Journals in Artificial intelligence

AI Open

ISSN: 2666-6510

AI Open is a freely accessible platform to share actionable knowledge and forward-thinking perspectives on the theory of artificial intelligence and its applications. The journal welcomes research articles, review papers, perspectives, short communications and technical notes on all aspects of artificial intelligence and its applications.Topics covered include, but are not limited to:Deep learning and representation learningGraph theory and graph miningConstraints, satisfiability, and searchKnowledge representation, reasoning, and logicMachine learning and data miningKnowledge graph and applicationsAgent-based and multi-agent systemsWeb and knowledge-based information systemsNatural language processingImage processing and analysisUncertaintyBrain-based LearningImplicit Cognition and LearningEditorial Board

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AI Thermal Fluids

ISSN: 3050-5852

AI-Thermal/Fluids (AITF) is dedicated to exploratory research and advancements at the intersection of artificial intelligence (AI) and thermal-fluid science and engineering. The journal publishes full length Research Articles, Rapid Communications, Reviews, Letters to the Editor, and Vision Articles. It also publishes Original Software articles that describe and provide access to open-source software and Data Articles that describe and provide access to research data.AITF welcomes research that leverages AI techniques, such as machine learning, neural networks and data analytics, to promote fundamental understanding, improve prediction capabilities, solve problems and design or optimize thermal-fluid systems, with a view to stimulating innovation across a broad range of science and engineering applications. Contributions may include AI-driven modelling, simulation, data enhancement, AI-assisted experimentation, and control methodologies, among others.The list of focus areas includes (but is not limited to):Experimental Methodologies and Measurement Techniques: AITF showcases efforts to develop AI-based experimental methodologies, measurement techniques, and instrumentation for characterizing the thermal, mass transfer, reaction and/or fluid-flow dynamics aspects of a wide range of transport phenomena and processes. Modelling and Simulation: AITF publishes studies on the development of AI-based methodologies to design, model or predict material properties, transport phenomena and processes, enhance the capabilities of physics-based modelling and simulation tools, and analyse the data they generate, either in support of or independently from experimental measurements. Fluid Dynamics and Thermal Transport Phenomena: AITF seeks contributions aiming to elucidate transport phenomena. Examples are fluid flow behaviour, including turbulence, and transport processes within diverse flows, including single phase and multiphase flows, both isothermal and diabatic, as well as flows in the presence of phase change and reactive flows. AI-based approaches to process and analyse high throughput data, characterize flow dynamics, phase distribution, heat and mass transfer, reactions, and fluid-solid interactions are encouraged. Process Enhancement: AITF encourages the submission of articles focusing on innovative approaches to enhance heat and mass transfer or chemical processes in a wide range of devices, systems and applications. This encompasses design and operational optimization of heat exchangers, absorbers, separators, or reactors, the development of novel management approaches, surface modification techniques, and other passive and active enhancement strategies. Materials Properties: AITF welcomes research focused on the evaluation of thermophysical, thermochemical or thermodynamic materials properties relevant to the phenomena, problems, and applications of interest to the journal. This includes AI-based methods for predicting properties such as thermal conductivity, viscosity, density, phase behaviour, and other crucial attributes for accurate modelling, simulation, and optimization. Energy Exchange and Conversion: AITF features research addressing energy exchange and transformation mechanisms and their implications in engineering applications. This includes AI-driven optimization of energy harvesting techniques, energy conversion processes, energy storage, and sustainable energy technologies.Environmental and Sustainable Applications: AITF promotes efforts to address the economic and environmental implications of relevant processes, including renewable energy technologies, energy recover and management and energy efficiency in industry, buildings and the built environment, pollution mitigation, carbon capture and storage, and a wide range of other sustainable energy production, storage, or utilization technologies.

