The journal aims to provide an international platform for the publication and dissemination of high-quality research in multidisciplinary fields of science, engineering, and technology. The journal publishes original research articles, review papers, and methodological studies that contribute to theoretical development, scientific discovery, technological innovation, and interdisciplinary advancement.

The Aim and Scope of this journal follow the subject area classification registered in the SCImago Journal & Country Rank (SJR) database for this journal profile. The scope is aligned with the disciplinary categories previously registered and listed in the SCImago journal record available at:
https://www.scimagojr.com/journalsearch.php?q=21101281043&tip=sid&exact=no

These subject categories are based on the SCImago and Scopus subject classification system, which organizes journals according to internationally recognized academic disciplines. By adhering to these classifications, the journal maintains consistency with global indexing standards and ensures its scientific coverage aligns with the fields previously registered in the SCImago database.

According to the SCImago classification associated with the journal profile, the journal covers research in the following areas:

Agricultural and Biological Sciences

The journal publishes studies related to biological systems and agricultural technologies aimed at improving sustainability, productivity, and environmental resilience. Relevant topics include but are not limited to:

• Agricultural technology and smart farming
• Precision agriculture and digital agriculture systems
• Agricultural data analytics and decision support systems
• Agricultural biotechnology and biological engineering
• Sustainable agriculture and environmental management
• Soil science and crop production technologies
• Biological systems modeling and simulation
• Agricultural automation and robotics
• Post-harvest technology and food system engineering

Chemistry

Research in chemical sciences that contributes to fundamental understanding, material innovation, and industrial applications is within the journal scope. Topics include:

• Organic and inorganic chemistry
• Analytical chemistry and chemical instrumentation
• Physical chemistry and chemical thermodynamics
• Computational chemistry and molecular modeling
• Green chemistry and sustainable chemical processes
• Chemical reaction engineering
• Chemical materials and nanochemistry
• Environmental chemistry and pollution control technologies

Computer Science

The journal encourages research related to theoretical and applied aspects of computing, particularly those supporting digital transformation and intelligent systems. Areas of interest include:

• Artificial Intelligence (AI)
• Machine Learning and Deep Learning
• Reinforcement Learning
• Explainable Artificial Intelligence (XAI)
• Cognitive Computing
• Knowledge Representation and Reasoning
• Expert Systems and Decision Support Systems
• Intelligent Agents and Multi-agent Systems
• Evolutionary Computing and Genetic Algorithms
• Swarm Intelligence
• Fuzzy Logic Systems
• Hybrid Intelligent Systems
• Data Mining and Knowledge Discovery
• Big Data Analytics
• Predictive Analytics
• Data Visualization
• Data Engineering and Data Warehousing
• Data Integration and Data Management
• Statistical Learning and Pattern Analysis
• Information Retrieval and Search Systems
• Recommender Systems
• Image Processing and Analysis
• Computer Vision Algorithms
• Object Detection and Recognition
• Image Segmentation and Classification
• Facial Recognition Systems
• Medical Image Processing
• Video Analysis and Surveillance Systems
• Augmented Reality and Visual Computing
• Natural Language Processing (NLP)
• Text Mining and Text Analytics
• Speech Recognition and Processing
• Language Modeling
• Conversational AI and Chatbots
• Sentiment Analysis and Opinion Mining
• Machine Translation
• Software Architecture and Design
• Software Development Methodologies
• Agile Software Development
• DevOps and Continuous Integration
• Software Testing and Quality Assurance
• Software Maintenance and Evolution
• Model-driven Software Engineering
• Component-based Software Engineering
• Microservices Architecture
• Computer Networks and Communication Systems
• Network Architecture and Protocol Design
• Wireless Networks and Mobile Networks
• Network Performance and Optimization
• Software Defined Networking (SDN)
• Network Function Virtualization (NFV)
• Distributed Computing Systems
• Grid Computing and Cluster Computing
• Edge Computing and Fog Computing
• Cloud Infrastructure and Platforms
• Cloud-native Applications
• Virtualization Technologies
• Resource Management in Cloud Systems
• Serverless Computing
• Scalable Cloud Architectures
• Cryptography and Secure Communication
• Network Security and Intrusion Detection Systems
• Cyber Threat Intelligence
• Digital Forensics
• Privacy-preserving Computing
• Blockchain Security
• Secure Software Development
• Internet of Things (IoT) Architectures
• Sensor Networks and Embedded Systems
• Smart Cities Technologies
• Smart Agriculture Systems
• Smart Healthcare Systems
• Industrial Internet of Things (IIoT)
• Cyber-Physical Systems
• Computer Graphics Algorithms
• Scientific Visualization
• Information Visualization
• Virtual Environments
• Digital Animation and Rendering
• Algorithm Design and Analysis
• Computational Complexity
• Graph Algorithms
• Approximation Algorithms
• Randomized Algorithms
• Formal Methods and Verification
• Parallel Computing
• GPU Computing
• High Performance Algorithms
• Scientific Computing
• Supercomputing Systems
• Database Systems and Data Management
• Distributed Databases
• NoSQL Databases
• Knowledge Management Systems
• Information Systems Architecture
• Enterprise Information Systems
• Robotics and Autonomous Systems
• Robot Perception and Navigation
• Autonomous Vehicles
• Human-Robot Interaction
• Intelligent Control Systems
• Quantum Computing
• Neuromorphic Computing
• Edge AI
• Blockchain Technologies
• Digital Twins
• Metaverse Technologies
• Computational Agriculture
• Computational Biology and Bioinformatics
• Smart Manufacturing and Industry 4.0
• FinTech Systems
• Health Informatics and Medical Informatics

