يعرض 261 - 280 نتائج من 639 نتيجة بحث عن '(((( data learning algorithm ) OR ( designed using algorithm ))) OR ( elements data algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 261

    Hardware design and VLSI implementation of a byte-wise CRCgenerator chip حسب Sait, Sadiq M.

    منشور في 1995
    "…The byte-wise CRC algorithm is translated to hardware and pressed in APHL (VLSI design automation language). …"
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    article
  2. 262
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    Benchmarking Concept Drift Detectors for Online Machine Learning حسب Mahgoub, Mahmoud

    منشور في 2022
    "…Concept drift detection is an essential step to maintain the accuracy of online machine learning. The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
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  4. 264

    Positive Unlabelled Learning to Recognize Dishes as Named Entity حسب TAREK, AIMAN

    منشور في 2019
    "…I work with Yelp dataset, going through each text review, using each noun as a candidate, label the positive samples using the aforementioned lookup table, then using Positive Unlabelled learning techniques to recognise more entities within the unlabelled data, by predicting the probability for each candidate. …"
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  5. 265
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  8. 268

    LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

    منشور في 2022
    "…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"
  9. 269

    Using machine learning to support students’ academic decisions حسب ALLAH, AISHA QASIM GHAZAL FATEH

    منشور في 2019
    "…This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. …"
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  10. 270

    Energy-Efficient VoI-Aware UAV-Assisted Data Collection in Wireless Sensor Networks حسب Kalash, Saeddin

    منشور في 2025
    "…To address these objectives, our proposed approach incorporates deep reinforcement learning (RL-DQN) techniques to optimize UAV deployment, minimizing the number of UAVs while maximizing the number of successfully collected SNs with non-redundant data. …"
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    masterThesis
  11. 271
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    HARDWARE DESIGN AND VLSI IMPLEMENTATION OF A BYTE-WISE CRC GENERATOR CHIP حسب Sait, Sadiq M.

    منشور في 2020
    "…In this paper the ahrdware design and VLSi implementation of a byte-wise CRC generator is presented. …"
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    article
  14. 274
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    Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

    منشور في 2024
    "…<p dir="ltr">In the realm of multi-label learning, instances are often characterized by a plurality of labels, diverging from the single-label paradigm prevalent in conventional datasets. …"
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    Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control حسب Abu Zitar, Raed

    منشور في 2022
    "…A biomedical application of a novel metaheuristic optimizer is proposed in this paper by constructing an enhanced arithmetic optimization algorithm (AOA). The latter algorithm was constructed using the logarithmic spiral (Ls) search mechanism from the whale optimization algorithm and the greedy selection scheme from the differential evolution algorithm. …"
  18. 278

    Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring حسب Sakib Mahmud (15302404)

    منشور في 2024
    "…Current signal processing techniques, and even state-of-the-art machine learning algorithms, frequently struggle to effectively restore the inherent bodily signals amidst the array of randomly generated distortions. …"
  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.…"
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