ADVANCED ENGINEERING INFORMATICS
Scope & Guideline
Advancing Knowledge in AI and Information Systems
Introduction
Aims and Scopes
- Advanced Computational Methods:
The journal emphasizes the development and application of advanced computational techniques, including machine learning, deep learning, and data mining, to solve complex engineering problems. - Digital Twin Technologies:
Research involving digital twin frameworks is a core focus, exploring how digital representations of physical systems can optimize design, monitor performance, and enhance predictive maintenance. - Human-Machine Collaboration:
The integration of human factors and machine learning in collaborative environments is highlighted, aiming to improve safety, efficiency, and productivity in engineering tasks. - Sustainable Engineering Practices:
The journal promotes research that addresses sustainability in engineering through innovative design, resource management, and lifecycle analysis. - Smart Manufacturing and Industry 4.0:
Papers often discuss the implications of Industry 4.0 technologies, including IoT, robotics, and cyber-physical systems, on manufacturing processes and operational efficiency. - Data-Driven Decision Making:
The application of data analytics for informed decision-making in engineering contexts is a recurring theme, with research focusing on predictive models and optimization techniques.
Trending and Emerging
- AI and Machine Learning Innovations:
A significant increase in papers employing cutting-edge AI methodologies, including generative models and reinforcement learning, showcases the journal's alignment with current technological trends. - Integration of Augmented and Virtual Reality:
Research integrating AR and VR technologies in engineering applications is on the rise, particularly in training and design processes, highlighting the importance of immersive technologies. - Advanced Data Analytics for Predictive Maintenance:
There is a growing emphasis on leveraging big data analytics and AI for predictive maintenance solutions, reflecting industry demands for efficiency and reliability. - Cyber-Physical Systems and IoT:
The emergence of research focusing on cyber-physical systems and the Internet of Things (IoT) indicates a trend towards interconnected systems and smart environments in engineering. - Sustainable and Circular Economy Practices:
An increasing number of papers addressing sustainability and circular economy principles in engineering design and manufacturing processes demonstrate a shift towards environmentally conscious engineering.
Declining or Waning
- Traditional Manufacturing Processes:
Research specifically focused on conventional manufacturing techniques has decreased, possibly due to the shift towards more automated and intelligent systems. - Manual Inspection Techniques:
There has been a decline in papers discussing manual inspection methods as the field increasingly adopts automated and AI-driven inspection technologies. - Basic Machine Learning Applications:
Papers that cover fundamental machine learning applications without advanced methodologies or innovative approaches are less frequently published, indicating a push towards more sophisticated techniques. - Regulatory Compliance in Isolation:
Research focusing solely on regulatory compliance without integration into broader technological frameworks appears to be waning, as interdisciplinary approaches become more favored.
Similar Journals
JOURNAL OF INTELLIGENT MANUFACTURING
Transforming Industry with AI-Driven SolutionsWelcome to the JOURNAL OF INTELLIGENT MANUFACTURING, an esteemed publication founded in 1990 and based in the Netherlands, published by Springer. With an impressive impact factor placing it within the Q1 category for fields such as Artificial Intelligence, Industrial and Manufacturing Engineering, and Software, this journal stands out as a leading resource for researchers, professionals, and students alike. Its rigorous peer-reviewed articles delve into innovative methodologies and cutting-edge technologies driving the future of manufacturing and AI, offering substantial insights into industry trends and challenges. Indexed in Scopus, the JOURNAL OF INTELLIGENT MANUFACTURING consistently ranks among the top tier of its field, affirming its role as a vital platform for intellectual exchange. Enhance your research and professional knowledge by engaging with the latest findings and developments published here.
