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Showing 221 - 240 results of 320 for search '(( data processing algorithm ) OR ((( develop rd algorithm ) OR ( element data algorithm ))))*', query time: 0.12s Refine Results
  1. 221
    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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  2. 222
    Face Flow: Constrained Optical Flow Framework for Faces

    Face Flow: Constrained Optical Flow Framework for Faces by Alkaddour, Muhannad

    Published 2020
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  3. 223
    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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  4. 224
    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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  5. 225
    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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  6. 226
    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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  7. 227
    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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  8. 228
    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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  9. 229
    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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  10. 230
    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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  11. 231
    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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  12. 232
    A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer

    A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer by M. Z. Yildiz (16855476)

    Published 2019
    “…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …”
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  13. 233
    The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review

    The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review by Uzair Shah (15740699)

    Published 2022
    “…The study selection process was carried out in three phases: study identification, study selection, and data extraction. …”
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  14. 234
    Topology and parameter estimation in power systems through inverter-based broadband stimulations

    Topology and parameter estimation in power systems through inverter-based broadband stimulations by Margossian, Harag

    Published 2015
    “…Broadband stimulation signals are injected from distributed generators and their effects are measured at various locations in the grid. To process and evaluate this data, a novel aggregation method based on weighed least squares will be proposed in this study. …”
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  15. 235
    Benchmark on a large cohort for sleep-wake classification with machine learning techniques

    Benchmark on a large cohort for sleep-wake classification with machine learning techniques by Joao Palotti (8479842)

    Published 2019
    “…However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …”
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  16. 236
    Improving Rule Set Based Software Quality Prediction

    Improving Rule Set Based Software Quality Prediction by Azar, Danielle

    Published 2003
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  17. 237
    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems

    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …”
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  18. 238
    A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass

    A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

    Published 2025
    “…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…”
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  19. 239
    Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles

    Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles by Wadi, Ali

    Published 2017
    “…The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …”
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  20. 240
    Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea

    Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea by Issa, Leila

    Published 2018
    “…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …”
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