Browsing by Subject "Experimental evaluation"
Now showing items 1-20 of 49
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Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification
(2021)Online novelty detection is an emerging task in Edge Computing trying to identify novel concepts in contextual data streams which should be incorporated into predictive analytics and inferential models locally executed on ... -
A communication-aware energy-efficient graph-coloring algorithm for VM placement in clouds
(2018)The problem of virtual machine (VM) consolidation has received a lot of attention over the past years. Most of the proposed techniques tackling the VM consolidation problem focus on energy consumption ignoring the network ... -
A comparative assessment of machine learning algorithms for events detection
(2019)Nowadays, one can observe massive amount of data production by numerous devices interacting with their environment and end users. [1] Such data can be the subject of advanced processing usually through machine learning ... -
Computational methods and optimizations for containment and complementarity in web data cubes
(2018)The increasing availability of diverse multidimensional data on the web has led to the creation and adoption of common vocabularies and practices that facilitate sharing, aggregating and reusing data from remote origins. ... -
Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections
(2020)Short text clustering is a popular problem that focuses on the unsupervised grouping of similar short text documents, or entitled entities. Since the short texts are currently being utilized in a vast number of applications, ... -
Data Fusion and Type-2 Fuzzy Inference in Contextual Data Stream Monitoring
(2017)Data stream monitoring provides the basis for building intelligent context-aware applications over contextual data streams. A number of wireless sensors could be spread in a specific area and monitor contextual parameters ... -
Data Replication and Virtual Machine Migrations to Mitigate Network Overhead in Edge Computing Systems
(2017)Several virtual machine (VM) placement algorithms have been proposed and studied in the literature with various scopes such as server consolidation or network cost minimization. In most cases, decisions on VM migrations ... -
Data stream processing at network edges
(2018)This paper studies the problem of finding an assignment of data stream processing components onto servers under the objective to minimize both energy consumption and average delay experienced by end users within the system. ... -
Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge
(2022)Tasks allocation at the edge of the network is a significant research topic for the upcoming new era of the intelligent edge mesh. One can easily detect interesting attempts to define novel algorithms for distributing tasks ... -
A demand-driven, proactive tasks management model at the edge
(2020)Tasks management is a very interesting research topic for various application domains. Tasks may have the form of analytics or any other processing activities over the available data. One of the main concerns is to efficiently ... -
Distributed Localized Contextual Event Reasoning under Uncertainty
(2017)We focus on Internet of Things (IoT) environments where sensing and computing devices (nodes) are responsible to observe, reason, report, and react to a specific phenomenon. Each node (e.g., an unmanned vehicle or an ... -
Effective Unsupervised Matching of Product Titles with k-Combinations and Permutations
(2018)The problem of matching product titles is of particular interest for both users and marketers. The former, frequently search the Web with the aim of comparing prices and characteristics, or obtaining and aggregating ... -
Efficient computation of containment and complementarity in RDF data cubes
(2016)Multidimensional data are published in the web of data under common directives, such as the Resource Description Framework (RDF). The increasing volume and diversity of these data pose the challenge of finding relations ... -
Enabling wireless LAN troubleshooting
(2015)Particular WLAN pathologies experienced in realistic scenarios are hard to detect, due to the complex nature of the wireless medium. Prior work has employed sophisticated equipment, driver modifications, or even application-layer ... -
Experimental evaluation of orchestration software for virtual network functions
(2021)The adoption of Network Functions Virtualization (NFV) is considered as one of the enablers for a fully softwarized 5G architecture, that allows significantly higher flexibility for network service providers to instantiate ... -
Experimental evaluation of strut-and-tie model of indeterminate deep beam
(2014)An experimental study was performed to determine the accuracy of designing a statically indeterminate deep beam with three openings using the strut-and-tie modeling method in accordance with Appendix A of ACI 318-08. In ... -
Extended characteristic sets: Graph indexing for SPARQL Query Optimization
(2017)SPARQL query execution in state of the art RDF engines depends on, and is often limited by the underlying storage and indexing schemes. Typically, these systems exhaustively store permutations of the standard three-column ... -
Fake injection strategies for private phonetic matching
(2012)In many aspects of everyday life, from education to health care and from economics to homeland security, information exchange involving companies or government agencies has become a common application. Locating the same ... -
Hybrid Time-series Representation for the Classification of Driving Behaviour
(2020)The classification of driving behaviour is important for monitoring driving risk and fuel efficiency, as well as for providing a personalized view, or 'fingertip', of each driver, useful in driving assistance and car ... -
An Image-Based Approach for Classification of Driving Behaviour Using CNNs
(2021)In this work we present an approach for the classification of driving behaviour using Convolutional Neural Networks (CNNs), based on measurements that have been obtained by the internal CAN-bus of the vehicle. As is the ...