Neural networks journals | Elsevier

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.

Subscribe

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!

Subscribe

Cognitive Systems Research

ISSN: 1389-0417
5 Year impact factor: 3
Impact factor: 2.1

Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies. Note that the journal does not publish clinical and medical papers. We also do not publish pure machine learning papers, e.g. studies proposing variants of classifiers or pure algorithmic improvements that bear no connection to cognitive systems research in the sense above.Additionally, Cognitive Systems Research plays a special role in fostering and promoting the 'BICA Challenge' to create a real-life computational equivalent of the human mind by devoting two special issues to BICA AI (Brain-Inspired Cognitive Architectures for Artificial Intelligence) related topics each year.

Subscribe

Computers & Electrical Engineering

ISSN: 0045-7906
5 Year impact factor: 3.8
Impact factor: 4

The journal Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and communication and information systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like:Signal ProcessingPower Engineering (including renewable and green energies)Artificial Intelligence - methods and applicationsSecurityPrivacyCommunicationThe journal regularly publishes special sections covering specific topics of interest. Proposals for special sections should be submitted to the Editor-in-Chief. The list of current special sections can be found at https://www.sciencedirect.com/journal/computers-and-electrical-engineering/special-issues.Contributions should be submitted online following the guidelines in the Guide for Authors.

Subscribe

Fuzzy Sets and Systems

ISSN: 0165-0114
5 Year impact factor: 3.1
Impact factor: 3.2

An International Journal in Information Science and Engineering Official Publication of the International Fuzzy Systems Association (IFSA)Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies.In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.Fuzzy set-based techniques are also an important ingredient in the development of information technologies. In the field of information processing fuzzy sets are important in clustering, data analysis and data fusion, pattern recognition and computer vision. Fuzzy rule-based modeling has been combined with other techniques such as neural nets and evolutionary computing and applied to systems and control engineering, with applications to robotics, complex process control and supervision. In thefield of information systems, fuzzy sets play a role in the development of intelligent and flexible manBmachine interfaces and the storage of imprecise linguistic information. In Artificial Intelligence various forms of knowledge representation and automated reasoning frameworks benefit from fuzzy set-based techniques, for instance in interpolative reasoning, non-monotonic reasoning, diagnosis, logic programming, constraint-directed reasoning, etc. Fuzzy expert systems have been devised for fault diagnosis,and also in medical science. In decision and organization sciences, fuzzy sets has had a great impact in preference modeling and multicriteria evaluation, and has helped bringing optimization techniques closer to the users needs. Applications can be found in many areas such as management, production research, and finance. Moreover concepts and methods of fuzzy set theory have attracted scientists in many other disciplines pertaining to human-oriented studies such as cognitive psychology and some aspects of social sciences.The scope of the journal Fuzzy Sets and Systems has expanded so as to account for all facets of the field while emphasizing its specificity as bridging the gap between the flexibility of human representations and the precision and clarity of mathematical or computerized representations, be they numerical or symbolic.The journal welcomes original and significant contributions in the area of Fuzzy Sets whether on empirical or mathematical foundations, or their applications to any domain of information technology, and more generally to any field of investigation where fuzzy sets are relevant. Applied papers demonstrating the usefulness of fuzzy methodology in practical problems are particularly welcome. Fuzzy Sets and Systems publishes high-quality research articles, surveys as well as case studies. Separate sections are Recent Literature, and the Bulletin, which offers research reports, book reviews and conference announcements and various news items. Invited review articles on topics of general interest are included and special issues are published regularly.

Subscribe

Information Fusion

ISSN: 1566-2535
5 Year impact factor: 16.1
Impact factor: 14.7

An International Journal on Multi-Sensor, Multi-Source Information FusionThe journal is intended to present within a single forum all of the developments in the field of multi-sensor, multi-source, multi-process information fusion and thereby promote the synergism among the many disciplines that are contributing to its growth. The journal is the premier vehicle for disseminating information on all aspects of research and development in the field of information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome. The journal publishes original papers, letters to the Editors and from time to time invited review articles, in all areas related to the information fusion arena including, but not limited to, the following suggested topics:• Data/Image, Feature, Decision, and Multilevel Fusion • Multi-classifier/Decision Systems • Multi-Look Temporal Fusion • Multi-Sensor, Multi-Source Fusion System Architectures • Distributed and Wireless Sensor Networks • Higher Level Fusion Topics Including Situation Awareness And Management • Multi-Sensor Management and Real-Time Applications • Adaptive And Self-Improving Fusion System Architectures • Active, Passive, And Mixed Sensor Suites • Multi-Sensor And Distributed Sensor System Design • Fusion Learning In Imperfect, Imprecise And Incomplete Environments • Intelligent Techniques For Fusion Processing • Fusion System Design And Algorithmic Issues • Fusion System Computational Resources and Demands Optimization • Special Purpose Hardware Dedicated To Fusion Applications • Mining Remotely Sensed Multi-Spectral/Hyper-Spectral Image Data Bases • Information Fusion Applications in Intrusion Detection, Network Security, Information Security and Assurance arena • Applications such as Robotics, Space, Bio-medical, Transportation, Economics, and Financial Information Systems • Real-World Issues such as Computational Demands, Real-Time Constraints in the context of Fusion systems.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

