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Sahand: A Software Fault-Prediction Method Using Autoencoder Neural Network and K-Means Algorithm
Software is playing a growing role in many safety-critical applications, and software systems dependability is a major concern. Predicting faulty...
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Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm
Software defect prediction has caused widespread concern among software engineering researchers, which aims to erect a software defect prediction...
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Development of music teaching software based on neural network algorithm and user analysis
At this stage, music teaching is facing an increasingly serious shortage of teacher resources. Therefore, it is particularly important to develop a...
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A Controller Placement Algorithm Using Ant Colony Optimization in Software-Defined Network
Software Defined Network (SDN) which is labeled as a new network archetype that decouples the data plane and control plane is capable to solve...
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Enhancing dimensional accuracy in 3D printing: a novel software algorithm for real-time quality assessment
Notably, despite the widespread application of 3D printing technology across diverse industries, issues like dimensional variations continue to limit...
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Improved Dwarf Mongoose Optimization Algorithm for Feature Selection: Application in Software Fault Prediction Datasets
Feature selection (FS) plays a crucial role in pre-processing machine learning datasets, as it eliminates redundant features to improve...
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TDCA: improved optimization algorithm with degree distribution and communication traffic for the deployment of software components based on AUTOSAR architecture
Automotive Open System Architecture (AUTOSAR), as an open, standardized framework for automotive electronic software development, has gradually...
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Application Layer Load Balancing in Software Defined Networking Using Priority Based Round Robin Scheduling Algorithm
Advancement in internet technology provides both real-time and non-real time data services to the client. In the conventional network architecture...
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Algorithm and Software for Achromatic Doublet Synthesis
Robotics uses imaging applications on large scale. The optical components associated with cameras must provide high quality images, using assemblies... -
A Novel Metaheuristic Based Method for Software Mutation Test Using the Discretized and Modified Forrest Optimization Algorithm
The number of detected bugs by software test data determines the efficacy of the test data. One of the most important topics in software engineering...
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A Hierarchical Algorithm for In-city Parking Allocation Based on Open Street Map and AnyLogic Software
Routing and parking problems are considered a real challenge in the populated cities. An intelligent routing and parking algorithm is needed to...
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An algorithm to improve quality of service for software-defined networking
Fifth generation (5G) technology aims to provide superior services, such as high data rates, reduced delays, increased capacity, and a shift away...
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ASTPPO: A proximal policy optimization algorithm based on the attention mechanism and spatio–temporal correlation for routing optimization in software-defined networking
Currently, existing research on deploying deep reinforcement learning on software-defined networks (SDN) to achieve route optimization does not...
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Software and Hardware Cooperative Implementation of the Rafflesia Optimization Algorithm
With the development of edge technology in the fields of transportation, wireless sensor networks, and the internet of things, more and more... -
Particle swarm optimization and artificial bee colony algorithm for clustering and mobile based software-defined wireless sensor networks
With the development of the internet of things, people pay more and more attention to wireless sensor networks. Designing the energy efficient...
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A Source-code Aware Method for Software Mutation Testing Using Artificial Bee Colony Algorithm
The effectiveness of software test data relates to the number of found faults by the test data. Software mutation test is used to evaluate the...
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Performance evaluation of Software-Defined Network (SDN) controllers using Dijkstra’s algorithm
The advancement of technology, specifically the development of information technology (IT) has had a great influence on everyone life. Due to the...
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Algorithm and Software Implementation of Track Chain Automatic Assembly for Tracked Vehicle
With the high-speed improvement of computer processing speed and the continuous development of multibody dynamics commercial software, these... -
Software component reusability prediction using extra tree classifier and enhanced Harris hawks optimization algorithm
In software development industry, component based software development is an emerging research area which helps to characterize the quality of...
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Uncertain differential equation based software belief reliability growth model (SBRGM) considering software patching
Software reliability plays a vital role in the today’s world as dependency on software system increases day by day. To determine reliability, various...