Journals in Computer science

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Energy and AI

ISSN: 2666-5468

Official Journal of Tianjin University Energy and AI provides a fast and authoritative open access platform to disseminate the latest research progress in the cross-disciplinary area of energy and artificial intelligence (AI). The journal focuses on innovative applications of AI that address the critical challenges in energy systems, energy materials, energy chemistry, energy utilization & conversion, and energy & society, as well as other important pressing issues in energy research. The journal also considers papers on the development of bespoke AI technologies and methodologies for advancing energy, decarbonization and sustainable development, such as data-driven approaches, optimization algorithms and AI ethics. Energy and AI aims to become a leading journal for cutting-edge research at the interface between energy and AI. Papers purely focusing on a single aspect of energy or AI are not suitable for the journal. The journal considers full length, short communications, perspective and review articles, and publishes 4 volumes per year. Focal points of the journal include, but are not limited to: Automation of science discovery related to energy materials and chemistry Digital twinning or big data analytics of complex energy processes/systems Data-driven design of energy materials, devices and systems Internet-of-things and cyber-physical energy systems AI for human factors in energy related activities Virtual reality applied to energy and environment Autonomous systems for energy efficiency maximalization Hardware for data collections in energy systems Data Science for energy applications Hybrid data-driven and physical modelling for energy related problems Intelligent control of energy systems AI, energy and society AI safety, reliability and ethics within energy applications AI for life-cycle assessment or energy and decarbonization roadmaps Energy robotics This journal welcomes contributions that support and advance the UN's sustainable development goals, in particular SDG 7 (Affordable and clean energy)

Engineering Analysis with Boundary Elements

ISSN: 0955-7997
5 Year impact factor: 2.9
Impact factor: 3.3

Aim of the Journal Engineering analysis with boundary elements is dedicated to the latest developments of engineering analysis with boundary elements, mesh reduction, and other related innovative and emerging numerical methods. The journal founded in 1984 was originally focused on the development of the Boundary Element Method. Its scope has since been expanded to include the emerging mesh reduction and meshless methods. The aim of the journal is to promote the use of non-traditional, innovative, and emerging computational methods for the analyses of modern engineering problems. Scope Engineering Analysis with Boundary Elements publishes topics including: • Boundary Element Methods • Method of Fundamental Solutions and Related Methods • Radial Basis Function Collocation Methods • Other Mesh Reduction and Meshless Methods • Particle Methods • Other Emerging and Non-Traditional Numerical Methods • Advanced Engineering Analyses and Applications

Engineering Applications of Artificial Intelligence

ISSN: 0952-1976
5 Year impact factor: 7.4
Impact factor: 8

The International Journal of Intelligent Real-Time AutomationA journal of IFAC, the International Federation of Automatic Control Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results. Papers which do not respect the 4 following conditions will be desk-rejected without being sent to reviewers:• Papers on new metaphor-based metaheuristics are very rarely accepted by EAAI (see details on this in the guide online). • The abstract should clearly specify which is the contribution in AI and which is the application in engineering. • The use of undefined acronyms in the title and in the abstract is forbidden. • The papers must be formatted in single-column format. Focal points of the journal include, but are not limited to innovative applications of: Internet–of–things and cyber-physical systems Intelligent transportation systems & smart vehicles Big data analytics, understanding complex networks Neural networks, fuzzy systems, neuro-fuzzy systems Deep learning and real world applications Self-organizing, emerging or bio-inspired system Global optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc. Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control Decision-support systems Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning Applications of chaos theory and fractals Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability Intelligent fault detection, fault analysis, diagnostics and monitoring Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises Robotics Engineering Applications of Artificial Intelligence publishes: Survey papers/tutorials Contributed papers — detailed expositions of new research or applications Case studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applications IFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literature The Editors of Engineering Applications of Artificial Intelligence wish to inform authors that this journal will not publish papers that propose "novel" metaphor-based metaheuristics, unless the authors: present their method using the normal, standard optimization terminology; show that the new method brings useful and novel concepts to the field; motivate the use of the metaphor on a sound, scientific basis; present a fair comparison with other state-of-the-art methods using state-of-the-art practices for benchmarking algorithms. For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.org Software publication We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs. For more information contact us at: [email protected]

Engineering Applications of Artificial Intelligence

Entertainment Computing

ISSN: 1875-9521
5 Year impact factor: 2.5
Impact factor: 2.8

Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal. Specific areas of interest include: • Computer, video, console and internet games • Cultural computing and cultural issues in entertainment • Digital new media for entertainment • Entertainment robots and robot like applications • Entertainment technology, applications, application program interfaces, and entertainment system architectures • Human factors of entertainment technology • Impact of entertainment technology on users and society • Integration of interaction and multimedia capabilities in entertainment systems • Interactive television and broadcasting • Interactive art and entertainment • Methodologies, paradigms, tools, and software/hardware architectures for supporting entertainment applications • Mixed, augmented and virtual reality systems for entertainment • New genres of entertainment technology • Serious Games used in education, training, and research • Simulation/gaming methodologies used in education, training, and research • Social media for entertainment In the area of empirical and experimental studies we are looking for contributions which are very well documented, innovative, and tested or evaluated in a particular entertainment domain. Software publication We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs. For more information contact us at: [email protected] Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