Subscribe

Intelligent Systems with Applications

ISSN: 2590-1885

Intelligent Systems with Applications (ISWA) is a peer reviewed open-access journal which focuses on the achievements of research and applications related to intelligent systems (IS). IS can be applied to all aspects of human enterprize, such as business & finance, manufacturing & supply chains, agriculture, transportation, engineering, medicine and health, education, entertainment, culture, travel, media, the Internet, etc. ISWA covers a broad spectrum of applications in the community, including industry, government, and academia.The journal aims to publish papers dealing with, but not limited to, the following research fields: Knowledge Representation and Reasoning, Machine Learning (ML) and Neural Computing, Evolutionary Computation, Fuzzy Systems, Intelligent Information Processing, Intelligent Control and Robotics, Multi-agent Systems and Programming.The journal welcomes submissions of IS-applications in various areas: Intelligent Cities, Industries, Consuming, Medical Treatment and Health, Agriculture, Business and Finance, Internet of Things (IoT). Research addressing IS-applications in other fields is also encouraged.Submissions must be novel, technically sound, and clearly presented. ISWA accepts both regular papers and survey articles. Submissions meeting journal criteria will undergo a single-blind review process, utilizing a minimum of two (2) external referees. Our dedicated editorial team, together with active researchers from related fields, will ensure that papers move through the evaluation and review as rapidly as possible without compromising on the quality of the process.The journal audience comprises academia, industry, and practitioners. Authors are strongly encouraged to make their datasets and software publicly accessible via a repository of their choosing. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center.Software PublicationWe 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] points include, but are not limited to innovative applications of:Basic TheoryKnowledge Representation and ReasoningMachine Learning (ML) and Neural ComputingEvolutionary ComputationFuzzy SystemsIntelligent MethodologyIntelligent Information Processing (Video, Image, Audio, Language and other Multi-modal Information)Data Ming and Knowledge DiscoveryPattern Recognition (PR) and Computer Vision (CV)Audio Signal ProcessingNatural Language Processing (NLP)Intelligent Control and RoboticsMulti-agent Systems and ProgrammingIntelligent ApplicationsIntelligent CitiesIntelligent TransportationIntelligent Systems for Security and ManagementIntelligent Systems for IndustryIntelligent Supply ChainUnmanned factory and flexible manufacturingUnmanned WarehouseService RobotIntelligent Systems for ConsumingIntelligent Hardware and Smart Wearable DevicesIntelligent FurnitureNew RetailsUnmanned Driving and Autonomous SystemsIntelligent Systems for Medical Treatment and HealthIntelligent Systems for AgricultureIntelligent Systems for Business and FinanceInternet of Things and its Applications

Subscribe

Intelligent Systems with Applications

ISSN: 2667-3053

Intelligent Systems with Applications (ISWA) is a peer reviewed open-access journal which focuses on the achievements of research and applications related to intelligent systems (IS). IS can be applied to all aspects of human enterprize, such as business & finance, manufacturing & supply chains, agriculture, transportation, engineering, medicine and health, education, entertainment, culture, travel, media, the Internet, etc. ISWA covers a broad spectrum of applications in the community, including industry, government, and academia.The journal aims to publish papers dealing with, but not limited to, the following research fields: Knowledge Representation and Reasoning, Machine Learning (ML) and Neural Computing, Evolutionary Computation, Fuzzy Systems, Intelligent Information Processing, Intelligent Control and Robotics, Multi-agent Systems and Programming.The journal welcomes submissions of IS-applications in various areas: Intelligent Cities, Industries, Consuming, Medical Treatment and Health, Agriculture, Business and Finance, Internet of Things (IoT). Research addressing IS-applications in other fields is also encouraged.Submissions must be novel, technically sound, and clearly presented. ISWA accepts both regular papers and survey articles. Submissions meeting journal criteria will undergo a single-blind review process, utilizing a minimum of two (2) external referees. Our dedicated editorial team, together with active researchers from related fields, will ensure that papers move through the evaluation and review as rapidly as possible without compromising on the quality of the process.The journal audience comprises academia, industry, and practitioners. Authors are strongly encouraged to make their datasets and software publicly accessible via a repository of their choosing. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center.Software PublicationWe 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] points include, but are not limited to innovative applications of:Basic TheoryKnowledge Representation and ReasoningMachine Learning (ML) and Neural ComputingEvolutionary ComputationFuzzy SystemsIntelligent MethodologyIntelligent Information Processing (Video, Image, Audio, Language and other Multi-modal Information)Data Ming and Knowledge DiscoveryPattern Recognition (PR) and Computer Vision (CV)Audio Signal ProcessingNatural Language Processing (NLP)Intelligent Control and RoboticsMulti-agent Systems and ProgrammingIntelligent ApplicationsIntelligent CitiesIntelligent TransportationIntelligent Systems for Security and ManagementIntelligent Systems for IndustryIntelligent Supply ChainUnmanned factory and flexible manufacturingUnmanned WarehouseService RobotIntelligent Systems for ConsumingIntelligent Hardware and Smart Wearable DevicesIntelligent FurnitureNew RetailsUnmanned Driving and Autonomous SystemsIntelligent Systems for Medical Treatment and HealthIntelligent Systems for AgricultureIntelligent Systems for Business and FinanceInternet of Things and its Applications

