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Development of methods and algorithms for intrusion detection and prevention systems based on statistical methods and sustainable machine learning algorithms
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Development of methods and algorithms for intrusion detection and prevention systems based on statistical methods and sustainable machine learning algorithms

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Enhancing the Prediction of Shot Success in NBA Basketball Games Using Machine Learning Techniques - LSTM Neural Network
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Enhancing the Prediction of Shot Success in NBA Basketball Games Using Machine Learning Techniques - LSTM Neural Network

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Altered brainstem–cortex activation and interaction in migraine patients - somatosensory evoked EEG responses with machine learning
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Altered brainstem–cortex activation and interaction in migraine patients - somatosensory evoked EEG responses with machine learning

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Machine Learning Clustering Techniques to Support Structural Monitoring of the Valgadena Bridge Viaduct (Italy)
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Machine Learning Clustering Techniques to Support Structural Monitoring of the Valgadena Bridge Viaduct (Italy)

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Advancing Responsible Mining - Machine Learning and MWD Data for Blast Optimization in Quarry Operations
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Advancing Responsible Mining - Machine Learning and MWD Data for Blast Optimization in Quarry Operations

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Identifying intermediate structures during water and hydrate phase transitions with machine learning - Master’s thesis
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Identifying intermediate structures during water and hydrate phase transitions with machine learning - Master’s thesis

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Historical insights at scale - A corpus-wide machine learning analysis of early modern astronomic tables
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Historical insights at scale - A corpus-wide machine learning analysis of early modern astronomic tables

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MRI T2w Radiomics-Based Machine Learning Models in Imaging Simulated Biopsy Add Diagnostic Value to PI-RADS in Predicting Prostate Cancer - A Retrospective Diagnostic Study
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MRI T2w Radiomics-Based Machine Learning Models in Imaging Simulated Biopsy Add Diagnostic Value to PI-RADS in Predicting Prostate Cancer - A Retrospective Diagnostic Study

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The Application of Selected Supervised Machine Learning Methods in the Classification of Family Businesses in the Context of Cluster Formation
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The Application of Selected Supervised Machine Learning Methods in the Classification of Family Businesses in the Context of Cluster Formation

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Potential of Machine Learning in Demand Forecasting Based on Point of Sales Data for Food Producers - Master’s thesis
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Potential of Machine Learning in Demand Forecasting Based on Point of Sales Data for Food Producers - Master’s thesis

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Study on the Performance of Machine Learning Algorithms as Surrogate Models for a Representative Model - Master’s thesis
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Study on the Performance of Machine Learning Algorithms as Surrogate Models for a Representative Model - Master’s thesis

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Utilizing RGB imaging and machine learning for freshness level determination of green bell pepper (Capsicum annuum L.) throughout its shelf-life
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Utilizing RGB imaging and machine learning for freshness level determination of green bell pepper (Capsicum annuum L.) throughout its shelf-life

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Implementing LSTM machine learning in long-term hydropower scheduling - Master’s thesis
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Implementing LSTM machine learning in long-term hydropower scheduling - Master’s thesis

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Advances in Optimisation and Machine Learning for Process Systems Engineering - Doctoral thesis
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Advances in Optimisation and Machine Learning for Process Systems Engineering - Doctoral thesis

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Marine Big Data-driven Machine Learning Based Monitoring of Phytoplankton Groups in the Arctic Ocean - Master Thesis
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Marine Big Data-driven Machine Learning Based Monitoring of Phytoplankton Groups in the Arctic Ocean - Master Thesis

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