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A clustering allocation and scheduling analysis approach for multiprocessor dependent real-time tasks
The ultimate objective in this paper is to propose a new method for dependent tasks clustering by considering the inter-tasks …
Walid Karamti
,
Adel Mahfoudhi
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DOI
Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique
Standard inspections of buildings are not always possible because of human flaws in prediction. Hence, we need more stable, scalable, …
Walid Karamti
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DOI
An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem
The multiperiodic crowd tracking (MPCT) problem is an extension of the periodic crowd tracking (PCT) problem, recently addressed in the …
Skander Htiouech
,
Khalil Chebil
,
Mahdi Khemakhem
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DOI
Optimal network-aware virtual data center embedding
Recently, the virtual data center embedding (VDCE) problem has drawn significant attention because of a growing need for efficient …
Mahdi Khemakhem
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DOI
Systematic review of co-design in digital health for COVID-19 research
Improving the quality of digital health care through information and communication technology can mainly contribute to the clinical, …
Molka Rekik
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DOI
Letter to the Editor: FHIR RDF - Why the world needs structured electronic health records
This comment discusses the benefits of representing and reusing the information in Electronic Health Record databases as knowledge …
Mohamed Ali Hadj Taieb
,
Mohamed Ben Aouicha
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DOI
Detecting Anomalies in Network Communities Based on Structural and Attribute Deviation
Anomaly detection in online social networks (OSNs) is an important data mining task that aims to detect unexpected and suspicious …
Walid Karamti
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DOI
Fraud Detection Using Large-scale Imbalance Dataset
In the context of machine learning, an imbalanced classification problem states to a dataset in which the classes are not evenly …
Boulbaba Ben Ammar
,
Mohamed Ben Aouicha
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Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata
Urgent global research demands real-time dissemination of precise data. Wikidata, a collaborative and openly licensed knowledge graph …
Mohamed Ali Hadj Taieb
,
Mohamed Ben Aouicha
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DOI
Awakening sleeping beauties during the COVID-19 pandemic influences the citation impact of their references
In this research letter, we build upon recent studies about the sleeping beauties awakened by the COVID-19 pandemic. We prove that a …
Mohamed Ali Hadj Taieb
,
Mohamed Ben Aouicha
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DOI
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