Current Issue
Vol. 14 No. 04 (2026): Transactions on Engineering and Computing Sciences
Published:
2026-07-04
Articles
About the Journal
Transactions on Engineering and Computing Sciences (TECS; ISSN 2756-2638) is an international, peer-reviewed, fully open-access journal published by Scholar Publishing, United Kingdom. The journal publishes original research and critical reviews across engineering and the computing sciences, providing researchers, engineers, and computer and data scientists with a venue in which to communicate work that advances the theory and practice of engineering and computing and their application to real-world problems.
TECS publishes both applied and basic research, and is particularly interested in emerging fields and concepts that give direction to research and development in engineering and computing. It welcomes state-of-the-art contributions reporting applications, techniques and algorithms, together with theoretical advances. As a member of the Committee on Publication Ethics (COPE), TECS follows the COPE Core Practices and observes the joint Principles of Transparency and Best Practice in Scholarly Publishing. The journal was formerly titled Transactions on Machine Learning and Artificial Intelligence (ISSN 2054-7390).
Aims & Scope
TECS aims to serve as a bridge between fundamental research and practical innovation. It welcomes work spanning the full arc of scholarly enquiry, from mathematical foundations, formal analysis and algorithm design, through modelling, simulation and system implementation, to real-world deployment and empirical evaluation; and it particularly encourages research on emerging fields and concepts that give direction to future research and development in engineering and computing. The journal publishes both applied and basic research, covering all areas of engineering, computer science and artificial intelligence, and imposes no fixed restriction on the length of papers, provided the length is justified by the content and full details are given so that results can be reproduced. By operating a fully open-access model, TECS ensures that its content is freely and immediately available to researchers, engineers, practitioners, educators and policymakers worldwide, maximising the reach, reproducibility and societal impact of the research it publishes.
Subject Coverage
The journal welcomes work across the following areas, among others.
Computer science and software engineering
- Algorithms and data structures
- theory of computation and computational complexity
- programming languages, compilers and runtime systems
- software engineering, software architecture and design
- software testing, verification and validation
- formal methods
- empirical software engineering
- software maintenance and evolution
- DevOps and software processes
- human–computer interaction and user-experience engineering
- computer graphics and visualisation
Artificial intelligence and machine learning
- Supervised, unsupervised, semi-supervised, self-supervised and reinforcement learning
- deep learning architectures, including convolutional, recurrent (LSTM, GRU) and transformer models
- representation learning
- natural-language processing and large language models
- computer vision and image processing
- speech and audio processing
- knowledge representation and reasoning
- planning and multi-agent systems
- explainable, trustworthy, fair and responsible AI
- generative models
- AI safety, robustness and alignment
Data science, data mining and knowledge discovery
- Data mining and pattern recognition
- clustering, classification and anomaly detection
- big-data analytics and data-intensive computing
- time-series analysis and forecasting (including statistical and machine-learning approaches such as ARIMA and deep sequence models)
- recommender systems
- information retrieval and search
- data engineering and data quality
- applied analytics for scientific, industrial, economic and social problems
Computational intelligence and soft computing
- Fuzzy systems, fuzzy logic and fuzzy control
- evolutionary computation and genetic algorithms
- swarm intelligence
- neural and neuro-fuzzy systems
- metaheuristics
- hybrid intelligent systems
- cognitive computing and cognitive science as they relate to computational modelling
Intelligent systems, robotics and autonomous systems
- Robotics research, perception, planning and control
- autonomous vehicles and unmanned systems
- human–robot interaction
- mechatronics
- motion planning and navigation
- intelligent control systems
Embedded systems, cyber-physical systems and the Internet of Things
- Embedded and real-time systems
- system-on-chip and hardware/software co-design
- cyber-physical systems
- the Internet of Things (IoT) and industrial IoT
- sensor networks and edge intelligence
- IoT data management, privacy and security
Networks, distributed systems, cloud and high-performance computing
- Computer and communication networks
- wireless, mobile and industrial networks
- cloud, edge and fog computing
- distributed and parallel computing
- high-performance and scientific computing
- service-oriented and microservice architectures
- blockchain and distributed-ledger technologies
- network performance, reliability and management
Cybersecurity, privacy and trust
- Information and network security
- cryptography and applied cryptography
- privacy-enhancing technologies
- secure and dependable systems
- intrusion detection and threat intelligence
- software and hardware security
- digital forensics
- security and privacy for IoT, cloud and AI systems
Databases, information systems and web computing
- Database systems and management
- query processing and optimisation
- data warehousing
- information retrieval
- semantic web and knowledge graphs
- web and internet computing
- enterprise and management information systems
Electrical, electronic and communication engineering
- Electrical and electronic engineering
- circuits and systems
- signal and image processing
- communication theory and systems
- antennas and propagation
- power systems, power electronics and renewable-energy integration
- instrumentation and measurement
- control engineering
Mechanical, civil, chemical and industrial engineering
- Mechanical engineering, design and manufacturing
- thermofluids and energy systems
- materials and structural engineering
- civil and construction engineering
- chemical and process engineering
- industrial and systems engineering
- manufacturing systems and Industry 4.0
- reliability, maintenance and quality engineering
- engineering management and management sciences
Mathematical modelling, optimisation and computational methods
- Mathematical and statistical modelling
- numerical methods and scientific computing
- optimisation (continuous, discrete, combinatorial and multi-objective)
- operations research
- simulation and system dynamics
- decision-support and computational methods applied to engineering and computing problems
Applied, interdisciplinary and geospatial computing
- Engineering informatics
- geographical information systems (GIS) and global navigation satellite systems (GNSS)
- computational science and engineering
- digital twins
- the application of computing and engineering to industry, business, transport and logistics, healthcare, energy, the environment, smart cities and society — including digital transformation, technology management and the socio-technical dimensions of engineering and computing innovation
