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يعرض 41 - 60 نتائج من 1,587 نتيجة بحث عن '(( greater decrease ) OR ((( ((times OR deep) OR les) increase ) OR ( peer decrease ))))*', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 41

    Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA حسب Muhammad Shehab (16904880)

    منشور في 2022
    "…As the imperfection increases by ten times, the rate decreases by more than 10%.…"
  2. 42

    Artificial Intelligence Chatbots: A Survey of Classical versus Deep Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques حسب A. Alazzam, Bayan

    منشور في 2023
    "…In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. …"
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    A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

    منشور في 2025
    "…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …"
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    Neuron-level Interpretation of Deep NLP Models: A Survey حسب Hassan Sajjad (5297441)

    منشور في 2022
    "…<p dir="ltr">The proliferation of Deep Neural Networks in various domains has seen an increased need for interpretability of these models. …"
  9. 49

    Increased Fracture Risk After Bariatric Surgery: a Case-Controlled Study with a Long-Term Follow-Up حسب Omar Suhail Alsaed (14151861)

    منشور في 2022
    "…This study aimed to investigate whether bariatric surgery increases fracture risk.</p> <h2>Material and Methods</h2> <p>It was a case-controlled study. …"
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    Examining time-to-transport decisions in Emergency Medical Services حسب Hassan Farhat (9000509)

    منشور في 2024
    "…The Schoenfeld plot (Figure 2) demonstrates that multiple variables have a significant impact on increasing the time-to-handover.</p><h3>Conclusion</h3><p dir="ltr">The study elucidates and clarifies key factors affecting time-to-transport in EMS, underscoring a decline in transport success rates as time on scene lengthens. …"
  13. 53

    Increased Frequency of Severe Hypoglycemia with the Modified-Release Gliclazide Compared to Glimepiride in Diabetic Older Adults; Propensity Score-Adjusted Analysis حسب Ahmed Fouad Algendy (18102706)

    منشور في 2022
    "…The low doses of both treatments did not show any SHEA cases, while the results with higher doses showed the same pattern of increased risk with gliclazide MR as the principle analysis. …"
  14. 54

    Deep aging clocks: AI-powered strategies for biological age estimation حسب Luma Srour (22254409)

    منشور في 2025
    "…<p>Several strategies have emerged lately in response to the rapid increase in the aging population to enhance health and life span and manage aging challenges. …"
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    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

    منشور في 2024
    "…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …"
  17. 57

    A Narrative Review on Prevention and Early Intervention of Challenging Behaviors in Children with a Special Emphasis on COVID-19 Times حسب Sarah Musa (12269578)

    منشور في 2022
    "…<h3>Background</h3><p dir="ltr">COVID-19 and the measures stemming from efforts to control it have affected the psychosocial wellbeing of children and adolescents. The increasing trend of challenging behavior has exerted further pressure on parents and schools. …"
  18. 58

    An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network حسب Tawfik Beghriche (19563184)

    منشور في 2021
    "…This improvement can reduce time, efforts, and labor in healthcare services as well as increasing the final decision accuracy.…"
  19. 59

    Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes حسب Anas M. Tahir (16870077)

    منشور في 2023
    "…Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. …"
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