NEURAL COMPUTING & APPLICATIONS

Scope & Guideline

Unlocking the Potential of Neural Algorithms

Introduction

Welcome to the NEURAL COMPUTING & APPLICATIONS information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of NEURAL COMPUTING & APPLICATIONS, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0941-0643
PublisherSPRINGER LONDON LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1993 to 2024
AbbreviationNEURAL COMPUT APPL / Neural Comput. Appl.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND

Aims and Scopes

NEURAL COMPUTING & APPLICATIONS focuses on the intersection of neural computing methodologies and their practical applications across various fields, emphasizing innovation, efficiency, and problem-solving capabilities.
  1. Neural Network Architectures and Applications:
    The journal covers a wide range of neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and hybrid models, highlighting their applications in image processing, medical diagnostics, and more.
  2. Machine Learning and Data Science:
    It emphasizes the use of machine learning techniques for predictive analytics, classification, and data mining, showcasing advancements in algorithms and their implementation in real-world scenarios.
  3. Optimization Algorithms:
    The journal features research on various optimization techniques, including metaheuristic algorithms like genetic algorithms, particle swarm optimization, and their applications in optimizing neural network parameters and other engineering problems.
  4. Cross-disciplinary Applications:
    Research published in the journal spans multiple disciplines, including healthcare, engineering, finance, and environmental science, demonstrating the versatility of neural computing in addressing diverse challenges.
  5. Explainable AI and Interpretability:
    A focus on making neural network models interpretable and understandable for practitioners, which is essential for trust and usability in sensitive applications like healthcare.
Recent publications in NEURAL COMPUTING & APPLICATIONS indicate several emerging trends and themes that are gaining traction among researchers, reflecting the evolving landscape of neural computing.
  1. Generative Models and Adversarial Networks:
    There is a growing interest in generative models, particularly generative adversarial networks (GANs), for applications in image synthesis, data augmentation, and anomaly detection, indicating a shift towards creative and synthetic data generation.
  2. Neural Network Optimization Techniques:
    Research focusing on optimization techniques for enhancing the performance and efficiency of neural networks is on the rise, particularly in tuning hyperparameters and improving model architectures.
  3. Real-Time and Edge Computing Applications:
    As IoT and edge computing become increasingly relevant, the journal showcases applications of neural networks for real-time data processing and decision-making, emphasizing low-latency solutions.
  4. Explainable AI and Trustworthy Systems:
    The demand for explainability in AI models is rising, with more studies focusing on developing methods for interpreting neural network decisions, crucial for applications in healthcare and finance.
  5. Interdisciplinary Approaches to Machine Learning:
    There is an increasing trend towards interdisciplinary research where machine learning techniques are applied to fields like environmental science, healthcare, and social sciences, indicating a broadening of the scope of applications.

Declining or Waning

While NEURAL COMPUTING & APPLICATIONS continues to evolve, certain themes have shown a decline in frequency within the published literature, reflecting changing trends in research priorities.
  1. Traditional Statistical Methods:
    The focus on classical statistical methods has waned as more researchers adopt advanced machine learning and deep learning techniques, making traditional approaches less prominent in recent publications.
  2. Basic Neural Network Models:
    As the field advances, simpler neural network models have become less favored compared to more complex, hybrid, and specialized architectures that better address specific problems.
  3. Theoretical Studies without Practical Application:
    There is a noticeable decline in purely theoretical studies that do not address practical applications or real-world problems, as the journal increasingly favors research that demonstrates tangible impacts.
  4. Single-Domain Focus:
    Research that only addresses challenges within a single domain is declining in favor of multi-disciplinary approaches that integrate insights from various fields to solve complex problems.

Similar Journals

International Journal of Innovative Computing Information and Control

Empowering research in computing and control.
Publisher: ICIC INTISSN: 1349-4198Frequency: 6 issues/year

International Journal of Innovative Computing Information and Control, published by ICIC INT, is a prominent platform dedicated to advancing the fields of computational theory, information systems, software engineering, and theoretical computer science. Since its inception in 2007, the journal has garnered attention for its rigorous peer-reviewed research and has established itself within the academic community, attaining a notable Q3 quartile ranking across its categories as of 2023. With an impressive track record of convergence from 2007 to 2024, this journal offers a wealth of insights and innovations for researchers and professionals striving to push the boundaries of technology and computing. While it operates under a subscription model, the journal's commitment to enhancing knowledge in the ever-evolving landscape of computational sciences makes it an essential resource for academics, providing timely articles that address contemporary challenges in the field.

