In this paper, we propose a physical informed neural network approach for designing the
electromagnetic metamaterial. The approach can be used to deal with various practical …

A recommendation system is a program that utilizes techniques to suggest to a user items
that they would likely prefer. This paper focuses on an approach to improving music …

Hand gestures are the most common forms of communication and have great importance in
our world. They can help in building safe and comfortable user interfaces for a multitude of …

Link prediction is the task of evaluating the probability that an edge exists in a network, and it
has useful applications in many domains. Traditional approaches rely on measuring the …

Paraphrase Identification or Natural Language Sentence Matching (NLSM) is one of the
important and challenging tasks in Natural Language Processing where the task is to …

Signaling pathways describe a group of molecules in a cell that collaborate to control one or
more cell functions, such as cell division or cell death. The pathways communicate by …

Most of time series deriving from complex systems in real life is non-stationary, where the
data distribution would be influenced by various internal/external factors such that the …

Data from smart grids are challenging to analyze due to their very large size, high
dimensionality, skewness, sparsity, and number of seasonal fluctuations, including daily and …

Ensemble methods for machine learning serve to increase the predictive power of
preexisting models by applying a meta-algorithm on top of the underlying workings of one or …

Contemporary developments in computer vision and artificial intelligence show promise to
greatly improve the lives of those with disabilities. In this paper, we propose one such …