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.
Artificial Intelligence (AI) is rapidly transforming healthcare delivery through automation of diagnostic, clinical, and administrative processes. Intelligent systems such as machine learning algorithms, decision support tools, and automated diagnostics are increasingly adopted to improve accuracy, efficiency, and patient-centered care. However, the effectiveness of AI in real-world clinical settings requires empirical validation. This study aimed to evaluate the impact of AI-based automation on clinical efficiency, diagnostic accuracy, patient satisfaction, system usability, and acceptance of
This study discussed the accuracy of wavelet coefficients in identifying fatigue features. The accuracy was based on the correlation coefficient and coefficient of determination obtained from the scattering of wavelet coefficients and the fatigue life developed using Fuzzy C-Means-based integrated clustering algorithm. During the analysis, fatigue-based strain data were simulated within a range of 200 to 2,000 µε of using both constant and variable amplitudes, with mean values set to negative, zero, and positive. Wavelet transforms included were Morlet wavelet and the 4th, 12th, 20th, and 30
In this article, we investigate the fundamental solution of the operator , where is a non-negative real number, is the diamond Klein - Gordon operator, is the dimension of the Euclidean space , and is a non-negative integer. First, we study the fundamental solution of the operator . Then, we apply this fundamental solution to solve the equation where is a generalized function and is the unknown function defined on .
Thanks to technological advancements, AI and deep learning-based systems have generated significant interest in addressing stroke and diabetes-related issues. In this article, we have, on the one hand, implemented a generalized classification algorithm that combines a set of AI algorithms used for classification, displaying the best model metrics and saving the optimal model. On the other hand, we optimized the computation time of the proposed algorithm. To achieve this, we used the Mojo programming language, which eliminates interpreter overhead and leverages parallelism and hardware optimiza
One of the primary functions of government is to reduce crime. Despite the government's efforts to curb criminal activities, the security situation in many urban areas has deteriorated. This study aimed to create and test a machine learning model to predict crime categories and visualize the location where they occur using contextual features from the datasets. This was achieved by combining time, location, and contextual data with machine learning to improve crime prediction. The crime datasets were collected from various sources, including Nairobi County law enforcement agencies. They were s