In the current era of advanced technology, the convergence of artificial intelligence (AI) and
big data presents intricate challenges in the technical and doctrinal aspects of law and the …

In a big data environment, data streams are sequences of dynamically changing data with
unlimited length; they are often associated with concept drift, caused by data distribution …

Memory is a complex process across different brain regions and a fundamental function for
many cognitive behaviors. Emerging experimental results suggest that memories are …

Complex product development increasingly entails creation and sharing of design
knowledge in a collaborative and integrated working environment. In this context, it has …

Multi-label learning is concerned with learning from data examples that are represented by a
single feature vector while associated with multiple labels simultaneously. Existing multi …

We present a novel framework for characterizing paired brain networks using techniques in
hyper-networks, sparse learning and persistent homology. The framework is general …

This tutorial reference serves as a coherent overview of various statistical and mathematical
approaches used in brain network analysis, where modeling the complex structures and …

Nature has remedies for almost all problems. Though biological systems exhibits organised,
complex and intelligent behaviour, they comprise of simple elements and governed by …

There is a continual push to make Artificial Intelligence (AI) as human-like as possible;
however, this is a difficult task. A significant limitation is the inability of AI to learn beyond its …

High-order networks are weighted hypergraphs collecting relationships between elements
of tuples, not necessarily pairs. Valid metric distances between high-order networks have …