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Advanced Bionics

ISSN: 2950-3876

Advanced Bionics (ABS) is an international peer-reviewed, open access journal that publishes original research papers, reviews, letters, editorials, highlights, perspectives, comments and news.ABS focuses on the study of novel principles and functions observed in biological systems, as well as the application of this knowledge to address real-world scientific challenges.ABS aims to lead advancements in fundamental bionic research, pushing the boundaries of novel bionic investigations and fostering disruptive technologies within the field. Submissions to the journal are expected to provide fresh insights, possess scientific impact and a high level of quality, as well as contribute to shaping the future of bionic research.As an interdisciplinary journal, ABS covers a wide array of topics, including but not limited to:(1) Bionic Robotics, Electronics, and Intelligent Devices (2) Bio-inspired Artificial Intelligence (3) Biomechanics and Bionic Healthcare Engineering (4) Bio-inspired Functional Surfaces/Interfaces (5) Bio-inspired Functional Materials and Biosensors (6) Bio-inspired Energy System (7) Bio-manufacturing and Bionic Manufacturing (8) Bio-inspired structures and designEditorial Board

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Applied Soft Computing

ISSN: 1568-4946
5 Year impact factor: 7
Impact factor: 7.2

The Official Journal of the World Federation on Soft Computing (WFSC) http://www.softcomputing.orgApplied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems. Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The focus is to publish the highest quality research in application, advance and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Swarm Intelligence and other similar techniques to address real world complexities.Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.Major Topics:The scope of this journal covers the following soft computing and related techniques, interactions between several soft computing techniques, and their industrial applications:Evolutionary ComputingFuzzy ComputingHybrid MethodsImmunological ComputingNeuro ComputingSwarm IntelligenceMachine and Deep LearningRough SetsThe application areas of interest include but are not limited to applications of soft computing to:Agricultural Machinery, Smart FarmingAutonomous ReasoningBig Data, IoT, Edge ComputingCombinatorial OptimizationData MiningDecision SupportEngineering Design OptimizationFault DiagnosisFinanceHuman-Machine InterfaceIntelligent AgentsManufacturing SystemsPower ElectronicsMulti-objective OptimizationPower and EnergyProcess and System ControlRoboticsSecuritySensor SystemsSignal or Image ProcessingSoftware EngineeringSupply Chain EconomySystem Identification and ModellingTelecommunicationsTime Series PredictionExtended Reality, Metaverse, Digital TwinsVision or Pattern RecognitionAuthors are welcome to submit letters promoting original soft computing research to Applied Soft Computing's open access companion title, Systems and Soft Computing.

