Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

Quantum computing has been proven to excel in factorization issues and unordered search
problems due to its capability of quantum parallelism. This unique feature allows …

Brain tumor classification plays an important role in clinical diagnosis and effective
treatment. In this work, we propose a method for brain tumor classification using an …

Purpose The purpose of this paper is to investigate the role of business analytics and
environmental orientation toward green innovation and green competitive advantage. In …

COVID-19 was declared a global pandemic by the World Health Organisation (WHO) on
11th March 2020. Many researchers have, in the past, attempted to predict a COVID …

In this paper, a multiple ensemble neural network model with fuzzy response aggregation for
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …

Machine Learning is a significant technique to realize Artificial Intelligence. The Random
Forest Algorithm can be considered as one of the Machine Learning's representative …

The onset of the COVID-19 pandemic has led to an increased demand for mental health
interventions, with a special focus on digitally assisted ones. Self-regulation describes a set …

IoT-based applications have witnessed a rapid surge in deployment in various domains. IoT
infrastructure is the nervous system responsible for the effective functioning of Smart Cities …

The expertise of radiologists plays a pivotal role in the intricate task of diagnosing brain
tumors. However, the escalating number of patients has rendered traditional diagnostic …