Search Results - (( structures network scheduling algorithm ) OR ( java application learning algorithm ))
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A study on packet scheduling algorithms for healthcare contents over fifth generation (5G) mobile cellular network
Published 2020“…Moreover, the design of the renowned Time Division Multiple Access (TDMA) packet scheduling algorithms is revised to allow these algorithms to support packet scheduling in the downlink 5G. …”
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Comprehensive structure of novel voice priority queue scheduling system model for VoIP over WLANs
Published 2011“…This comprehensive structure of Novel Voice Priority Queue (VPQ) scheduling system model for VoIP over WLAN discusses the essential background of the VPQ schedulers and algorithms.This paper also identifies the importance of the scheduling techniques over WLANs.…”
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Comprehensive structure of novel voice priority queue scheduling system model for VoIP over WLANs
Published 2013“…The objectives of this paper are to identify scheduler issues.This comprehensive structure of Novel Voice Priority Queue (VPQ) scheduling system model for VoIP over WLAN discusses the essential background of the VPQ schedulers and algorithms.This paper also identifies the importance of the scheduling techniques over WLANs.…”
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Even-odd scheduling based energy efficient routing for wireless sensor network (WSN) / Muhammad Zafar Iqbal Khan
Published 2022“…It was also observed that the proposed routing algorithm outperforms the LEACH in network lifetime with 1697 rounds as compared to the original LEACH of with just 803 rounds. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…To achieve an optimum waiting and response time this thesis has proposed a new approach utilizing the aforementioned modelling, optimizing and partitioning algorithms. This approach has simulated on Alea v.4, which is a dedicated simulator for simulating exascale parallel scheduling. …”
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Adaptive resource allocation algorithms with QoS support in OFDMA-based WiMAX networks
Published 2014“…The aim of this thesis is to develop a fair and effi- cient packet scheduling and adaptive multiuser frequency-time domain resources allocation algorithms to support QoS for a diverse service class in OFDMA based IEEE 802.16 network. …”
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Enhancing quality of service in Multi-Radio Multi-Channel Wireless Mesh Networks
Published 2023“…It includes network structures, NED language for topology, and configuration files for tailored experiments. …”
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Urban transit network design problems: a review of population-based metaheuristics
Published 2016“…The urban transit network design problem (UTNDP) involves the development of a transit route set and associated schedules for an urban public transit system. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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High-throughput and energy-efficient Contiki MAC layer scheme in IEEE 802.15.4 for structural health monitoring
Published 2021“…Besides, the design concept of the frame structure, slot distribution, scheduling and all associated calculations are illustrated. …”
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Multi agent quality of service routing based on scheme ant colony optimization algorithm
Published 2014“…Therefore, an algorithm which can adaptively assign network resources to meet the QoS requirements of different classes simultaneously is still needed. …”
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Estimation of boiler's tubes life, Artificial Neural Networks approach / Murtadha F. Muhsen
Published 2011“…The accuracy of the mechanical state estimation (stresses, strains and displacements) mainly depends on the introduced constitutive equations and on the chosen structural analysis model. This paper is devoted to the prediction of boiler s tube life using of Artificial Neural Network (ANN) technique. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Emission and valve point loading cost using superiority of feasible solutions-moth flame optimization
Published 2023“…As part of the MATLAB development, SH-MFO is implemented on the IEEE-30 bus standard experiment structure network. When compared to the reliable outcomes produced by other algorithms, the current study employing SH-MFO estimates a Generation and Emission Costs 48.6827 /h for minimizing the different fuels, which ultimately proves to be the best value. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model
Published 2020“…Hence, in the present study, a hybrid RCM model was proposed to fill these gaps and find the optimal maintenance policies and scheduling by a combination of hybrid linguistic-failure mode and effect analysis (HL-FMEA), the co-evolutionary multi-objective particle swarm optimization (CMPSO) algorithm, an analytic network process (ANP), and developed maintenance decision tree (DMDT). …”
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