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Artificial Intelligence

ISSN: 0004-3702
5 Year impact factor: 4.8
Impact factor: 5.1

The journal of Artificial Intelligence (AIJ) welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to, cognition and AI, automated reasoning and inference, case-based reasoning, commonsense reasoning, computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine learning, multi-agent systems, natural language processing, planning and action, and reasoning under uncertainty. The journal reports results achieved in addition to proposals for new ways of looking at AI problems, both of which must include demonstrations of value and effectiveness.Papers describing applications of AI are also welcome, but the focus should be on how new and novel AI methods advance performance in application areas, rather than a presentation of yet another application of conventional AI methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an indepth evaluation of the AI techniques being exploited.Apart from regular papers, the journal also accepts Research Notes, Research Field Reviews, Position Papers, and Book Reviews (see details below). The journal will also consider summary papers that describe challenges and competitions from various areas of AI. Such papers should motivate and describe the competition design as well as report and interpret competition results, with an emphasis on insights that are of value beyond the competition (series) itself.From time to time, there are special issues devoted to a particular topic. Such special issues must always have open calls-for-papers. Guidance on the submission of proposals for special issues, as well as other material for authors and reviewers can be found at http://aij.ijcai.org/special-issues.Types of PapersRegular PapersAIJ welcomes basic and applied papers describing mature, complete, and novel research that articulate methods for, and provide insight into artificial intelligence and the production of artificial intelligent systems. The question of whether a paper is mature, complete and novel is ultimately determined by reviewers and editors on a case-bycase basis. Generally, a paper should include a convincing motivational discussion, articulate the relevance of the research to Artificial Intelligence, clarify what is new and different, anticipate the scientific impact of the work, include all relevant proofs and/or experimental data, and provide a thorough discussion of connections with the existing literature. A prerequisite for the novelty of a paper is that the results it describes have not been previously published by other authors and have not been previously published by the same authors in any archival journal. In particular, a previous conference publication by the same authors does not disqualify a submission on the grounds of novelty. However, it is rarely the case that conference papers satisfy the completeness criterion without further elaboration. Indeed, even prize-winning papers from major conferences often undergo major revision following referee comments, before being accepted to AIJ.AIJ caters to a broad readership. Papers that are heavily mathematical in content are welcome but should include a less technical high-level motivation and introduction that is accessible to a wide audience and explanatory commentary throughout the paper. Papers that are only purely mathematical in nature, without demonstrated applicability to artificial intelligence problems may be returned. A discussion of the work's implications on the production of artificial intelligent systems is normally expected.There is no restriction on the length of submitted manuscripts. However, authors should note that publication of lengthy papers, typically greater than forty pages, is often significantly delayed, as the length of the paper acts as a disincentive to the reviewer to undertake the review process. Unedited theses are acceptable only in exceptional circumstances. Editing a thesis into a journal article is the author's responsibility, not the reviewers'.Research NotesThe Research Notes section of the Journal of Artificial Intelligence will provide a forum for short communications that cannot fit within the other paper categories. The maximum length should not exceed 4500 words (typically a paper with 5 to 14 pages). Some examples of suitable Research Notes include, but are not limited to the following: crisp and highly focused technical research aimed at other specialists; a detailed exposition of a relevant theorem or an experimental result; an erratum note that addresses and revises earlier results appearing in the journal; an extension or addendum to an earlier published paper that presents additional experimental or theoretical results.ReviewsThe AIJ invests significant effort in assessing and publishing scholarly papers that provide broad and principled reviews of important existing and emerging research areas, reviews of topical and timely books related to AI, and substantial, but perhaps controversial position papers (so-called "Turing Tape" papers) that articulate scientific or social issues of interest in the AI research community.Research Field Reviews: AIJ expects broad coverage of an established or emerging research area, and the articulation of a comprehensive framework that demonstrates the role of existing results, and synthesizes a position on the potential value and possible new research directions. A list of papers in an area, coupled with a summary of their contributions is not sufficient. Overall, a field review article must provide a scholarly overview that facilitates deeper understanding of a research area. The selection of work covered in a field article should be based on clearly stated, rational criteria that are acceptable to the respective research community within AI; it must be free from personal or idiosyncratic bias.Research Field Reviews are by invitation only, where authors can then submit a 2-page proposal of a Research Field Review for confirmation by the special editors. The 2-page proposal should include a convincing motivational discussion, articulate the relevance of the research to artificial intelligence, clarify what is new and different from other surveys available in the literature, anticipate the scientific impact of the proposed work, and provide evidence that authors are authoritative researchers in the area of the proposed Research Field Review. Upon confirmation of the 2-page proposal, the full Invited Research Field Reviews can then be submitted and then undergoes the same review process as regular papers.Book Reviews: We seek reviewers for books received, and suggestions for books to be reviewed. In the case of the former, the review editors solicit reviews from researchers assessed to be expert in the field of the book. In the case of the latter, the review editors can either assess the relevance of a particular suggestion, or even arrange for the refereeing of a submitted draft review.Position Papers: The last review category, named in honour of Alan Turing as a "Turing Tapes" section of AIJ, seeks clearly written and scholarly papers on potentially controversial topics, whose authors present professional and mature positions on all variety of methodological, scientific, and social aspects of AI. Turing Tape papers typically provide more personal perspectives on important issues, with the intent to catalyze scholarly discussion.Turing Tape papers are by invitation only, where authors can then submit a 2-page proposal of a Turing Tape paper for confirmation by the special editors. The 2-page proposal should include a convincing motivational discussion, articulate the relevance to artificial intelligence, clarify the originality of the position, and provide evidence that authors are authoritative researchers in the area on which they are expressing the position. Upon confirmation of the 2-page proposal, the full Turing Tape paper can then be submitted and then undergoes the same review process as regular papers.Competition PapersCompetitions between AI systems are now well established (e.g. in speech and language, planning, auctions, games, to name a few). The scientific contributions associated with the systems entered in these competitions are routinely submitted as research papers to conferences and journals. However, it has been more difficult to find suitable venues for papers summarizing the objectives, results, and major innovations of a competition. For this purpose, AIJ has established the category of competition summary papers.Competition Paper submissions should describe the competition, its criteria, why it is interesting to the AI research community, the results (including how they compare to previous rounds, if appropriate), in addition to giving a summary of the main technical contributions to the field manifested in systems participating in the competition. Papers may be supplemented by online appendices giving details of participants, problem statements, test scores, and even competition-related software.Although Competition Papers serve as an archival record of a competition, it is critical that they make clear why the competition's problems are relevant to continued progress in the area, what progress has been made since the previous competition, if applicable, and what were the most significant technical advances reflected in the competition results. The exposition should be accessible to a broad AI audience.

