KSR@ authors are typically scientific researchers and/or ideas developers just like our readers! so all of them are specialists in their field. We want our writers to share the tips and tricks they have researched and learned, and we will give you plenty of help along the way. If you have a research paper or idea to share, here is how to turn it into a KSR@ article.
Abstract By introducing a genetic algorithm learning with a classifier system, we construct an AI model for oil volatility forecasting on the basis of Internal Information and External Information. The
Abstract We implement machine learning techniques to predict the destination for Latin American crude oil exports. Utilizing a unique dataset of micro-level crude oil shipment data, derived from the Automatic
Abstract the oil industry is one in constant need of development and technological advancement. Declining oil field productivity as well as volatile oil prices, particularly after the last market crash,
UN: the crisis insight after the failure of the American resolution on Iran Unable to obtain the unlimited extension of Iran’s arms embargo, Donald Trump promises a response that embarrasses
Abstract In this paper, we present a hashing function for the application of face template protection, which improves the correctness of existing algorithms while maintaining the security simultaneously. The novel
Abstract: The steps of the gamification approach in education to improve learning engagement are discussed in this paper. There are a few steps on the gamification approach that have been
Abstract Increasingly, mobile learning has been considered as a part of professional development due to its unique attributes: ubiquitous, flexible, highly personalized, and easily accessible. It represents a paradigm shift
Abstract The rapid and worldwide spread of the coronavirus and its illness is known as COVID-19 has made a huge impact on almost everything that has taken us all by
Abstract Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic.
Abstract Discussion features in online communities can be effectively used to diagnose depression and allow other users or experts to provide self-help resources to those in need. Automatic emotion identification
