published 2017
    “…The SPARCS system accepts design specifications at the behavior level, in the form of task graphs. The system contains a temporal partitioning tool to temporally divide and schedule the tasks on the reconfigurable architecture, a spatial partitioning tool to map the tasks to individual FPGAs, and a high-level synthesis tool to synthesize efficient register-transfer level designs for each set of tasks destined to be downloaded on each FPGA. …”
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  7. 227
    Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System

    Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System by Abougharib, Arwa

    Published 2020
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  8. 228
    Portable Electromagnetic Surface Profiling System

    Portable Electromagnetic Surface Profiling System by Al Homssi, Bassel Mohamad

    Published 2016
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  9. 229
    Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study

    Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

    Published 2023
    “…<p dir="ltr">The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of human beings from scheduling daily activities to personalized shopping recommendations. …”
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  10. 230
    Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization

    Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization by Alkhawja, Fares Amin E

    Published 2019
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  11. 231
    Optimizing ADWIN for Steady Streams

    Optimizing ADWIN for Steady Streams by Moharram, Hassan

    Published 2022
    “…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. …”
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  12. 232
    Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology

    Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology by Ajay Vikram Singh (204056)

    Published 2023
    “…As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. …”
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  13. 233
    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning

    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning by ALFALASI, FARIS Jr

    Published 2023
    “…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …”
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  14. 234
    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model

    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model by Ramesh Sundar (19326046)

    Published 2024
    “…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …”
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  15. 235
    Evacuation of a highly congested urban city

    Evacuation of a highly congested urban city by El Khoury, John

    Published 2017
    “…As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. …”
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  16. 236
    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning

    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

    Published 2022
    “…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …”
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  17. 237
    Shuffled Linear Regression with Erroneous Observations

    Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

    Published 2019
    “…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …”
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  18. 238
    High-order parametrization of the hypergeometric-Meijer approximants

    High-order parametrization of the hypergeometric-Meijer approximants by Abouzeid M. Shalaby (16329062)

    Published 2023
    “…<p>In this work, we introduce an extension to the hypergeometric algorithm we developed before for the resummation of divergent series.The extension overcome the time-consuming problem we face in the parametrization process of the hypergeometric approximants. …”
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  19. 239
    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)

    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) by Kouatli, Issam

    Published 2015
    “…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …”
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  20. 240
    Deep Reinforcement Learning for Resource Constrained HLS Scheduling

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

    Published 2022
    “…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
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