بدائل البحث:
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
pelt algorithm » deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
develop » developed (توسيع البحث)
element » elements (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
pelt algorithm » deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
develop » developed (توسيع البحث)
element » elements (توسيع البحث)
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21
Starvation Problem in CPU Scheduling for Multimedia Systems
منشور في 2002"…Multimedia applications have timing requirements that cannot generally be satisfied using the time-sharing algorithms of general-purpose operating systems. Integrating discrete and continuous data of digital audio and video requires additional services from operating systems, especially handling of time-constrained characteristics of continuous media data, which poses a real-time characteristics on the underlying scheduler. …"
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article -
22
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23
Deep Reinforcement Learning for Resource Constrained HLS Scheduling
منشور في 2022"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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masterThesis -
24
Scheduling and allocation in high-level synthesis using stochastic techniques
منشور في 2020"…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …"
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article -
25
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
منشور في 2022"…Therefore, this paper proposes a clustering and stochastic optimization methodology to handle the various challenges of OCA planning and scheduling. A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …"
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26
A Micro-Economics Approach for Scheduling in CDMA Networks with End-to-End QoS Guarantees
منشور في 2007"…To efficiently utilize the available radio resources, we propose a new scheduling algorithm based on techniques from micro-economics. …"
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conferenceObject -
27
An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network
منشور في 2020"…Among these parameters are the variability of vehicles availability and their computational power, the individual tasks’ weighted priorities and their deadlines, the tasks required computational power as well as the required data to upload/download. This article proposes an infrastructure-assisted task scheduling scheme where the roadside unit receives computational tasks from different sources and schedules these tasks over a computationally capable vehicle residing within the roadside unit’s range. …"
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article -
28
An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure
منشور في 2020احصل على النص الكامل
doctoralThesis -
29
Spider monkey optimizations: application review and results
منشور في 2024"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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30
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31
Big Data Energy Management, Analytics and Visualization for Residential Areas
منشور في 2020"…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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article -
32
XBeGene: Scalable XML Documents Generator by Example Based on Real Data
منشور في 2012"…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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conferenceObject -
33
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
منشور في 2020"…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …"
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article -
34
Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks
منشور في 2013"…The cluster heads receive the data on the long-range LTE links, either via unicasting or multicasting. …"
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article -
35
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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article -
36
A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
منشور في 2024"…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …"
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37
Brain Source Localization in the Presence of Leadfield Perturbations
منشور في 2015احصل على النص الكامل
doctoralThesis -
38
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"
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39
A Framework for Predictive Modeling in Sustainable Projects
منشور في 2012احصل على النص الكامل
doctoralThesis -
40
Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"