NEURAL COMPUTING & APPLICATIONS

Scope & Guideline

Driving Insights in Artificial Intelligence Applications

Introduction

Immerse yourself in the scholarly insights of NEURAL COMPUTING & APPLICATIONS with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
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

APPLIED INTELLIGENCE

Transforming ideas into impactful AI applications.
Publisher: SPRINGERISSN: 0924-669XFrequency: 12 issues/year

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

International Journal of Software Science and Computational Intelligence-IJSSCI

Empowering Researchers in the Realm of Software Science
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

Pioneering the Fusion of Computing 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.

NETWORK-COMPUTATION IN NEURAL SYSTEMS

Decoding Neural Dynamics Through Innovative Research
Publisher: TAYLOR & FRANCIS INCISSN: 0954-898XFrequency: 4 issues/year

NETWORK-COMPUTATION IN NEURAL SYSTEMS is a distinguished journal published by Taylor & Francis Inc, focusing on the innovative intersection of network theory and neural computation. Since its inception in 1990, this journal has provided a vital platform for researchers and professionals in the field of neuroscience, exploring the dynamics of neural networks and computational models. With its current Q3 category ranking in Neuroscience (miscellaneous) and a robust position in Scopus, the journal plays a critical role in advancing knowledge and discussion within this interdisciplinary area. The journal addresses a wide range of topics related to the computational aspects of neural systems, fostering collaboration and providing valuable insights amongst scholars. Although it is not an open-access publication, its well-curated content remains accessible through institutional subscriptions, ensuring that significant research reaches the hands of those who need it. As it continues to evolve through 2024 and beyond, NETWORK-COMPUTATION IN NEURAL SYSTEMS stands as a key resource for anyone deeply engaged in understanding the complexities and intricacies of neural computations.

NEUROCOMPUTING

Transforming Insights into Intelligent Solutions
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.

APPLIED SOFT COMPUTING

Empowering technology with cutting-edge soft computing insights.
Publisher: ELSEVIERISSN: 1568-4946Frequency: 12 issues/year

Applied Soft Computing is a premier international journal published by Elsevier, dedicated to advancing the field of soft computing in various applications. With an ISSN of 1568-4946 and E-ISSN of 1872-9681, it has established itself as a leading resource with a commendable impact factor and significant importance in its field. As of 2023, it ranks in the Q1 category of Software in Scopus, boasting a rank of 25 out of 407 journals in Computer Science, Software, representing the 93rd percentile among peers. The journal's primary objective is to publish high-quality, innovative research articles that explore soft computing methodologies and their applications across diverse domains, fostering interdisciplinary collaboration and advancing technological solutions. Based in the Netherlands, at Radarweg 29, 1043 NX Amsterdam, it serves as a vital platform for researchers, professionals, and students eager to contribute to and stay informed about the latest developments in soft computing.

Journal of Advanced Computational Intelligence and Intelligent Informatics

Fostering Collaboration in Advanced Computational Intelligence
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.

International Journal of Computational Intelligence Systems

Fostering Global Collaboration in Computational Methodologies
Publisher: SPRINGERNATUREISSN: 1875-6891Frequency: 1 issue/year

International Journal of Computational Intelligence Systems, published by SPRINGERNATURE, is a leading open-access journal that has been at the forefront of research in the field of computational intelligence since 2008. With an ISSN of 1875-6891 and an E-ISSN of 1875-6883, this journal occupies a prominent place in the academic landscape, achieving impressive rankings in its categories: Q2 in both Computational Mathematics and Computer Science (miscellaneous), reflecting its significance and relevance to researchers, professionals, and students. Based in Switzerland, the journal is committed to disseminating high-quality research and fostering innovation in computational methodologies, algorithms, and applications. Its strong impact factor and Scopus rankings—31/189 in Computational Mathematics and 53/232 in General Computer Science—underscore its critical role in advancing knowledge in these interdisciplinary fields. As an open-access journal, it provides unparalleled accessibility to cutting-edge research, supporting the global community in staying at the forefront of computational intelligence advancements.

Neural Network World

Empowering Researchers with Cutting-Edge Insights in AI and Neuroscience
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.

Applied Computational Intelligence and Soft Computing

Pioneering Research in Applied Computational Methods
Publisher: HINDAWI LTDISSN: 1687-9724Frequency: 1 issue/year

Applied Computational Intelligence and Soft Computing, published by HINDAWI LTD, is a premier open access journal that has been disseminating critical research since 2009, focusing on the intersection of artificial intelligence and soft computing. With an impressive array of quartile rankings in 2023, including Q2 in Civil and Structural Engineering and Computational Mechanics, this journal has established itself as a significant contributor to the fields of computer science and engineering. Based in Egypt, it plays a vital role in advancing knowledge by providing researchers, professionals, and students with easy access to high-quality studies. The journal’s rigorous peer-review process ensures that only the most impactful research is highlighted, making it an essential resource for those looking to stay abreast of the latest innovations and methodological advancements in applied computational intelligence. Its Scopus rankings further affirm its influence and reputation within the academic community, exemplifying its commitment to facilitating collaboration and fostering intellectual discourse in various scientific domains.