scopus dragon

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

Generalized metrics for evaluating recommendation algorithms as a criterion for optimizing hyperparameters

This paper considers an approach to optimizing hyperparameters of recommendation algorithms using an integral assessment that combines several metrics into four key subindexes: accuracy, ranking, diversity, and resource intensity. This method allows for a more balanced tuning of models, ensuring improved quality of recommendations without loss in individual characteristics. Unlike adjusting for one metric, which can worsen the rest of the parameters, the proposed approach takes into account the mutual dependencies between the metrics. It is shown that different algorithms react differently to


Formation of artificial data from inert materials for training computer vision neural networks using the example of crushed stone production

The article presents a research approach to the formation of synthetic data for training neural networks of computer vision systems using the technological process of crushed stone production as an example. The main attention is paid to the problem of scarcity and heterogeneity of real images used in the training of industrial computer vision models. In order to overcome these limitations, a method for generating photorealistic images based on the Unity game engine and the Unity Perception toolkit is proposed. An algorithm for generating pseudorandom objects based on the deformation of the ico


Hyperparameter Optimization of Decision Tree Using Enhanced Grey Wolf Optimization for Diabetes Prediction

Diabetes is one of the most prevalent chronic diseases, requiring accurate predictive approaches to support diagnosis and clinical decision-making. This study aims to enhance the performance of the Decision Tree (DT) model through hyperparameter optimization using Enhanced Grey Wolf Optimization (EGWO). The proposed method integrates Lévy flight, adaptive exploration–exploitation control, and local search mechanisms to prevent premature convergence and improve solution stability. Experiments were conducted on the Pima Indians Diabetes Dataset (PIDD) using 10-fold cross-validation. The resul


Impact of Marketing & E-commerce Growth on Traditional Supply Chain Models and Logistics Networks: A Quantitative Study

The rapid growth of e-commerce and digital marketing is reshaping traditional supply chain models, prompting shifts in distribution network design, fulfillment strategies, and logistics cost structures. While previous studies have explored digital transformation in isolation, there is limited quantitative evidence on how these changes jointly influence operational performance and cost trade-offs. This study examines the quantitative impact of e-commerce growth and marketing investment on supply chain configuration, fulfillment practices, and key logistics performance metrics, with a focus on i


Application of Artificial Intelligence-Based Teaching Media in Thematic Lessons to Enhance Students’ Literacy Numeracy Skills

This study investigates the impact of artificial intelligence (AI)-based teaching media on the literacy and numeracy skills of elementary school students in Enrekang Regency, South Sulawesi, Indonesia. The study employs a design-based research approach and involves 60 fifth-grade students who were divided into an experimental group using AI-supported instruction and a control group using traditional methods. The results show that the experimental group exhibited significant improvements in both literacy and numeracy, with higher gains observed in fluent reading, vocabulary comprehension, numbe