Applied System Innovation
Transforming Ideas into Engineering ExcellenceApplied System Innovation is a leading multidisciplinary journal published by MDPI, dedicated to advancing the fields of applied mathematics, artificial intelligence, control systems, human-computer interaction, and industrial and manufacturing engineering. With an impressive Open Access model established since 2018, it ensures that research findings are readily accessible to a global audience, fostering collaboration and innovation. The journal, boasting a robust impact in academia, has achieved multiple distinguished quartile rankings for 2023, including Q1 in Industrial and Manufacturing Engineering and Q2 in several other key disciplines. It is recognized in various Scopus categories, with notable rankings in applied mathematics and control systems. By encouraging high-quality research and providing a platform for knowledge exchange, Applied System Innovation plays a vital role in shaping the future of technology and engineering solutions. We invite researchers, professionals, and students alike to contribute to this dynamic field through impactful publications that inspire advancements in our understanding of complex systems.
Machines
Unlocking potential through accessible scientific inquiry.Machines is a leading journal in the fields of engineering and computer science, published by MDPI in Switzerland since 2013. As an Open Access publication, it ensures that researchers, professionals, and students can freely access high-quality peer-reviewed research. The journal covers a diverse range of topics, including control and optimization, mechanical engineering, electrical engineering, and industrial manufacturing, boasting impressive rankings in various Scopus categories, such as Q2 in Computer Science and Control Systems Engineering. With a commitment to advancing knowledge and innovation in these critical areas, Machines serves as an essential platform for disseminating research findings and fostering collaboration within the academic community. By contributing to the ongoing dialogue in these dynamic fields, the journal plays a pivotal role in shaping the future of technology and engineering practices.
Journal of Advanced Simulation in Science and Engineering
Driving Innovation in Science and Engineering Through SimulationJournal of Advanced Simulation in Science and Engineering, published by the Japan Society for Simulation Technology (JSST), stands as a pivotal platform in the dynamic field of simulation technology, focusing on cutting-edge research and applications in science and engineering. With the ISSN and E-ISSN of 2188-5303, this journal aims to disseminate high-quality research that drives innovation and enhances understanding among practitioners, academics, and students alike. As an essential resource for those engaged in simulation methodologies, it explores a wide range of topics, including but not limited to computational modeling, virtual simulations, and their applications across various engineering disciplines. The journal is indexed in prestigious databases, aiming for a strong impact factor that reflects its commitment to scholarly excellence and relevance. Its open access policy further facilitates wider dissemination and accessibility of research findings, thereby fostering greater collaboration and advancement in the field. Researchers and professionals are encouraged to contribute their findings and insights, establishing the Journal of Advanced Simulation in Science and Engineering as a leading authority in advancing simulation technologies for future applications.
Structure and Infrastructure Engineering
Pioneering Research for Sustainable Engineering SolutionsStructure and Infrastructure Engineering, published by TAYLOR & FRANCIS LTD, is a premier academic journal that serves as a vital resource in the fields of engineering and construction. Featuring an ISSN of 1573-2479 and an E-ISSN of 1744-8980, this journal has established its reputation as a leader in disseminating high-quality research. Since its inception, it has successfully transitioned through converged years from 2007 to 2024, earning a prestigious position within the Q1 quartile across multiple engineering disciplines, including Building and Construction, Civil and Structural Engineering, and Ocean Engineering, among others. Its impact is underscored by impressive Scopus rankings, particularly its 5th rank in Ocean Engineering within the top 95th percentile. The journal’s commitment to advancing knowledge in safety, risk, reliability, and quality makes it an indispensable platform for researchers, professionals, and students aiming to stay at the forefront of engineering innovations. Access to its comprehensive articles allows for a deeper understanding of contemporary challenges and solutions in infrastructure development.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
Innovative Insights at the Intersection of Engineering and Technology.JOURNAL OF COMPUTING IN CIVIL ENGINEERING is a leading publication in the field of civil and structural engineering, with a specific focus on the application of computer science techniques in civil engineering projects. Published by the ASCE - American Society of Civil Engineers, this esteemed journal has been at the forefront of innovative research since its inception in 1987 and continues to maintain high academic standards with a remarkable impact factor. Achieving a prestigious Q1 ranking in both Civil and Structural Engineering and Computer Science Applications, it holds a commendable position within the top percentiles of Scopus ranks, at 94th and 91st respectively. The journal serves as a vital resource for researchers, practitioners, and students aiming to explore the integration of computational technologies and methodologies in civil engineering practices. By publishing cutting-edge research, it aims to advance knowledge and foster collaboration within the field, contributing significantly to the development of efficient, sustainable, and innovative engineering solutions.