Environmental Science and Ecotechnology

ISSN: 2666-4984
5 Year impact factor: 12.6
Impact factor: 12.6

Environmental Science & Ecotechnology (ESE) is an international peer-reviewed and open-access journal, publishing original research on environmental science and engineering, ecotechnology, and relevant fields. ESE aims to establish an influential communication platform for scientists and engineers, policymakers, stakeholders, and professionals from academia and industry. ESE acknowledges the interdisciplinary nature of scientific research in environmental science and technology. It is specifically interested in frontier researches and transdisciplinary topics, including global change ecology, environmental science, environmental technology, and ecological technology. ESE is an open-access journal. Authors who publish in ESE will be able to make their work immediately, permanently, and freely accessible. ESE authors will have a choice of license options and retain copyright to their published work. ESE is published by Elsevier, co-organized by the Chinese Society for Environmental Sciences, Harbin Institute of Technology, and the Chinese Research Academy of Environmental Sciences, supervised by China Association for Science and Technology. ESE adheres to strict ethical publication guidelines and actively supports a culture of inclusive and representative publication. For full information on publishing your paper open access in ESE, please contact the editorial office of ESE ([email protected]).

Expert Systems with Applications

ISSN: 0957-4174
5 Year impact factor: 8.3
Impact factor: 8.5

Expert Systems With Applications is a refereed international journal whose focus is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide. The thrust of the journal is to publish original papers dealing with the design, development, testing, implementation, and/or management of expert and intelligent systems, and also to provide practical guidelines in the development and management of these systems. The journal will publish papers in expert and intelligent systems technology and application in the areas of, but not limited to: finance, accounting, engineering, marketing, auditing, law, procurement and contracting, project management, risk assessment, information management, information retrieval, crisis management, stock trading, strategic management, network management, telecommunications, space education, intelligent front ends, intelligent database management systems, medicine, chemistry, human resources management, human capital, business, production management, archaeology, economics and energy. Papers in multi-agent systems, knowledge management, neural networks, knowledge discovery, data and text mining, multimedia mining, and genetic algorithms will also be published in the journal. The journal no longer considers papers that contain applications to military/defense systems. Papers detailing algorithms which repurpose existing concepts within the framework of metaphors inspired by various systems and processes, such as natural, technical, or social ones are discouraged as this can hinder effective algorithm comparisons and scientific advancement. Submissions from this field are required to convincingly demonstrate their contribution to the field in order to be considered for further evaluation. Authors are urged to present their methods with clarity, employing standard optimization terminology, and to provide compelling explanations for how their components are adapted to specific problem-solving contexts. The emphasis is on genuine innovation rather than the renaming of existing concepts. Natural metaphor articles - new nature-inspired proposals detailed in papers must provide formal, mathematically grounded explanations for how they differ from established methods and the use of metaphors as superficial embellishments is discouraged. Reproducibility Badge Initiative and Software Publication Reproducibility Badge Initiative (RBI) is a collaboration with Code Ocean (CO), a cloud based computational reproducibility platform that helps the community by enabling sharing of code and data as a resource for non-commercial use. CO verifies the submitted code (and data) and certifies its reproducibility. Code submission will be verified by the Code Ocean team for computational reproducibility by making sure it runs, delivers results and it is self-contained. For more information please visit this help article. Note that an accepted paper will be published independently of the CO application outcome. However, if the paper receives the Reproducibility badge, it will be given additional exposure by having an attached R Badge, and by being citable at the CO website with a DOI. We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.

Future Generation Computer Systems

ISSN: 0167-739X
5 Year impact factor: 7.4
Impact factor: 7.5

The International Journal of eScience Computing infrastructures and systems are rapidly developing and so are novel ways to map, control and execute scientific applications which become more and more complex and collaborative. Computational and storage capabilities, databases, sensors, and people need true collaborative tools. Over the last years there has been a real explosion of new theory and technological progress supporting a better understanding of these wide-area, fully distributed sensing and computing systems. Big Data in all its guises require novel methods and infrastructures to register, analyze and distill meaning. FGCS aims to lead the way in advances in distributed systems, collaborative environments, high performance and high performance computing, Big Data on such infrastructures as grids, clouds and the Internet of Things (IoT). The Aims and Scope of FGCS cover new developments in: [1] Applications and application support: Novel applications for novel e-infrastructures Complex workflow applications Big Data registration, processing and analyses Problem solving environments and virtual laboratories Semantic and knowledge based systems Collaborative infrastructures and virtual organizations Methods for high performance and high throughput computing Urgent computing Scientific, industrial, social and educational implications Education [2] Methods and tools: Tools for infrastructure development and monitoring Distributed dynamic resource management and scheduling Information management Protocols and emerging standards Methods and tools for internet computing Security aspects [3] Theory: Process specification; Program and algorithm design Theoretical aspects of large scale communication and computation Scaling and performance theory Protocols and their verification