The impact of machine learning on the Norwegian legal industry

In this paper, we propose a new machine learning approach for target detection in radar, based solely on measured radar data.. By solely using measured radar data, we remove

The goal with this thesis is to explore machine learning and the possibilities of using machine learning to create a model that can predict the effect of

Problem Queue Congestion Flow Prediction Forecasting Estimation Techniques Deep learning Neural networks Machine learning Big data.. Second step is to select the

Keywords – Machine Learning, Interpretable Machine Learning, SHAP, LightGBM, Deep Learning, LSTM, Logistic Regression, Wireline Logs, Formation Prediction, Johan

Keywords – Housing price prediction, AVM, Machine Learning, Deep Learning, XGBoost, Deep Neural Network, Stacked Regression, Random Forest... 2.2 Machine

Keywords: power plant; electrical power modeling; metaheuristic optimization; water cycle algo- rithm; machine learning; deep learning; big data; energy; deep

In this thesis, machine learning and deep learning will be used to predict the measured grain yield using the data from the multispectral images as well as the maturity date (MAT)..

We used a linear Support vector machine to test if a machine learning classifier of this nature could learn the pattern of ideas written as text.. The comparison