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Artificial Intelligence in Agriculture

ISSN: 2589-7217

Artificial Intelligence (AI) techniques are widely used to solve a variety of problems and to optimize the production and operation processes in the fields of agriculture, food and bio-system engineering.Artificial Intelligence in Agriculture is an Open Access journal, publishing original research, reviews and perspectives on the theory and practice of artificial intelligence (AI) in agriculture, food and bio-system engineering and related areas. Artificial Intelligence in Agriculture serves as an interdisciplinary forum to share ideas and solutions related to artificial intelligence and applications in agriculture. The journal welcomes both fundamental science and applied research describing the practical applications of AI methods in the fields of agriculture, food - and bio-system engineering and related areas.Topics of interest to the journal include, but are not limited to:AI-based decision support systemsAI-based precision agricultureSmart sensors and Internet of ThingsAgricultural robotics and automation equipmentAgricultural knowledge-based systemsComputational intelligence in agriculture, food and bio-systemsAI in agricultural optimization managementIntelligent interfaces and human-machine interactionMachine vision and image/signal processingMachine learning and pattern recognitionNeural networks, fuzzy systems, neuro-fuzzy systemsSystems modeling and analysisIntelligent systems for animal feedingExpert systems in agricultureCrop Phenotyping and analysisRemote sensing in agricultureAI technology in aquicultureAI in food engineering and cold chain logisticsBig Data and Cloud ComputingAutomatic navigation and self-driving technologyPrecision agricultural aviationDistributed ledger technology (Blockchain)The journal welcomes original research articles, review articles, perspective papers and short communications. The journal's editorial leadership welcome suggestions and proposals for special issues.Editorial Board

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Artificial Intelligence in Geosciences

ISSN: 2666-5441

Artificial intelligence (AI) is one of the fastest growing disciplines in electronic information technology. Along with diversified data, AI-enabled technologies such as image processing, smart sensors, and intelligent inversion, are being tested by researchers in a wide variety of geosciences domains. These technologies have the potential to help geosciences move from qualitative to quantitative analysis. We believe that taking an interdisciplinary approach will deliver benefits to both geosciences and AI.Artificial Intelligence in Geosciences is an open access journal providing an interdisciplinary forum where ideas and solutions related to artificial intelligence and its applications in geosciences can be shared and discussed. To support this discussion, we encourage authors to open source their code, data, and the labels used in AI.We welcome both fundamental science and applied research describing the practical applications of AI methods in the fields of geology, rock physics, seismicity, hydrology, ecology, marine geosciences, planetary science, environment, volcanology, oceanography, remote sensing and GIS, and related areas.Submissions to Artificial Intelligence in Geosciences may take the form of original research articles, review articles, perspective papers, or short communications, and a variety of topics will be considered. These include, but are not limited to:AI-based decision support systemsAI-based precision geosciencesSmart sensors and the Internet of ThingsGeosciences robotics and automation equipmentGeosciences knowledge-based systemsComputational intelligence in geosciencesAI in geosciences optimization managementIntelligent interfaces and human-machine interactionMachine vision and image/signal processingMachine learning and pattern recognitionNeural networks, fuzzy systems, neuro-fuzzy systemsSystems modeling and analysisExpert systems in geosciencesBig data and cloud computing in geosciencesAutomatic navigation and self-driving technologyHigh Performance Computing in the context of Machine LearningArtificial Intelligence in Geosciences also welcomes suggestions and proposals for special issues.Editorial Board

