Brain computer interfaces (BCIs) have been widely adopted to enhance human perception
via brain signals with abundant spatial-temporal dynamics, such as electroencephalogram …

Stochastic computing (SC) is an approximate computing paradigm using probabilities and
aims at realizing circuits with low hardware cost. Basic operations (such as addition) have …

Binarization plays a key role in image processing. Its performance directly affects the
success of subsequent character segmentation and recognition. The Phansalkar algorithm …

Stochastic computing (SC) is an unconventional computing paradigm, which processes
numerical values through stochastic bitstreams. This representation can be interpreted as …

Stochastic computing (SC) is an approximate computing technique that has been
considered in recent years as an alternative to conventional binary encoding and is …

Stochastic Computing (SC) expresses a digital bit-stream as digitized probability enabling
resource-efficient designs in terms of area and power. SC has potential applications in …

Stochastic Computing (SC) allows additions and multiplications to be realized with lower
power than the conventional binary operations if we admit some errors. However, for many …

In the last decade, deep learning has gained soaring popularity in both academia and
industry, playing an indispensable role in many aspects of human lives. The resource …

Modern computing needs have led to the emergence of eccentric new computing
paradigms, including approximate computing. However, the widespread adoption of …