Users can easily create, edit, and collaborate on documents, spreadsheets, and presentations directly ... Box also provides a range of AI and machine learning capabilities, such as intelligent content ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

Machine learning algorithms can be applied to recorded S-parameters in order to classify the stage of Alzheimer's disease in the brain. •The research presented in this work targets research in ...

We explore propagation of seismic interpretation by deep learning in stacked 2D sections. We show the application of state-of-the-art image classification algorithms on seismic data. These algorithms ...

The accuracy of multivariate time series classification algorithms is critical for the effective recognition ... This paper addresses this issue by introducing a time-frequency contrastive learning ...

SVM is a machine learning algorithm used to address binary classification problems (Zhang et al., 2013). It maps the original vectors into a higher-dimensional space and constructs a hyperplane with ...

choice of machine learning approach and potential signal features to include in algorithm development. At the 3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement ...

The Indian banking regulator, however, left cypto currency out of the list. Credit registry, credit information, Initial Coin Offering (ICO) and chain marketing have also been kept out of the sandbox.