Subscribe

Knowledge-Based Systems

ISSN: 0950-7051
5 Year impact factor: 7.4
Impact factor: 7.2

Knowledge-based Systems is an international and interdisciplinary journal in the field of artificial intelligence. The journal will publish original, innovative and creative research results in the field, and is designed to focus on research in knowledge-based and other artificial intelligence techniques-based systems with the following objectives and capabilities: to support human prediction and decision-making through data science and computation techniques; to provide a balanced coverage of both theory and practical study in the field; and to encourage new development and implementation of knowledge-based intelligence models, methods, systems, and software tools, with applications in business, government, education, engineering and healthcare.This journal's current leading topics are but not limited to:Machine learning theory, methodology and algorithmsData science theory, methodologies and techniquesKnowledge presentation and engineeringRecommender systems and E-service personalizationIntelligent decision support systems, prediction systems and warning systemsComputational Intelligence systemsData-driven optimizationCognitive interaction and brain–computer interfaceKnowledge-based computer vision techniquesSpecial Issue InstructionsKnowledge-based Systems (KBS), an international and interdisciplinary peer-reviewed academic journal in the field of artificial intelligence, welcomes the submission of special issues on timely topics within the scope of the journal. The main objectives of the journal to organize special issues are to bring together state-of-the-art and high-quality research works, to promote key advances in the science and applications in the important field of knowledge-based systems, and to drive emerging research topics and establish flagships in the field.How to submit your Special Issue proposal:Check the selection criteria below for a KBS special issue to make sure your proposal is relevant to the journal,Write your special issue proposal in the structure given below,Submit the special issue proposal to the Editor-in-Chief (EiC),The EiC and KBS special issue assessment panel will then review your proposal and reply with their decision.Guest Editors' Duty and Special Issue Process:After a special issue proposal is accepted by the journal, a call for papers can be formally distributed. All the papers submitted to the special issue will undergo a peer review process. Guest Editors will manage the process and ensure that the reviewing standards for Knowledge-Based Systems regular issues are maintained. A Managing Guest Editor, who will be responsible for distributing submissions to the other Guest Editors, will need to be nominated. After the Guest Editors make recommendations on each paper in the special issue, the EiC will make the final decisions of acceptance for publication. After all papers to be included in the Special Issue are accepted, the Guest Editors will be responsible for either preparing an Editorial (1–2 pages in length) or writing a field survey (5–10 pages in length), which will incorporate the selected papers and related literature relevant to the topic of the special issue.Software PublicationWe 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]

Subscribe

Neural Networks

ISSN: 0893-6080
5 Year impact factor: 7.9
Impact factor: 6

The Official Journal of the Asia-Pacific Neural Network Society, the International Neural Network Society & the Japanese Neural Network SocietyNeural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks, including deep learning and related approaches to artificial intelligence and machine learning. Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep neural networks and mathematical analyses, to engineering and technological applications of systems that significantly use neural network concepts and learning techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies and helps to foster the development of the interdisciplinary community that is interested in biologically-inspired artificial intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters, and reviews, as well as letters to the editor, editorials, current events, and software surveys. Articles are published in one of four sections: learning systems, cognitive and neural science, mathematical and computational analysis, engineering and applications.Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.Members of the societies listed as affiliated to the journal receive a 25% discount on Article Processing Charges when they publish an article in Neural Networks as an author - this will be detailed through the submission and production processes.International Neural Network Society (INNS) members can receive additional support with a further 25% contribution from the INNS towards their open access article processing charges for accepted papers. If you are an INNS member, please submit this web form to receive reimbursement for 25% of your open access article processing charges. You will be asked to submit a PDF copy of your acceptance and production email, as well as a Wire Transfer Form.

Subscribe

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Journals in Neural networks

Artificial Intelligence in the Life Sciences

Biomaterials Advances

Cognitive Systems Research

Computers & Electrical Engineering

Fuzzy Sets and Systems

Information Fusion

Intelligent Systems with Applications

Intelligent Systems with Applications

Knowledge-Based Systems

Neural Networks