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Showing 61 - 80 results of 93 for search '(((( data code algorithm ) OR ( data scheduling algorithm ))) OR ( element mold algorithm ))', query time: 0.09s Refine Results
  1. 61
    Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE

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

    Published 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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  2. 62
    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 Study

    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... by Mohamed Elsayed Saad Aboudonya (18466385)

    Published 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.…”
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  3. 63
    Evacuation of a highly congested urban city

    Evacuation of a highly congested urban city by El Khoury, John

    Published 2017
    “…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …”
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  4. 64
    Computation of conformal invariants

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

    Published 2020
    “…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …”
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  5. 65
    ISSP

    ISSP by Zouein, P.P.

    Published 2017
    “…Many decision-support tools were developed to assist planners in space scheduling but these were limited to providing the user with a platform that ties spatial and temporal data in the project and left it up to the user to decide on positions of resources and schedule adjustments to solve spatial conflicts that may arise in the process of constructing site layouts over time.The ISSP system, presented here, provides a graphical user-interactive interface with underlying layout and scheduling algorithms that construct feasible layout and schedule solutions under 2-dimensional spatial constraints between resources. …”
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  6. 66
    Assigning proctors to exams using scatter search. (c2006)

    Assigning proctors to exams using scatter search. (c2006) by Zeidan, Moujab Moustapha

    Published 2006
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  7. 67
    Computation of conformal invariants

    Computation of conformal invariants by Mohamed M.S. Nasser (16931772)

    Published 2021
    “…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …”
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  8. 68
    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem

    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Abu Zitar, Raed

    Published 2021
    “…Moreover, the results achieved by modified CHIOare compared against the results of other 13 well-regarded algorithms. For the first data set, the modifiedCHIO is able to gain the same results as the other comparative methods in two out of ten instances andacceptable results in the rest. …”
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  9. 69
    A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security

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

    Published 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. …”
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  10. 70
    FoGMatch

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…Simulation results reveal that our solution outperforms the two common scheduling algorithms (i.e., Min-Min and Max-Min) in terms of IoT services execution makespan, fog nodes resource utilization efficiency and execution time.…”
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  11. 71
    Downlink channel estimation for IMT-DS

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

    Published 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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  12. 72
    Establishing Autonomous AUS-Quadrotor

    Establishing Autonomous AUS-Quadrotor by Al Younes, Younes

    Published 2009
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  13. 73
    Dynamic multiple node failure recovery in distributed storage systems

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

    Published 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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  14. 74
    WiMAX Models for the Smart Grid

    WiMAX Models for the Smart Grid by Al-Omar, Ban Abdul Elah

    Published 2014
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  15. 75
    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions

    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

    Published 2022
    “…These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …”
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  16. 76
    Machine Learning-Based Approach for EV Charging Behavior

    Machine Learning-Based Approach for EV Charging Behavior by Shahriar, Sakib

    Published 2021
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  17. 77
    AI-based remaining useful life prediction and modelling of seawater desalination membranes

    AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

    Published 2024
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  18. 78
    Uplink Noma in UAV-Assisted IoT Networks

    Uplink Noma in UAV-Assisted IoT Networks by Mrad, Ali

    Published 2022
    “…The first part of the thesis considers the problem of data collection from time-constrained IoT devices through deploying a UAV with uplink NOMA. …”
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  19. 79
    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model

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

    Published 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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  20. 80
    Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)

    Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR) by Elaine Beller (44602)

    Published 2018
    “…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …”
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