The advent of the COVID-19 pandemic has brought about unprecedented disruptions in the
field of education, necessitating a reevaluation of pedagogical approaches in the post …

Epilepsy as the most common neurological disorder globally has drawn more and more
attention. However, it is time-consuming and labor-intensive for manual detection of interictal …

Fraud detection is a vital and challenging task in the financial domain. Traditional machine
learning approaches have limitations in dealing with the high imbalance and complexity of …

The assembly line balancing problem (ALBP) is an eminent NP-hard topic that is discussed
in mass production systems with low diversity. Primarily, two types of ALBPs are discussed …

Permeability is one of the important issues that must be considered in the investigation of
dam sites. Determination of this parameter in the boreholes is time-consuming, costly, and in …

Speech recognition and in other word communication between computers and human as a
sub field of computational linguistics or Natural Language Processing (NLP) has a long …

With the popularization of workpiece grabbing and sorting applications, the measurement
accuracy and speed of workpiece pose become the key issues. Therefore, a lightweight …

Abstract In this paper, the (3+ 1)-dimensional B-type Kadomtsev–Petviashvili–Boussinesq
(BKP-Boussinesq) equation was fully studied with the help of bilinear neural network …