In recent years, machine learning (ML) and deep learning (DL) have shown remarkable
improvement in computer vision, natural language processing, stock prediction, forecasting …

Road accidents are increasing worldwide and are causing millions of deaths each year.
They impose significant financial and economic expenses on society. Existing research has …

This is your last chance. After this, there is no turning back. You take the blue pill-the story
ends, you wake up in your bed and believe whatever you want to believe. You take the red …

In an era of rapid global change, conservation managers urgently need improved tools to
track and counter declining ecosystem conditions. This need is particularly acute in the …

This paper develops a novel tree-based algorithm, called Bonsai, for efficient prediction on
IoT devices–such as those based on the Arduino Uno board having an 8 bit ATmega328P …

We present a new real-time hand tracking system based on a single depth camera. The
system can accurately reconstruct complex hand poses across a variety of subjects. It also …

Fully articulated hand tracking promises to enable fundamentally new interactions with
virtual and augmented worlds, but the limited accuracy and efficiency of current systems has …

Deep neural networks and decision trees operate on largely separate paradigms; typically,
the former performs representation learning with pre-specified architectures, while the latter …

Anomaly detection is a crucial aspect for both safety and efficiency of modern process
industries. This paper proposes a two-steps methodology for anomaly detection in industrial …

The human body is designed to experience stress and react to it, and experiencing
challenges causes our body to produce physical and mental responses and also helps our …