يعرض 121 - 140 نتائج من 172 نتيجة بحث عن '(((( data code algorithm ) OR ( optimal scheduling algorithm ))) OR ( elements method algorithm ))*', وقت الاستعلام: 0.09s تنقيح النتائج
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  4. 124

    An innovative simulated annealing approach to the long-term hydroscheduling problem حسب Mantawy, A.H.

    منشور في 2001
    "…This paper presents a new simulated annealing algorithm (SAA) to solve the long-term hydro scheduling problem (LTHSP). …"
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    article
  5. 125

    A hybrid EDF/FIFO queue for efficient real time flow handling حسب Fawaz, W.

    منشور في 2006
    "…In an attempt to meet the stringent time constraints of real time flows, several scheduling algorithms have been proposed in the literature. …"
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  6. 126

    Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids حسب Shaaban, Mostafa

    منشور في 2019
    "…An outer sub-problem determines the locations and sizes of the DG units and charging stations using a non-dominated sorting Genetic algorithm (NSGA-II). Given the allocation and sizing decisions, an inner sub-problem ensures smart, reliable, and eco-friendly operation of the microgrid by solving a non-linear scheduling problem. …"
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    article
  7. 127

    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.…"
  8. 128

    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

    منشور في 2021
    "…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"
  9. 129

    A MIMO Sampling-Rate-Dependent Controller حسب Saab, Samer S.

    منشور في 2014
    "…Performance is compared to a PID controller with fuzzy gain scheduling, four multivariable PID controllers, an H ∞ optimal controller, and an iterative-learning-control algorithm.…"
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    article
  10. 130

    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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  11. 131

    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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  12. 132

    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. 133

    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. 134

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

    منشور في 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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  15. 135

    Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy حسب El-Ferik, S

    منشور في 2020
    "…Some useful properties of the cost function are developed to characterize the optimal policy. An algorithm is also proposed to find the optimal solutions to the problem at hand. …"
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    article
  16. 136

    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. …"
  17. 137

    Fixed set search applied to the multi-objective minimum weighted vertex cover problem حسب Raka Jovanovic (17947838)

    منشور في 2022
    "…In recent publications, its efficiency has been shown on different types of combinatorial optimization problems like routing, machine scheduling and covering. …"
  18. 138

    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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  19. 139

    Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids حسب Ahmed Ouammi (14151039)

    منشور في 2021
    "…<p>This paper presents a scheduling framework based algorithm for reducing/shaving the peak loads in a team of cooperating microgrids (TCM) powered smart buildings taking advantages of vehicle-to-building (V2B) concept and operational flexibilities of electric vehicles (EVs). …"
  20. 140

    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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