Engineering

The journal publishes research addressing engineering innovations, system design, and industrial technologies across various engineering disciplines. Relevant topics include:

• Aerospace engineering and aeronautical systems
• Mechanical and industrial engineering
• Electrical and electronic engineering
• Control systems and automation engineering
• Mechatronics and robotics engineering
• Energy systems and renewable energy technologies
• Sustainable engineering and green technologies
• Engineering optimization and system integration
• Engineering design and simulation

Materials Science

The journal welcomes research on the development, characterization, and application of advanced materials that support technological advancement. Topics include:

• Nanomaterials and nanotechnology
• Smart materials and functional materials
• Biomaterials and bio-inspired materials
• Advanced composites and structural materials
• Materials characterization and testing methods
• Materials for energy storage and conversion
• Electronic and photonic materials
• Materials processing and manufacturing technologies

Mathematics and Applied Mathematics

Mathematics plays a crucial role in modeling, simulation, and analytical understanding across scientific disciplines. The journal accepts studies in:

• Applied mathematics and mathematical modeling
• Computational mathematics and numerical analysis
• Optimization methods and algorithms
• Mathematical modeling for engineering and biological systems
• Statistical modeling and data analysis
• Dynamical systems and nonlinear systems
• Operations research and decision sciences
• Mathematical approaches for artificial intelligence and machine learning
• Algebra and Abstract Algebra
• Linear Algebra and Matrix Theory
• Number Theory and Cryptographic Mathematics
• Combinatorics and Discrete Mathematics
• Graph Theory and Network Theory
• Set Theory and Mathematical Logic
• Topology and Algebraic Topology
• Differential Geometry and Geometric Analysis
• Functional Analysis
• Real Analysis
• Complex Analysis
• Measure Theory and Integration Theory
• Mathematical Modeling and Simulation
• Mathematical Methods in Engineering
• Mathematical Methods in Physics
• Mathematical Biology and Epidemiological Modeling
• Mathematical Finance and Financial Mathematics
• Operations Research and Optimization
• Mathematical Economics and Econometrics
• Mathematical Methods in Environmental Science
• Mathematical Modeling for Social Systems
• Numerical Analysis
• Numerical Linear Algebra
• Finite Element Methods
• Finite Difference Methods
• Spectral Methods
• Scientific Computing
• High Performance Numerical Computing
• Computational Modeling and Simulation
• Algorithmic Mathematics
• Linear Programming
• Nonlinear Optimization
• Integer Programming
• Convex Optimization
• Global Optimization
• Metaheuristic Optimization Algorithms
• Evolutionary Optimization Methods
• Swarm-based Optimization Techniques
• Multi-objective Optimization
• Decision Science and Optimization Modeling
• Probability Theory
• Stochastic Processes
• Statistical Modeling and Inference
• Bayesian Statistics
• Multivariate Statistical Analysis
• Time Series Analysis
• Statistical Learning and Data Analytics
• Applied Statistics for Science and Engineering
• Dynamical Systems Theory
• Chaos Theory and Nonlinear Dynamics
• Partial Differential Equations
• Ordinary Differential Equations
• Mathematical Physics
• Fluid Dynamics Modeling
• Wave Propagation and Mathematical Modeling
• Mathematical methods for artificial intelligence and machine learning
• Mathematical modeling in computer science and data science
• Mathematical optimization in engineering systems
• Mathematical modeling in smart agriculture and biological systems
• Mathematical methods in materials science and chemical processes
• Mathematical simulation in aerospace and mechanical engineering
• Data-driven mathematical modeling
• Network science and complex systems
• Mathematical methods for artificial intelligence
• Computational intelligence mathematics
• Mathematical foundations of machine learning
• Mathematical modeling for cyber-physical systems
• Mathematical methods for digital twin technologies