This paper strives to construct the relevance between smartphone sensor data and personal
health via a deep learning method. Firstly, the data captured by smartphone sensors is …

Build real-world Artificial Intelligence applications with Python to intelligently interact with the
world around you About This Book Step into the amazing world of intelligent apps using this …

Today, both desktop and mobile software systems are usually built to leverage resources
available on the World Wide Web. However, in recent years desktop and mobile software …

Smartphone mobile application (App) usage prediction, ie, which Apps will be used next, is
beneficial for user experience improvement. Through an in-depth analysis on a real-world …

In recent years, mobile devices have gained increasing development with stronger
computation capability and larger storage space. Some of the computation-intensive …

With the advent of artificial intelligence (AI), there has been an attempt to model a similar
behavior among computers, so that they can make decisions autonomously, just like …

With the widespread adoption of smartphones, mobile applications have gained mainstream
popularity. However, the potential privacy and security risks associated with using mobile …

Build four real-world Django apps and learn Django by doing. Create fully functional web
applications with authentication, content management systems, payment processing, REST …

Deep-Learning (DL) applications have been widely employed to assist in various tasks.
They are constructed based on a data-driven programming paradigm that is different from …

The emergence of machine learning in the artificial intelligence field led the world of
technology to make great strides. Today‟ s advanced systems with the ability of being …