Search Results - (( parameter evaluation protocol algorithm ) OR ( java simulation optimization algorithm ))
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Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network
Published 2017“…By applying the proposed algorithm, the throughput of EDCA protocol was increased by 42.9% and it can support 14 voice users rather than 11 in the default EDCA protocol. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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New synchronization protocol for distributed system with TCP extension
Published 2013“…According to previous researches that evaluated performance to measure faulttolerance in this thesis, the network performances are evaluated and compared. …”
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Routine insulin sliding scale protocol versus software driven algorithm (star protocol) for blood glucose management of critically ill patients in the ICU: A prospective observatio...
Published 2018“…The objective of the study was to evaluate a specifically designed software driven algorithm for the establishment of tight glycaemic control with lesser risks of potentially harmful hypoglycaemia in critically ill patients in the ICU and to compare the results with the routine glucose management protocol i.e. insulin sliding scale, used by the ICU in UMMC. …”
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Efficient and scalable ant colony optimization based WSN routing protocol for IoT
Published 2020“…The proposed routing algorithm is simulated using MATLAB for performance evaluations. …”
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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Assessing the efficacy of machine learning algorithms for syncope classification: A systematic review
Published 2024“…The aims of the study were to systematically evaluate available machine learning (ML) algorithm for supporting syncope diagnosis to determine their performance compared to existing point scoring protocols. …”
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Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network
Published 2020“…The comparison-based simulation of both default and modified routing protocols is carried out under certain performance parameters; Packet Delivery Ratio (PDR), Average End-to-End Delay (AE2ED), Normalized Routing Load (NRL), Average number of MPR, and Stability. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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An optimized aggregate marker algorithm for bandwidth fairness improvement in classifying traffic networks
Published 2016“…Additionally, the assured service is designed for applications relying on the Transmission Control Protocol (TCP). This article analyses and evaluates a new time sliding window traffic marker algorithm called the Optimized time sliding window Three Colour Marker (OtswTCM). …”
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Impact of low-dose protocols on computed tomography of lung cancer screening on the intrinsic performance metrics: a phantom study
Published 2023“…Introduction: This research aims to assess the task-based performance of low dose CT lung examination with different acquisition parameters, evaluate the acquisition parameters of lung cancer in low dose CT lung examination, and explore the effect of the iterative reconstruction (IR) algorithm on the image quality of low dose CT for CT lung examination. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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The impact of tube current and iterative reconstruction algorithm on dose and image quality of infant CT head examination
Published 2022“…Hence, optimization of CT acquisition parameter should be evaluated and monitored accordingly.…”
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The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed
Published 2024“…High quality of service (QoS) requires monitoring and controlling parameters such as delay and throughput. Due to network complexity, conventional QoS-improving routing algorithms (RAs) may be impractical. …”
Conference Paper -
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Improving performance of mobile ad hoc networks using efficient Tactical On Demand Distance Vector (TAODV) routing algorithm
Published 2012“…In this paper, we present the design and performance evaluation of a new efficient on demand routing protocol for mobile ad-hoc networks. …”
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Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
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Development Of An Automatic Calculation Method For Ct Dose Estimation Based On Individual Specific Size In Paediatric Population
Published 2022“…This study aims to evaluate the current paediatric CT protocols and associated dose received by paediatric from CT scans. …”
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