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Artificial Intelligence in Medicine

ISSN: 0933-3657
5 Year impact factor: 7.1
Impact factor: 6.1

Artificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, medically-oriented human biology, and health care.Artificial intelligence in medicine may be characterized as the scientific discipline pertaining to research studies, projects, and applications that aim at supporting decision-based medical tasks through knowledge- and/or data-intensive computer-based solutions that ultimately support and improve the performance of a human care provider.Artificial Intelligence in Medicine considers for publication manuscripts that have both:• Potential high impact in some medical or healthcare domain; • Strong novelty of method and theory related to AI and computer science techniques.Artificial Intelligence in Medicine papers must refer to real-world medical domains, considered and discussed at the proper depth, from both the technical and the medical points of view. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended.Artificial Intelligence in Medicine is looking for novelty in the methodological and/or theoretical content of submitted papers. Such kind of novelty has to be mainly acknowledged in the area of AI and Computer Science. Methodological papers deal with the proposal of some strategy and related methods to solve some scientific issues in specific domains. They must show, usually through an experimental evaluation, how the proposed methodology can be applied to medicine, medically-oriented human biology, and health care, respectively. They have also to provide a comparison with other proposals, and explicitly discuss elements of novelty. Theoretical papers focus on more fundamental, general and formal topics of AI and must show the novel expected effects of the proposed solution in some medical or healthcare field.Following the information explosion brought by the diffusion of Internet, social networks, cloud computing, and big-data platforms, Artificial Intelligence in Medicine has broadened its perspective. Particular attention is given to novel research work pertaining to:AI-based clinical decision making;Medical knowledge engineering;Knowledge-based and agent-based systems;Computational intelligence in bio- and clinical medicine;Intelligent and process-aware information systems in healthcare and medicine;Natural language processing in medicine;Data analytics and mining for biomedical decision support;New computational platforms and models for biomedicine;Intelligent exploitation of heterogeneous data sources aimed at supporting decision-based and data-intensive clinical tasks;Intelligent devices and instruments;Automated reasoning and meta-reasoning in medicine;Machine learning in medicine, medically-oriented human biology, and healthcare;AI and data science in medicine, medically-oriented human biology, and healthcare;AI-based modeling and management of healthcare pathways and clinical guidelines;Models and systems for AI-based population health;AI in medical and healthcare education;Methodological, philosophical, ethical, and social issues of AI in healthcare, medically-oriented human biology, and medicine.If you are considering submitting to Artificial Intelligence in Medicine, make sure that your paper meets the quality requirements mentioned above. English exposition must also be clear and revised with due care. Authors are kindly requested to revise their manuscripts with the help of co-authors that are fluent in English or language editing services before submitting their contribution. Papers written in poor English are likely to be rejected.The mere application of well-known or already published algorithms and techniques to medical data is not regarded as original research work of interest for Artificial Intelligence in Medicine, but it may be suitable for other venues.Artificial Intelligence in Medicine features the following kinds of papers:Original research contributions: Theoretical and/or methodological papers about novel approaches;Methodological reviews/surveys: Papers that collect, classify, describe, and critically analyze research designs, methods and procedures;Position papers: Papers that gather, describe, and analyze the scientific challenges of a specific field, founding them on the related literature;Editorials: Editors will occasionally publish editorials;Guest editorials: Editors can invite guest editors of special issues to publish editorials. Unsolicited editorials will not be considered;Letters to the editor: Letters from readers shortly discussing and commenting on a topic of interest, for example based on recently published articles in the journal Artificial Intelligence in Medicine;Book reviews: A critical review of recently published books;Erratum: Some specific corrections to results previously published in the journal Artificial Intelligence in Medicine;Historical perspectives: Papers that describe and critically review some specific aspects in the history of scientific contributions and applications;In memoriam: Papers describing the life and the main scientific contributions of scientists passed away, having had an important role in the area of artificial intelligence in medicine;PhD projects: Early publications about more recent research trends, having the goal of allowing PhD candidates to explain their PhD research project and to share it with other scientists interested in the topic. Such type of papers should focus on the overall goals and approaches of PhD research projects, without considering in detail the specific scientific results obtained, which would be the focus of other research articles.Special Issues are regularly published and included among regular issues. Artificial Intelligence in Medicine special issues deal with current theoretical/methodological research or convincing applications related to AI in medicine. Special Issues are managed by one or more guest editors who are outstanding experts on the selected topic.Special Issues of Artificial Intelligence in Medicine are directly proposed to potential guest editors by the Editor in Chief, also according to suggestions from the editorial board members."External" proposals of Special Issues will no longer be considered.Artificial Intelligence in Medicine does not publish conference volumes or conference papers. However, selected and high-quality research results presented earlier at conferences may be published in Artificial Intelligence in Medicine, in the form of a thoroughly revised (rephrased) and extended (including new research results) original research paper.Information for authors and further details about the editorial process can be found in the Guide for Authors section of the Artificial Intelligence in Medicine web page.

