يعرض 261 - 280 نتائج من 372 نتيجة بحث عن '(((( data processing algorithm ) OR ( data making algorithm ))) OR ( element mapping algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 261

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

    منشور في 2022
    "…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …"
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  2. 262

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

    منشور في 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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    conferenceObject
  3. 263

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

    منشور في 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. …"
  4. 264

    Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura, Habiba

    منشور في 2023
    "…The Internet of Things (IoT) platform allows physical devices to connect directly to the internet and upload data continuously. Insecure access makes IoT platforms vulnerable to different network intrusion attacks. …"
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    article
  5. 265

    FoGMatch حسب Arisdakessian, Sarhad

    منشور في 2019
    "…In this context, the notion of fog computing has been projected to furnish data analytics and decision-making closer to the IoT devices. …"
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    masterThesis
  6. 266

    Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura Habiba (17808302)

    منشور في 2023
    "…<p>The Internet of Things (IoT) platform allows physical devices to connect directly to the internet and upload data continuously. Insecure access makes IoT platforms vulnerable to different network intrusion attacks. …"
  7. 267

    Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects حسب Mohamed Massaoudi (16888710)

    منشور في 2021
    "…This ongoing transition undergoes rapid changes, requiring a plethora of advanced methodologies to process the big data generated by various units. In this context, SG stands tied very closely to Deep Learning (DL) as an emerging technology for creating a more decentralized and intelligent energy paradigm while integrating high intelligence in supervisory and operational decision-making. …"
  8. 268

    Using artificial bee colony to optimize software quality estimation models. (c2015) حسب Abou Assi, Tatiana Antoine

    منشور في 2016
    "…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. …"
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    masterThesis
  9. 269

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

    منشور في 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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    masterThesis
  10. 270

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying حسب Tekli, Joe

    منشور في 2023
    "…The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …"
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    article
  11. 271

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

    منشور في 2019
    "…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"
  12. 272

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

    منشور في 2022
    "…The study selection process was carried out in three phases: study identification, study selection, and data extraction. …"
  13. 273

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

    منشور في 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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    article
  14. 274
  15. 275
  16. 276

    From Collatz Conjecture to chaos and hash function حسب Masrat Rasool (17807813)

    منشور في 2023
    "…This paper aims to introduce a novel approach to addressing current security challenges by utilizing our generalized Collatz process to create a chaos-based hash function. By leveraging the unpredictable behaviour of the Collatz sequence, the proposed hash function aims to enhance ergodicity and entropy properties, thereby making it well-suited for cryptographic applications. …"
  17. 277

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

    منشور في 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. …"
  18. 278

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

    منشور في 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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  19. 279

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

    منشور في 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.…"
  20. 280

    Efficient utilization of scalable multipliers in parallel to compute GF(p) elliptic curve cryptographic operations حسب Gutub, Adnan

    منشور في 2007
    "…This paper presents the design and implementation of an elliptic curve cryptographic core to realize point scalar multiplication operations used for the GF(p) elliptic curve encryption/decryption and the elliptic curve digital signature algorithm (ECDSA). The design makes use of projective coordinates together with scalable Montgomery multipliers for data size of up to 256-bits. …"
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    article