Search Results - (( usage evaluation path algorithm ) OR ( java application learning algorithm ))
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The impact of clustering on the average path length in wireless sensor networks
Published 2015“…This property is evaluated by comparing the performance of several clustering algorithms with respect to the average path length. …”
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A review on path collisions and resources usage in hybrid optical network on chip (HONoC)
Published 2015“…The purpose of this paper is to evaluate main problems in HONoC. From the evaluation, three main problems has been identified which are path collisions, low resource usage and high power consumption in HONoC.…”
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Adaptable decentralized orchestration engine for block structured non-transactional workflow in service oriented architecture.
Published 2011“…Evaluations of the three adaptability aspects in the ADWEF demonstrate that the frequent-path adaptability greatly improves response-time, throughput, and bandwidth-usage of decentralized business processes. …”
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A review on path collisions and resources usage in hybrid optical Network on Chip (HONoC)
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Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari
Published 2015“…Previous researches concentrated on using static algorithms to find the shortest path in VTRSs. However, providing a shortest path without considering other factors such as congestion, accidents, obstacles, travel time and speed is not a proper solution for vehicle traffic congestion problem. …”
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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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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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Modelling and Optimization of Asymmetric Vehicle Routing Problem Using Particle Swarm Optimization Algorithm
Published 2021“…Specific optimization model and algorithm were developed to solve the problem. This intensive effort aims to reduce logistics costs and number of vehicle usage. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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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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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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Green vehicle traffic routing system using ant-based algorithm
Published 2015“…Experimental results conducted on three different scenarios (i.e. various vehicle densities, system usage rates and accident condition) considering average travel time, travel speed, travel distance and fuel consumption as evaluation metrics. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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