This article presents iBuilding: distributed artificial intelligence embedded into Intelligent or
Smart Buildings in an Industry 4.0 application that enables the adaptation to the external …

The field of neuromorphic computing has been rapidly evolving in recent years, with an
increasing focus on hardware design and reliability. This special session paper provides an …

Cloud computing and deep learning, the recent trends in the software industry, have
enabled small companies to scale their business up rapidly. However, this growth is not …

Spiking neural network (SNN) is a very promising low-power neural network that can be
implemented in asynchronous circuits. However, it is hard to test SNN chips since they are …

The use of Machine Learning techniques in battery-powered devices has increased in
recent years. Therefore, evaluating power-accuracy trade-offs of inference models has …

Recently, Capsule Networks (CapsNets) have shown improved performance compared to
the traditional Convolutional Neural Networks (CNNs), by encoding and preserving spatial …

Compared to their heterosexual and cisgender peers, young sexual and gender minority
(YSGM) people are more likely to contract sexually transmitted infections (STIs; eg, HIV) and …

The accurate measurement and control of the geometric dimensions and shape errors of
large‐size and high‐precision key components are key factor to ensure the machining …

The advancement in deep learning has taken the technology world by storm in the last
decade. Although, there is enormous progress made in terms of algorithm performance, the …

Explainable artificial intelligence (XAI) is a concept that has emerged and become popular
in recent years. Even interpretation in machine learning models has been drawing attention …