scopus

Kongzhi yu Juece/Control and Decision

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.

Aim and Scope

Kongzhi yu Juece/Control and Decision

Computer Science and Engineering:

Software Engineering, Data Security, Computer Vision, Image Processing, Cryptography, Computer Networking, Database system and Management, Data mining, Big Data, Robotics, Parallel and distributed processing, Artificial Intelligence, Natural language processing , Neural Networking, Distributed Systems , Fuzzy logic, Advance programming, Machine learning, Internet & the Web, Information Technology, Computer architecture, Virtual vision and virtual simulations, Operating systems, Cryptosystems and data compression, Security and privacy, Algorithms, Sensors and ad-hoc networks, Graph theory, Pattern/image recognition, Neural networks,

Electrical Engineering and Telecommunication Section:

Electrical Engineering, FACTS devices , Insulation systems , Power quality , Telecommunication Engineering, Electro-mechanical System Engineering, Biological Biosystem Engineering, Integrated Engineering, Electronic Engineering, Hardware-software co-design and interfacing, Semiconductor chip, Peripheral equipments, Nanotechnology, Advanced control theories and applications, Machine design and optimization , Turbines micro-turbines, High voltage engineering, Electrical actuators , Energy optimization , Electric drives , Electrical machines, HVDC transmission, Power electronics.

Mechanical and Materials Engineering :

kinematics and dynamics of rigid bodies, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, mechanics of continuum, strength of materials, fatigue of materials, hydromechanics, aerodynamics, thermodynamics, heat transfer, thermo fluids, nanofluids, energy systems, renewable and alternative energy, engine, fuels,

Chemical Engineering :

Chemical engineering fundamentals, Particulate systems, Rheology, Physical, Theoretical and Computational Chemistry, Chemical engineering educational challenges and development, Chemical reaction engineering, Multifase flows, Chemical engineering equipment design and process design, Thermodynamics, Catalysis & reaction engineering, Interfacial & colloidal phenomena, Transport phenomena in porous/granular media, Membranes and membrane science, Crystallization, distillation, absorption and extraction, Ionic liquids/electrolyte solutions.

Mathematics :

Actuarial science, Algebra, Algebraic geometry, Analysis and advanced calculus, Approximation theory, Boundry layer theory, Calculus of variations, Combinatorics, Complex analysis, Continuum mechanics, Cryptography, Demography, Differential equations, Differential geometry, Dynamical systems, Econometrics, Fluid mechanics, Functional analysis, Game theory, General topology, Geometry, Graph theory, Group theory, Information theory, Industrial mathematics, Integral transforms and integral equations, Lie algebras, Magnetohydrodynamics, Mathematical analysis, Logic,

Physics Section :

Astrophysics, Atomic and molecular physics, Biophysics, Chemical physics, Civil engineering physics, Cluster physics, Computational physics, Condensed matter, Cosmology, Device physics, Fluid dynamics, Geophysics. High energy particle physics, Laser, Mechanical engineering, Medical physic, Nanotechnology, Nonlinear science, Nuclear physics, Optics, Photonics, Plasma and fluid physics, Quantum physics, Magnetohydrodynamics, Robotics, Soft matter and polymers,

// Latest Journals

Artificial Intelligence in Medical Care Automation Transforming Healthcare Delivery through Intelligent Systems

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


The Accuracy of Wavelet Coefficients in Identifying Fatigue Features Using a Fuzzy C-Means-based Integrated Clustering Algorithm

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


Fundamental Solutions of n-Dimensional D_{m}^k Operators Related to the Wave Equation

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 .


Implementation of a Generalized Artificial Intelligence Algorithm Applied to Stroke Prediction in Diabetic Patients.

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


Crime Prediction and Mapping Using Machine Learning Algorithms

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