Results 31 to 40 of about 524,719 (351)
Scientific Reports, 2023 In this study, we present a comprehensive approach for predicting the remaining useful life (RUL) of aircraft engines, incorporating advanced feature engineering, dimensionality reduction, feature selection techniques, and machine learning models.
Yazan Alomari, M. Andó, M. Baptista
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Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification [PDF]
Expert systems with applications, 2022 Machine learning has become an appealing signature-less approach to detect and classify malware because of its ability to generalize to never-before-seen samples and to handle large volumes of data.
Daniel Gibert +3 more
semanticscholar +1 more source
Taxonomy-aware feature engineering for microbiome classification
BMC Bioinformatics, 2018 Background What is a healthy microbiome? The pursuit of this and many related questions, especially in light of the recently recognized microbial component in a wide range of diseases has sparked a surge in metagenomic studies.
Mai Oudah, Andreas Henschel
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Malware Detection Based on API Sequence Feature Engineering and Feature Learning [PDF]
Jisuanji kexueAPI sequence-based malware analysis methods can effectively capture the behavioral characteristics of programs during runtime.However,existing detection approaches typically focus solely on API names while neglecting parameters and return values,or fail ...
YANG Yizhe, LU Tianliang, PENG Shufan, LI Xiaolin
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Investigation of Feature Engineering Methods for Domain-Knowledge-Assisted Bearing Fault Diagnosis
Entropy, 2023 The engineering challenge of rolling bearing condition monitoring has led to a large number of method developments over the past few years. Most commonly, vibration measurement data are used for fault diagnosis using machine learning algorithms.
Christoph Bienefeld +3 more
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A conceptual basis for feature engineering
Journal of Systems and Software, 1999 Abstract The gulf between the user and the developer perspectives lead to difficulties in producing successful software systems. Users are focused on the problem domain, where the system's features are the primary concern. Developers are focused on the solution domain, where the system's life-cycle artifacts are key.
C. R. TURNER +3 more
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Applied Sciences, 2023 In light of the escalating ubiquity of the Internet, the proliferation of cyber-attacks, coupled with their intricate and surreptitious nature, has significantly imperiled network security.
YuJie Zhang, Zebin Wang
semanticscholar +1 more source
Exploring Feature Engineering Strategies for Improving Predictive Models in Data Science
Research journal of computer systems and engineering, 2023 A crucial step in the data science pipeline, feature engineering has a big impact on how well predictive models function. This study explores several feature engineering techniques and how they affect the robustness and accuracy of models.
Ekaterina Katya
semanticscholar +1 more source
Feature-based Virtual Engineering
, 2022 S.19-39In this paper the concept of Feature-based Virtual Engineering is presented as an approach to the integrated product development. The focus of the paper is on presenting the current state of our approach towards a feature-based parametric ...
Brunetti, G.
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BioMedical Engineering OnLine, 2023 Background This study aimed to develop a pipeline for selecting the best feature engineering-based radiomic path to predict epidermal growth factor receptor (EGFR) mutant lung adenocarcinoma in 18F-fluorodeoxyglucose (FDG) positron emission tomography ...
Zefeng Liu +5 more
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