يعرض 101 - 120 نتائج من 226 نتيجة بحث عن 'blank learn data processing', وقت الاستعلام: 0.08s تنقيح النتائج
  1. 101

    Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review حسب Rizwan Qureshi (15279193)

    منشور في 2023
    "…Advances in computational hardware, such as cloud computing, graphical processing units (GPUs), Field-programmable gate arrays (FPGAs) and tensor processing units (TPUs), provide the means to utilize these data. …"
  2. 102

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

    منشور في 2022
    "…Currently, it is difficult to classify cancers using microarray data. Nearly many data mining techniques have failed because of the small sample size, which has become more critical for organizations. …"
  3. 103

    Learning by pinning: Introducing Pinterest in sport management education حسب Samuel López-Carril (19256578)

    منشور في 2025
    "…The Wilcoxon test and Cohen's d analysis revealed compelling data, indicating that Pinterest serves as a digital tool facilitating peer and faculty feedback, improving productivity and flexibility in the teaching-learning process, promoting information filtering, and keeping students informed about aspects related to sport management. …"
  4. 104
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  6. 106

    Advanced Techniques for Predicting the Future Progression of Type 2 Diabetes حسب Md. Shafiqul Islam (8988548)

    منشور في 2020
    "…The proposed methods have been evaluated using data from a longitudinal clinical study, known as the San Antonio Heart Study. …"
  7. 107

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

    منشور في 2025
    "…This study not only examines the well-known challenges such as limited availability of data but provides a novel, structured taxonomy of deep learning techniques tailored for the monitoring of seagrass, highlighting their unique advantages and limitations within diverse marine environments. …"
  8. 108

    Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges حسب Muhammad Usama (3629090)

    منشور في 2019
    "…In addition, unsupervised learning can unconstrain us from the need for labeled data and manual handcrafted feature engineering, thereby facilitating flexible, general, and automated methods of machine learning. …"
  9. 109

    Deep learning in automated power line inspection: A review حسب Md. Ahasan Atick Faisal (15302410)

    منشور في 2025
    "…A significant focus on applying deep learning techniques for enhancing power line inspection processes has been observed in recent research. …"
  10. 110

    High frequency volatility forecasting and risk assessment using neural networks-based heteroscedasticity model حسب Aryan Bhambu (18767731)

    منشور في 2025
    "…The proposed GARCH-based MLP-Mixer (GaMM) model incorporates the stacking of multi-layer perceptrons, enabling deep representation learning, facilitating the extraction of temporal and feature information through operations along both time and feature dimensions, and addressing the complexity of high-frequency time-series data. …"
  11. 111

    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
    "…<h3>Background and Motivations</h3><p dir="ltr">Physiological signals, such as the Photoplethysmogram (PPG) collected through wearable devices, consistently encounter significant motion artifacts. 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. …"
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  13. 113

    Multimodal deep learning for liver cancer applications: a scoping review حسب Aisha Siam (17293957)

    منشور في 2023
    "…The introduction of deep learning models with multimodal data can enhance the diagnosis and improve physicians' decision-making for cancer patients.…"
  14. 114

    Reinforcement Learning Based EV Charging Management Systems–A Review حسب Heba M. Abdullah (16896384)

    منشور في 2021
    "…Unlike other machine learning approaches, the RL technique is based on maximizing the cumulative reward. …"
  15. 115

    Learning Clinical Reasoning: The Experience of Postgraduate Psychiatry Trainee Doctors in Qatar حسب Dalia Albahari (17115664)

    منشور في 2023
    "…</p><h2>Other Information</h2><p dir="ltr">Published in: Teaching and Learning in Medicine<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/10401334.2023.2209076" target="_blank">https://dx.doi.org/10.1080/10401334.2023.2209076</a></p>…"
  16. 116

    Blended learning in undergraduate dental education: a global pilot study حسب Kamran Ali (8861576)

    منشور في 2023
    "…A previously validated questionnaire consisting of a combination of closed and open-ended items was used for data collection. Responses to these online questionnaires were processed and analysed using the R statistical computing environment.…"
  17. 117

    FarmTech: Regulating the use of digital technologies in the agricultural sector حسب Imad Antoine Ibrahim (14158998)

    منشور في 2023
    "…<p dir="ltr">Farming relies on the accurate collection and processing of data. Algorithms utilizing artificial intelligence can predict patterns and spot problems, helping farmers make more informed decisions. …"
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    Advancing paleontology: a survey on deep learning methodologies in fossil image analysis حسب Mohammed Yaqoob (344668)

    منشور في 2025
    "…Recent advances in deep learning offer the potential to automate fossil image analysis, improving throughput and limiting operator bias. …"
  20. 120

    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. …"