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
Advancing the Future of Engineering with AI InsightsWelcome to AI EDAM - ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, a leading journal published by Cambridge University Press. This esteemed journal focuses on innovative research at the intersection of artificial intelligence and engineering design, analysis, and manufacturing, making it an essential resource for academics, industry professionals, and students alike. With an ISSN of 0890-0604 and an E-ISSN of 1469-1760, AI EDAM has established itself within the academic community, reflected in its impressive Scopus rankings: a Q3 journal in Artificial Intelligence and a Q2 journal in Industrial and Manufacturing Engineering. Covering years from 1987 to 2024, this journal emphasizes the rapidly evolving nature of engineering practices influenced by AI technologies. With robust contributions to the fields of engineering and computer science, AI EDAM serves as a crucial platform for disseminating scholarly work that fosters advancements in design and manufacturing methodologies.
Journal of Industrial Information Integration
Elevating Standards in Industrial and Information ResearchThe Journal of Industrial Information Integration, published by Elsevier, stands at the forefront of scholarly research in the fields of Industrial and Manufacturing Engineering and Information Systems and Management. With an ISSN of 2467-964X and an E-ISSN of 2452-414X, this esteemed journal provides a vital platform for disseminating innovative findings that bridge the gap between industry and academia. It is a recognized leader in its category, boasting a Q1 Quartile ranking in both relevant fields, reflecting its high-impact scholarly contributions. Notably, it ranks 3rd out of 148 in Decision Sciences and 7th out of 384 in Engineering disciplines on the Scopus rank, highlighting its significant influence within the research community. Researchers, professionals, and students engaged in the transformation of industrial practices through information integration will find this journal indispensable for accessing cutting-edge studies, methodologies, and case analyses. Operating under a closed access model, the journal also encourages submission of articles that contribute to advancing the theoretical and practical understanding of integrated industrial information systems, thus fostering innovation and progressive thinking in the field.
Data Science and Engineering
Elevating knowledge at the crossroads of technology and data.Data Science and Engineering is a premier open access journal published by SPRINGERNATURE, dedicated to advancing the fields of data science, artificial intelligence, computational mechanics, and information systems. Since its inception in 2016, this journal has rapidly established itself as a leader in the academic community, boasting an impressive Q1 ranking in multiple computer science categories, including Artificial Intelligence, Software, and Information Systems. With a commitment to disseminating high-quality research, it caters to a diverse audience of researchers, professionals, and students eager to explore the intersection of data and technology. The journal's robust global reach, combined with its respected reputation, empowers authors to share their findings widely, facilitating breakthroughs and innovations across the digital landscape. Join the vibrant community of scholars contributing to this integral field of study, and stay informed with the latest research by accessing the journal freely online.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Pioneering New Frontiers in Civil and Structural EngineeringCOMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, published by WILEY, stands as a leading journal in the domains of civil and structural engineering, computational theory, and computer-aided design since its inception in 1986. With an impressive ISSN of 1093-9687 and E-ISSN of 1467-8667, this esteemed UK-based journal holds a prestigious position in the academic community, reflected by its Q1 ranking in numerous relevant categories, including Civil and Structural Engineering and Computer Graphics as of 2023. The journal is renowned for promoting innovative research that utilizes computational techniques to solve complex engineering problems, making it an essential resource for researchers, professionals, and students alike. Despite its lack of open access options, the journal garners significant interest due to its rigorous peer-review process and high-impact articles, underlining its importance in the advancement of infrastructure engineering practices and technologies. With a Scopus ranking placing it among the top journals in various engineering and computer science fields, COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING continues to foster knowledge and collaboration, ultimately contributing to the future of smart and resilient infrastructure development.