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING

Exploring New Frontiers in Computational Theory.
Publisher: INST INFORMATION SCIENCEISSN: 1016-2364Frequency: 6 issues/year

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, published by the Institute of Information Science in Taiwan, is a pivotal platform for the dissemination of innovative research in the multidisciplinary fields of information science and engineering. Established in 1993, the journal primarily focuses on areas such as library and information sciences, human-computer interaction, hardware and architecture, as well as computational theory and software development. Despite holding a current Q4 ranking in several categories, the journal demonstrates significant potential for growth, particularly in computation and software systems, as evidenced by its Scopus rankings and percentiles. Researchers, professionals, and students will find this journal to be an invaluable resource to stay abreast of evolving theories and technologies in information science. The journal is accessible through traditional subscription models, fostering a broad academic outreach. It serves to enhance knowledge-sharing and collaboration within this dynamic and ever-evolving field.

Quantum Machine Intelligence

Pioneering research at the nexus of quantum mechanics and AI.
Publisher: SPRINGERNATUREISSN: 2524-4906Frequency: 1 issue/year

Quantum Machine Intelligence is a leading academic journal published by Springer Nature, focusing on the rapidly evolving intersection of quantum computing and artificial intelligence. With an impressive impact factor reflected in its prestigious ranking in various categories—Q1 in Applied Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science, alongside Q2 in Artificial Intelligence and Software—this journal serves as a vital platform for disseminating innovative research from 2019 to 2024. Researchers, professionals, and students are encouraged to engage with the journal’s content, which features high-quality peer-reviewed articles that explore theoretical foundations and practical applications of quantum technologies in machine intelligence. Although the journal operates under traditional subscription models, it is committed to advancing open academic discourse and accessibility in the digital age. With Scopus rankings that place it among the top echelons of its fields, the journal is an essential resource for anyone interested in the transformative potential of quantum algorithms and AI.

IEEE Computational Intelligence Magazine

Pioneering Research for a Smarter Tomorrow
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCISSN: 1556-603XFrequency: 4 issues/year

IEEE Computational Intelligence Magazine, published by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, is an essential resource for researchers and professionals in the fields of Artificial Intelligence and Theoretical Computer Science. With a robust Q1 ranking in both categories for 2023, this magazine stands out as a leader in disseminating cutting-edge research and innovative applications within computational intelligence. As an invaluable conduit for knowledge, it covers a diverse range of topics, including but not limited to machine learning, neural networks, and data mining. The magazine is particularly recognized for its interdisciplinary approach, bridging gaps between theory and application while contributing to advancements in technology and society. Although it does not offer open access, the insights provided are critical for staying at the forefront of this rapidly evolving discipline. Join a community of like-minded scholars and practitioners by exploring the latest findings and trends published from 2006 to 2024, operating from its headquarters at 445 Hoes Lane, Piscataway, NJ, United States.

Neural Network World

Driving Discovery in Artificial Intelligence and Software Engineering
Publisher: ACAD SCIENCES CZECH REPUBLIC, INST COMPUTER SCIENCEISSN: 1210-0552Frequency: 6 issues/year

Neural Network World, published by the Academy of Sciences of the Czech Republic, Institute of Computer Science, is a preeminent journal dedicated to the fields of artificial intelligence, hardware and architecture, software engineering, and neuroscience. Since its inception in 1994, this journal has provided a platform for the dissemination of pioneering research and technical advancements in neural networks and their applications. Operating from the heart of Prague, this publication holds a Q4 quartile ranking across key categories, highlighting the growing interest and relevance in its multidisciplinary focus. Although it does not currently offer open access, its commitment to scholarly rigor ensures that readers engage with high-quality content, making it a valuable resource for researchers, professionals, and students alike. As the field evolves, Neural Network World serves as an essential forum for innovative ideas and critical discussions, reinforcing its significance in driving forward the future of technology and neuroscience.

