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1
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…”
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2
A low degree vertex elimination with high degree vertex selection heuristic for strongly connected dominating and absorbent sets in wireless Ad-Hoc networks. (c2011)
Published 2016“…We introduce a new heuristic approach based on a hybrid of low-degree vertex elimination and high-degree vertex selection. Experimental results show that our approach outperforms all previously known algorithms for the SCDAS problem.…”
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masterThesis -
3
A degree-based heuristic for strongly connected dominating-absorbent sets in wireless ad-hoc networks
Published 2017“…We introduce a hybrid heuristic for this problem, in which we combine low-degree vertex elimination and high-degree vertex selection. This simple and efficient method yields very promising experimental results, outperforming known heuristic algorithms.…”
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4
Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
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doctoralThesis -
5
Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
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doctoralThesis -
6
Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
Published 2004“…In this work, a fast hybrid algorithm is designed to address this problem. The algorithm employs simulated evolution (SE), an iterative search heuristic that comprises three steps: evaluation, selection and allocation. …”
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7
Uplink Noma in UAV-Assisted IoT Networks
Published 2022“…The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …”
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masterThesis -
8
Structural similarity evaluation between XML documents and DTDs
Published 2007“…Nonetheless, several operations based on the structure of XML data have not yet received strong attention. Among these is the process of matching XML documents with XML grammars, useful in various applications such as documents classification, retrieval and selective dissemination of information. …”
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conferenceObject -
9
Modelling of pollutant transport in compound open channels
Published 1998“…The study investigates the impact on the mixing processes of strong lateral momentum transfer effects associated with severely compound flow fields. …”
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masterThesis -
10
Finetuning Analytics Information Systems for a Better Understanding of Users: Evidence of Personification Bias on Multiple Digital Channels
Published 2023“…The results show that despite using the same data and algorithm, varying the number of personas strongly biases the information system’s personification of the user population. …”
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Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review
Published 2025“…Two reviewers independently conducted study selection, data extraction, and risk of bias assessment. …”
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Approximate XML structure validation based on document–grammar tree similarity
Published 2015“…Comparing XML documents with XML grammars, also known as XML document and grammar validation, is useful in various applications such as: XML document classification, document transformation, grammar evolution, XML retrieval, and the selective dissemination of information. While exact (Boolean) XML validation has been extensively investigated in the literature, the more general problem of approximate (similarity-based) XML validation, i.e., document–grammar similarity evaluation, has not yet received strong attention. …”
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13
Approximate XML structure validation technical report
Published 2014“…Comparing XML documents with XML grammars, also known as XML document and grammar validation, is useful in various scenarios and applications such as: XML document classification, document transformation, grammar evolution, XML retrieval, and the selective dissemination of information. While exact (Boolean) XML validation has been extensively investigated in the literature, the more general problem of approximate (similarity-based) XML validation, i.e., document-grammar similarity evaluation, has not yet received strong attention. …”
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