„Compilers“
Suchergebnisse
10.000+ Treffer
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Analyzing and mitigating (with LLMs) the security misconfigurations of Helm charts from Artifact Hub
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Ontology-based security modeling in ArchiMate
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An unsupervised learning-guided multi-node failure-recovery model for distributed graph processing systems
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A conceptual model for unifying variability in space and time: Rationale, validation, and illustrative applications
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Recognition of food type and calorie estimation using neural network
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RaQuN: a generic and scalable n-way model matching algorithm
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Characteristics, potentials, and limitations of open-source Simulink projects for empirical research
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A systematic review of the literature on recent trends in dynamic combinatorial optimization problems linked to meta-learning in metaheuristics and quantum computing
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Detecting cross-case associations in an event log: toward a pattern-based detection
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What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes
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Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
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Understanding human emotions through speech spectrograms using deep neural network
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Polar IFS+Parisian Genetic Programming=Efficient IFS Inverse Problem Solving
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Software variability in service robotics
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Improved authentication and computation of medical data transmission in the secure IoT using hyperelliptic curve cryptography
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Thomas Jansen: Analyzing Evolutionary Algorithms: The Computer Science Perspective – Springer, 2013, 255 pp, ISBN: 978-3-642-17338-7
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Franz Rothlauf: Design of Modern Heuristics – Springer, 2011, ISBN 978-3-540-72961-7
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Andrew Adamatzky: Physarum Machines: Computers from Slime Mould – World Scientific Publishing, 2010, ISBN: 978-981-4327-58-9
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Alma Lilia Garcia Almanza, and Edward Tsang: Evolutionary applications for financial prediction: classification methods to gather patterns using genetic programming – VDM Verlag Dr. Müller, 2011, ISBN: 978-3639307672
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Moshe Sipper: Evolved to Win – ISBN: 978-1-4709-7283-7