Abstract Machine learning has become an indispensable part of the existing technological
domain. Edge computing and Internet of Things (IoT) together presents a new opportunity to …

This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …

Hyperdimensional computing (HDC) is an emerging learning paradigm that computes with
high dimensional binary vectors. There is an active line of research on HDC in the …

Brain-inspired Hyperdimensional Computing (HDC) is an emerging framework in low-
energy designs for solving classification tasks at the edge. Unlike mainstream neural …

Transistor scaling steadily approaches fundamental limits. Sustaining circuit reliability
becomes an overwhelming challenge for foundries and their manufacturing processes …

Advances in low-power electronics and machine learning techniques lead to many novel
wearable IoT devices. These devices have limited battery capacity and computational …

This paper addresses the clustering of data in the hyperdimensional computing (HDC)
domain. In prior work, an HDC-based clustering framework, referred to as HDCluster, has …

Recent advancements in low-power electronics and machine-learning techniques have
paved the way for innovative wearable Internet of Things (IoT) devices. However, these …

This paper addresses clustering of clinical response of subjects with major depressive
disorder (MDD) after they are treated with transcranial magnetic stimulation (TMS) …

Advances in bioinformatics are primarily due to new algorithms for processing diverse
biological data sources. While sophisticated alignment algorithms have been pivotal in …