يعرض 61 - 80 نتائج من 99 نتيجة بحث عن '(( elements mean algorithm ) OR ((( data code algorithm ) OR ( based 3d algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
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    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.…"
  3. 63

    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
  4. 64

    Forward simulation of three-dimensional advection-diffusion using a fundamental solution for a linear flow حسب Wehbe, Rawan

    منشور في 2022
    "…A novel Lagrangian-based algorithm is presented for tracking a patch of a passive tracer that evolves according to the 3D advection diffusion equation with a general steady velocity. …"
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    masterThesis
  5. 65

    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. …"
  6. 66

    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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  7. 67

    Scatter search for homology modeling حسب Mansour, Nashat

    منشور في 2016
    "…However this technique suffers from poor initial target-template alignments. To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. …"
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    conferenceObject
  8. 68

    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. …"
  9. 69

    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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    article
  10. 70

    Computational evluation of protein energy functions حسب Mansour, Nashat

    منشور في 2014
    "…Also, we propose an approach based on a simulated annealing algorithm to find a better combination of energy terms, by assigning different weights to the terms, for the purpose of improving the capability of the computational prediction methods.…"
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  11. 71
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    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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    article
  13. 73

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

    منشور في 2019
    "…Despite having different performance results on predicting failures, most of the models produced close outcomes. Meaning no “perfect” machine learning algorithm that will produce good results at particular problem, in fact for each type of problem a specific algorithm is suited and might achieves good outcome, while another algorithm fails heavily. …"
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  14. 74

    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model حسب Ramesh Sundar (19326046)

    منشور في 2024
    "…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …"
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    Automated quantification of penile curvature using artificial intelligence حسب Tariq O. Abbas (11247771)

    منشور في 2022
    "…<h3>Objective</h3><p dir="ltr">To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images.…"
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    Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array حسب Amran Hossain (570706)

    منشور في 2022
    "…<p dir="ltr">In this paper, proposes a microwave brain imaging system to detect brain tumors using a metamaterial (MTM) loaded three-dimensional (3D) stacked wideband antenna array. The antenna is comprised of metamaterial-loaded with three substrate layers, including two air gaps. …"
  20. 80

    Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends حسب Abdellatif M. Sadeq (16931841)

    منشور في 2024
    "…<p dir="ltr">Studying the spatial and temporal evolution in turbulent flames represents one of the most challenging problems in the combustion community. Based on previous 3D numerical analyses, this study aims to develop data-driven machine learning (ML) models for predicting the flame radius evolution and turbulent flame speeds for diesel, gas-to-liquids (GTL), and their 50/50 blend (by volumetric composition) under different thermodynamic and turbulence operating conditions. …"