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A comprehensive hyperledger fabric performance evaluation based on resources capacity planning
Hyperledger Fabric is a platform for permissioned blockchain networks that enables secure and auditable distributed data storage for enterprise...
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Application of hybrid capsule network model for malaria parasite detection on microscopic blood smear images
Today, malaria is a dangerous disease caused by Plasmodium parasites and transmitted by the bite of Anopheles mosquitoes. It is estimated that more...
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From network traffic data to business activities: a conceptualization and a recognition approach
Event logs are the main source for business process mining techniques. However, readily available logs are produced only by part of the existing...
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Data Clustering Approach on the Basis of Data Sensitivity for Implementation of Secure Cloud Computing Environment
In the work illustrated, an effective approach has been proposed for handling data for the cloud computing environment. Here, the sensitivity of data...
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Logic-Based Ethical Planning
In this paper we propose a framework for ethical decision-making in the context of planning, with intended application to robotics. We put forward a...
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Resource optimization in performance modeling for serverless application
Recently, serverless applications and serverless computing have gained popularity due to their pay-as-you-go billing mechanism, high scalability,...
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Resource Planning in Workflow Nets Based on a Symbolic Time Constraint Propagation Mechanism
The main proposal of this work is to present an approach based on the formalism of Petri nets in order to describe the time constraints of resources...
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A survey of model compression strategies for object detection
Deep neural networks (DNNs) have achieved great success in many object detection tasks. However, such DNNS-based large object detection models are...
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The Improved Framework for Traffic Sign Recognition Using Guided Image Filtering
In the lighting conditions such as hazing, raining, and weak lighting condition, the accuracy of traffic sign recognition is not very high due to...
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Optimizing the Solution Quality of Metaheuristics Through Process Mining Based on Selected Problems from Operations Research
Methods from Operations Research (OR) are employed to address a diverse set of Business Process Management (BPM) problems such as determining optimum...
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Investigating the Impact of a Low-Rank Tensor-Based Approach on Deforestation Imagery
In this work we handle deforestation as a semantic segmentation problem using convolution-free methods, specifically tensor-based neural networks....
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An integer linear programming model to improve the dependency graph discovery step of heuristics miner methods
Heuristic mining techniques are among the most popular methods in the process discovery area. This category of methods is composed of two main steps:...
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Weakly Supervised Image Matting via Patch Clustering
Image matting aims to extract the accurate foreground opacity mask for a given image. State-of-the-art approaches are usually based on...
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High fidelity virtual try-on network via semantic adaptation and distributed componentization
Image-based virtual try-on systems have significant commercial value in online garment shop**. However, prior methods fail to appropriately handle...
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COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models
The three-dimensional information in CT scans reveals notorious findings in the medical context, also for detecting symptoms of COVID-19 in chest CT...
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A systematic review for smart identifier networking
The current Internet has revealed numerous shortcomings due to the limitations in its original design, and is being challenged by the user’s...
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Dataset Related Experimental Investigation of Chess Position Evaluation Using a Deep Neural Network
The idea of training Artificial Neural Networks to evaluate chess positions has been widely explored in the last ten years. In this paper we...
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A performance evaluation model for users’ satisfaction in federated clouds
Cloud federation has been proposed as a new model enabling Cloud providers to cooperate and exchange resources among multiple Clouds to provide...
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Automated semantic lung segmentation in chest CT images using deep neural network
Lung segmentation algorithms play a significant role in segmenting theinfected regions in the lungs. This work aims to develop a computationally...
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Results on the realization of Boolean control networks by the vertex partition method
Realization problems, including the minimum realization of Boolean control networks (BCNs), are investigated by the vertex partition method. A...