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Mobile network traffic prediction is an important input into network capacity planning and optimization. Existing approaches may lack the speed and computational complexity to account for bursting, non‐linear patterns, or other important ...

We compare the performance of LSTM, GRU, Random Forest, and Decision Tree for predicting mobile Internet traffic using Telecom Italia data. K‐means clustering was used a priori to group cells based on Internet activity, and the Grid Search method was used ...

The continued proliferation of information technology in all aspects of our lives fosters benefits but also generates risks to individuals' privacy. In emerging contexts, such as government surveillance technologies, there is a dearth ...

• Contact tracing applications offer both benefits and risks to individuals' privacy.

This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as ...