NEUROCOMPUTING

Advancing Knowledge in Neural Computation and AI
Publisher: ELSEVIERISSN: 0925-2312Frequency: 18 issues/year

NEUROCOMPUTING is a premier academic journal published by ELSEVIER, specializing in the interdisciplinary fields of Artificial Intelligence, Cognitive Neuroscience, and Computer Science Applications. With an impressive impact factor and a Q1 ranking in its relevant categories for 2023, NEUROCOMPUTING is recognized as a leader in fostering innovative research and providing a platform for ground-breaking studies. The journal’s scope covers the convergence of neural computation and artificial intelligence, making it essential reading for researchers and professionals seeking to explore the latest advancements and applications in these dynamic fields. For those interested in the cutting-edge intersection of neuroscience and computational techniques, NEUROCOMPUTING offers a wealth of knowledge that significantly contributes to both theoretical and practical advancements. The journal is dedicated to publishing high-quality, peer-reviewed articles and is an invaluable resource for students and established scholars alike, looking to stay at the forefront of research trends.

Journal of Advanced Computational Intelligence and Intelligent Informatics

Exploring the Future of Intelligent Systems
Publisher: FUJI TECHNOLOGY PRESS LTDISSN: 1343-0130Frequency: 6 issues/year

The Journal of Advanced Computational Intelligence and Intelligent Informatics, published by FUJI TECHNOLOGY PRESS LTD, stands as a pivotal platform in the fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 1997, this Open Access journal has been providing accessible insights into the latest advancements in computational intelligence and informatics since 2007. With its ISSN 1343-0130 and E-ISSN 1883-8014, this journal invites a diverse readership, including researchers, professionals, and students eager to explore innovative methodologies and applications. Despite its current Q4 ranking in the relevant categories, the journal remains committed to contributing valuable knowledge to the academic community and enhancing the global discourse in computational technologies. With its focus on fostering communication and collaboration among scholars, the journal plays an essential role in driving forward the understanding of intelligent systems and their applications in various domains.

SOFT COMPUTING

Fostering Interdisciplinary Collaboration for a Smarter Future
Publisher: SPRINGERISSN: 1432-7643Frequency: 12 issues/year

SOFT COMPUTING is a premier international journal published by Springer, focusing on the interdisciplinary field of soft computing, which includes areas such as fuzzy logic, neural networks, genetic algorithms, and their applications. With an ISSN of 1432-7643 and E-ISSN 1433-7479, the journal is based in Germany and contributes significantly to the advancement of knowledge in its fields, boasting an impressive Scopus ranking that places it in the top echelons of Geometry and Topology, Theoretical Computer Science, and Software categories. In the 2023 category quartiles, it has achieved Q2 rankings in multiple disciplines, reflecting its high-quality research contributions. Though not Open Access, the journal's rigor and relevance to contemporary issues make it a favored resource for researchers, professionals, and students alike. From its inception in 2000 and spanning across the years until 2024, SOFT COMPUTING continues to serve as a robust platform for innovative research and theoretical advancements, making it an essential read for anyone engaged in the rapidly evolving landscape of computational intelligence.

International Journal of Software Science and Computational Intelligence-IJSSCI

Fostering Innovation in Computational Intelligence
Publisher: IGI GLOBALISSN: 1942-9045Frequency: 4 issues/year

International Journal of Software Science and Computational Intelligence (IJSSCI) is a prominent academic journal published by IGI Global, dedicated to advancing the fields of software science and computational intelligence. With its ISSN 1942-9045 and E-ISSN 1942-9037, IJSSCI offers a platform for researchers, practitioners, and students to disseminate innovative research findings, theoretical advancements, and practical applications in areas such as algorithm development, machine learning, and software engineering. Although the journal currently does not operate under an open access model, its rigorous peer-review process ensures high-quality publications that contribute significantly to the academic discourse. Based in Hershey, PA, IJSSCI is recognized for its commitment to fostering collaboration among professionals in the technology and computer science fields, making it an essential resource for those looking to stay at the forefront of software science advancements.

International Journal of Computing Science and Mathematics

Empowering Research in Computing Science and Mathematics
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1752-5055Frequency: 6 issues/year

The International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.