Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.
Symbolic Regression (SR) is an Evolutionary Algorithm (EA) variant, which aims to generate mathematical equations for various tasks such as classification and regression. SR uses Genetic Algorithm (GA) to generate mathematical equations that best fit input data which have the least error. SR is notably useful in cases where features in a data set are known to have distinct mathematical relationships among each other and its output. This research aims to assess the efficacy of SR on biomedical data, such as electroencephalogram (EEG) signals, to classify human emotions. As the data is purely nu
Through the past 20 years, Computer sciences evolution has changed the world at all levels, economical, medical, social, etc. Nowadays, humans likely spent time on the Internet more than real world, and lead online social, economic and administrative activities. Therefore, the mapping between the virtual and real existence were obligatory, leading the community towards authentication and privacy needs. The Digital Identity was then born and involved into the Self-Sovereign Identity (SSI) to prove online users' and contents authenticity by preserving privacy and autonomy. This paper tracks the
Artificial Intelligence (AI) holds the potential to immensely benefit African societies, but its development and deployment has also raised some ethical issues that need to be considered. This paper explores multi-faceted ethical frameworks and practical considerations related to AI's implementation in Africa. It provides an overview of AI's prospective applications within the region and proposes an extensive ethical framework for evaluating AI deployment. It further discusses the associated risks and the necessity for efficacious AI regulation in the African context. This paper also underline
Path losses are an important measure of the effectiveness of wireless communication systems exposed to the effects of radio propagation in the surrounding environment. For many years, the correlations proposed by various academics have been used to calculate path loss for waves propagating in various environments with constrained operational parameters. In this study, alternative model is presented, based on artificial neural network weights, to the log-normal shadowing model used in calculating path losses across concrete surfaces. With path loss as the target variable, the data of the physic
Water quality models are an important tool for forecasting dissolved oxygen (DO) concentration in water bodies and it is an essential part of every water quality management. The accuracy of the Convolutional Neural Network (CNN) in modeling the concentration of DO was investigated in this research. The parameters selected for this simulation include; Ammonia, Nitrate, pH, suspended solids, temperature, and water turbidity. The model was implemented by using the measured data obtained from uMgeni waterworks, during the year 2014. Various input combinations of these data were applied as inputs t