Requirements prioritization is considered as one of the most important approaches in the
requirement engineering process. Requirements prioritization is used to define the ordering …

Chaotic time series prediction can be performed by applying different architectures of
artificial neural networks (ANNs) that can be implemented on field-programmable gate …

Uncertainty estimation is important for interpreting the trustworthiness of machine learning
models in many applications. This is especially critical in the data-driven active learning …

Ship heave motion prediction is an important part of wave compensation. Machine learning
algorithms, such as Long Short-Term Memory (LSTM) networks, have demonstrated …

Credit risk analysis is important for financial institutions that provide loans to businesses and
individuals. Banks and other financial institutions generally face risks that are mostly of …

An important application of multi-agent systems is task negotiation. The existing protocols for
controlling negotiation in multi-agent systems are either centralized or decentralized. The …

Industrial oil drilling processes usually produce high-dimensional multivariate time series
data, in which the significant data changes associated with key variables possibly indicate …

Business applications, such as market shops, use matrix multiplication to calculate yearly,
monthly, or even daily profits based on price and quantity matrices. Matrices comprise large …