يعرض 221 - 240 نتائج من 278 نتيجة بحث عن '(( elements method algorithm ) OR ((( data code algorithm ) OR ( deep learning algorithms ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 221

    Automated skills assessment in open surgery: A scoping review حسب Hawa Hamza (17707224)

    منشور في 2025
    "…Most of the studies acquired data by capturing surgeon's hands (50 %, <i>n </i>= 20). About 35 % utilized deep learning algorithms, specifically convolutional neural networks (CNN) (<i>n </i>= 14). …"
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    Extreme Early Image Recognition Using Event-Based Vision حسب Abubakar Abubakar (18278998)

    منشور في 2023
    "…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …"
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    Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE حسب Mathew, Elezabeth

    منشور في 2020
    "…Demand forecasting is done using deep learning techniques. Long short-term memory (LSTM) is used to find the demand forecasting of spend and quantity using time lags. …"
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  6. 226

    A Multi-Channel Convolutional Neural Network approach to automate the citation screening process حسب Raymon van Dinter (10521952)

    منشور في 2021
    "…This study aims to automate the citation screening process using Deep Learning algorithms. With this, it is aimed to reduce the time and costs of the citation screening process and increase the precision and recall of the relevant primary studies. …"
  7. 227

    Systematic reviews in sentiment analysis: a tertiary study حسب Alexander Ligthart (14150871)

    منشور في 2022
    "…According to this analysis, LSTM and CNN algorithms are the most used deep learning algorithms for sentiment analysis.…"
  8. 228

    Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St... حسب Mohamed Elsayed Saad Aboudonya (18466385)

    منشور في 2024
    "…The multidisciplinary resuscitation teams were observed during the cardiac arrest mock drills both before and after conducting the multidisciplinary resuscitation simulation-based training program and the introduction of the maternal resuscitation algorithm pathway against seven KPIs. Those KPIs were Time to Confirm Cardiac Arrest; Code Blue and /or Code White Activation Time; Time to attempt first chest compression; Defibrillator Arrival Time; Time to First Defibrillation shock; Code blue/code white arrival time and Time to perform Perimortem Caesarean Delivery.…"
  9. 229

    Computation of conformal invariants حسب Mohamed M.S., Nasser

    منشور في 2020
    "…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …"
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    article
  10. 230

    Communications in electronic textile systems حسب Nakad, Z.

    منشور في 2017
    "…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …"
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    Computation of conformal invariants حسب Mohamed M.S. Nasser (16931772)

    منشور في 2021
    "…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …"
  13. 233

    Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE حسب ULLAH, SAAD

    منشور في 2022
    "…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …"
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  14. 234

    A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security حسب Shitharth Selvarajan (14157976)

    منشور في 2024
    "…The novel contribution of this work is to incorporate the operations of Rabin digital data signature generation, DIDLT‐based blockchain construction, and BCA algorithms for ensuring overall data security in IoT networks. …"
  15. 235

    Downlink channel estimation for IMT-DS حسب Faisal, S.

    منشور في 2001
    "…IMT-DS system is an approved terrestrial radio interface standard for 3G mobile communication based on direct sequence code division multiple access (DS-CDMA). It employs a RAKE receiver to exploit multipath diversity. …"
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  17. 237

    Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3 حسب Chakar, Joseph

    منشور في 2020
    "…Deep learning algorithms have demonstrated remarkable performance in many sectors and have become one of the main foundations of modern computer-vision solutions. …"
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  18. 238

    Leveraging UAVs for Coverage in Cell-Free Vehicular Networks حسب Samir, Moataz

    منشور في 2020
    "…To address these challenges, we formulate the trajectories decisions making as a Markov decision process where the system state space considers the vehicular network dynamics. Then, we leverage deep reinforcement learning to propose an approach for learning the optimal trajectories of the deployed UAVs to efficiently maximize the coverage, where we adopt Actor-Critic algorithm to learn the vehicular environment and its dynamics to handle the complex continuous action space. …"
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  19. 239

    Dynamic multiple node failure recovery in distributed storage systems حسب Itani, May

    منشور في 2018
    "…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …"
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  20. 240

    Deepfakes Signatures Detection in the Handcrafted Features Space حسب Hamadene, Assia

    منشور في 2023
    "…In the Handwritten Signature Verification (HSV) literature, several synthetic databases have been developed for data-augmentation purposes, where new specimens and new identities were generated using bio-inspired algorithms, neuromotor synthesizers, Generative Adversarial Networks (GANs) as well as several deep learning methods. …"
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