Skin-interfaced electronics is gradually changing medical practices by enabling continuous
and non-invasive tracking of physiological and biochemical information. With the rise of big …

Electroencephalogram (EEG) artifacts such as eyeblink, eye movement, and muscle
movements widely contaminate the EEG signals. Those unwanted artifacts corrupt the …

Cancer is one of the top causes of mortality, and it arises when cells in the body grow
abnormally, like in the case of breast cancer. For people all around the world, it has now …

Epileptic patients suffer from an epileptic brain seizure caused by the temporary and
unpredicted electrical interruption. Conventionally, the electroencephalogram (EEG) signals …

Kinematic motion detection aims to determine a person's actions based on activity data.
Human kinematic motion detection has many valuable applications in health care, such as …

In the microarray gene expression data, there are a large number of genes that are
expressed at varying levels of expression. Given that there are only a few critically significant …

During data transmission, a decentralised Mobile Ad Hoc Network (MANET) might result in
high Energy Consumption (EC) and a short Network Lifetime (NLife). To address these …

The study examines the prospects and challenges of machine learning (ML) applications in
academic forecasting. Predicting academic activities through machine learning algorithms …

This study describes a modified approach for the detection of cardiac abnormalities and
QRS complexes using machine learning and support vector machine (SVM) classifiers. The …

The Internet of Things (IoT) is now growing dramatically on various levels and helps to
digitize various vital industries quickly. The most difficult obstacle for BCIs to overcome is the …