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Chapter Mapping submerged vegetation and water quality using multi- and hyperspectral imagery of Oristano Gulf (Italy)
Veröffentlicht 2025“… The main objective of this study is to test and apply algorithms to obtain bottom substrate, canopy cover together with water quality maps (e.g. …”
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Multi Agent Systems
Veröffentlicht 2025“… This book brings together researchers working in several fields that cover the techniques, the challenges and the applications of multi-agent systems in a wide variety of aspects related to learning algorithms for different devices such as vehicles, robots and drones, computational optimization to reach a more efficient energy distribution in power grids and the use of social networks and decision strategies applied to the smart learning and education environments in emergent countries. …”
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Current Research on Hyperspectral and Multispectral Imaging and Their Applications in Precision Agriculture Ⅱ
Veröffentlicht 2025“… However, data preprocessing, feature selection algorithms, sample quantity, classifiers, and accuracy assessment often vary based on different crops and HSI and MSI data sources. …”
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Application of the Bayesian Method in Statistical Modeling
Veröffentlicht 2025“… Named after Thomas Bayes, Bayes' theorem (1973) describes the conditional probability of an event based on data, as well as prior information or beliefs about the event or conditions related to the event. This approach differs from other interpretations of probability, such as the frequentist interpretation, which views probability as the limit of the relative frequency of an event after many trials. …”
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Query Optimization in Distributed Heterogeneous Data Stream Systems
Veröffentlicht 2025“… An evaluation compares the different algorithms. Moreover, I propose an algorithm for load balancing by multiple instantiation of operators. …”
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Simulating Triangulations: Graphs, Manifolds and (Quantum) Spacetime
Veröffentlicht 2025“… Additionally, some details about the Wang-Landau algorithm, which is the primary used numerical method in this thesis, will be examined in detail. …”
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Fundamentals and Applications of GNSS Reflectometry
Veröffentlicht 2025“… The data used in the theoretical modeling and algorithm performance simulation validation are both from experiments conducted by the authors' research team and from experiments carried out with partners, as well as results processed from publicly available datasets domestically and internationally. …”
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Tensor Network Contractions
Veröffentlicht 2021“… Varieties of tensor network algorithms have been proposed for different problems. …”
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Preparing for Life in a Digital World
Veröffentlicht 2021“… ICILS 2018 explores international differences in students’ computer and information literacy (CIL), namely their ability to use computers to investigate, create, and communicate at home, at school, in the workplace, and in the community. …”
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Modeling the Pāṇinian System of Sanskrit Grammar
Veröffentlicht 2021“… It puts forward an appropriate framework for such a representation. Differing from the formulation of Aṣṭādhyāyī, which is composed in an artificial yet natural language and is meant to be employed by individuals who are acquainted both with the Sanskrit language and the techniques of grammar, the present rendering aims for a non-verbal representation in terms of mathematical categories and logical relations which can be implemented in an algorithmic manner. …”
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Advances in Near Infrared Spectroscopy and Related Computational Methods
Veröffentlicht 2021Volltext
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Entropy Measures for Data Analysis: Theory, Algorithms and Applications
Veröffentlicht 2021Volltext
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The Foundation of Precision Medicine: Integration of Electronic Health Records with Nenomics Through Basic, Clinical, and Translational Research
Veröffentlicht 2021“… Chapter 2 describes the results of genetic studies on different diseases for which all the phenotypic information was extracted from the EHR with highly specific ePhenotyping algorithms. …”
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High Voltage Engineering and Applications
Veröffentlicht 2021“… The presented research papers cover both experimental and simulation studies, with a focus on topics related to insulation monitoring using state-of-the-art sensors and advanced machine learning algorithms. …”
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