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Artificial Intelligence in the Life Sciences

ISSN: 2667-3185

Providing a scientific forum for practical applications and theoretical advances of Artificial Intelligence (AI) in the life sciences and related disciplines including (but not restricted to):New AI methods for life science researchAdaptation of existing AI concepts for life science applicationsApplication of AI approaches in: Molecular and systems biologyPopulation and disease geneticsBio- and cheminformaticsMedicinal chemistry, chemical biology, and drug discoveryMedical researchPublications are required to contain substantial AI and life science components. Clinical studies reporting routine diagnostic efforts hall outside the scope of AILSCI.Background: Artificial Intelligence originates from computer science and covers a wide range of approaches intended to enhance the ability of machines to make data-driven decisions and accurate predictions of events. In many scientific fields, AI is being increasingly considered and integrated, especially in the context of Big Data. Given their complexity and highly interdisciplinary nature, the life sciences provide ample opportunities for AI to impact R&D efforts in a variety of ways.Key words: Artificial Intelligence; Life Sciences; Drug Discovery; Bio- and Cheminformatics, Machine Learning; Machine Intelligence; Deep Learning; Data Mining; Big Data.

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Biomaterials Advances

ISSN: 0928-4931
5 Year impact factor: 5.5
Impact factor: 5.5

Formerly known as Materials Science and Engineering: C, with a 2022 IF of 7.9.Biomaterials Advances includes topics at the interface of the biomedical sciences and materials engineering. These topics include: Bioinspired and biomimetic materials for medical applicationsMaterials of biological origin for medical applicationsMaterials for "active" medical applicationsSelf-assembling and self-healing materials for medical applications"Smart" (i.e., stimulus-response) materials for medical applicationsCeramic, metallic, polymeric, and composite materials for medical applicationsMaterials for in vivo sensingMaterials for in vivo imagingMaterials for delivery of pharmacologic agents and vaccinesNovel approaches for characterizing and modeling materials for medical applicationsManuscripts on biological topics without a materials science component, or manuscripts on materials science without biological applications, will not be considered for publication in Biomaterials Advances. New submissions are first assessed for language, scope and originality (plagiarism check) and can be desk rejected before review if they need English language improvements, are out of scope or present excessive duplication with published sources.Biomaterials Advances sits within Elsevier's biomaterials science portfolio alongside Biomaterials, Materials Today Bio and Biomaterials and Biosystems. As part of the broader Materials Today family, Biomaterials Advances offers authors rigorous peer review, rapid decisions, and high visibility. We look forward to receiving your submissions!

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Related subjects

Artificial intelligence expert systems and knowledge based systems

Artificial intelligence general

Cognitive science

Computer human interaction

Evolutionary computation genetic algorithms programming

Fuzzy logic

Machine learning

Natural language and computational linguistics

Neural networks

Reasoning

Robotics and autonomous systems

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Journals in Artificial intelligence

AI Open

AI Thermal Fluids

Advanced Bionics

Applied Soft Computing

Artificial Intelligence

Artificial Intelligence in Agriculture

Artificial Intelligence in Geosciences

Artificial Intelligence in Medicine

Artificial Intelligence in the Life Sciences

Biomaterials Advances

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