Dropout is one of the most popular regularization methods in the scholarly domain for
preventing a neural network model from overfitting in the training phase. Developing an …

The use of deep learning and machine learning (ML) in medical science is increasing,
particularly in the visual, audio, and language data fields. We aimed to build a new …

Bias could be defined as the tendency to be in favor or against a person or a group, thus
promoting unfairness. In computer science, bias is called algorithmic or artificial intelligence …

Alzheimer's disease (AD) is one of the most difficult to cure diseases. Alzheimer's disease
seriously affects the normal lives of the elderly and their families. The mild cognitive …

Corn is an important food crop in the world, widely distributed in many countries because of
its excellent environmental adaptability. Moreover, corn is an important feed source for …

Aim: This paper proposes a novel alcoholism identification approach that can assist
radiologists in patient diagnosis. Method: AlexNet was used as the basic transfer learning …

Driving style detection is an essential real-world requirement in diverse contexts, such as
traffic safety, car insurance and fuel consumption optimization. However, the existing …

Accurate state of charge estimation is essential to improve operation safety and service life
of lithium-ion batteries. This paper proposes a synthetic state of charge estimation method …

Deep learning is a topic of considerable current interest. The availability of massive data
collections and powerful software resources has led to an impressive amount of results in …

Depression is a global psychological disease that does serious harm to people. Traditional
diagnostic method of the doctor-patient communication, is not objective and accurate …