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Computational Intelligence and Neuroscience (CIN)

Publisher :

Hindawi Limited

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Peer reviewed only
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Open Access
  • Computer Science
  • Neuroscience
  • Mathematics
e-ISSN :

1687-5273

Issue Frequency :

Monthly

p-ISSN :

1687-5265

Est. Year :

2007

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Journal Descriptions

The journal provides research and review papers at an interdisciplinary level, with the field of intelligent systems for computational neuroscience as its focus. This field includes areas like artificial intelligence, models and computational theories of human cognition, perception and motivation; brain models, artificial neural nets and neural computing. All items relevant to building theoretical and practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and innovative applications.


Computational Intelligence and Neuroscience (CIN) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science, Neuroscience, Mathematics , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1687-5265, E-ISSN - 1687-5273, Established in - 2007, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus

Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

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ABCD
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SJR

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Publications of CIN

  • dott image March, 2023

A Comprehensive Survey on Federated Learning Techniques for Healthcare Informatics

Healthcare is predominantly regarded as a crucial consideration in promoting the general physical and mental health and well-being of people around the world. The amount of data generated by...

  • dott image April, 2022

Differential Human Learning Optimization Algorithm

Human Learning Optimization (HLO) is an efficient metaheuristic algorithm in which three learning operators, i.e., the random learning operator, the individual learning operator, and the soc...

  • dott image January, 2022

[Retracted] Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R-CNN with MobileNet V1

With the technological advancements of the modern era, the easy availability of image editing tools has dramatically minimized the costs, expense, and expertise needed to exploit and perpetu...

  • dott image October, 2021

Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions

The computer vision systems driving autonomous vehicles are judged by their ability to detect objects and obstacles in the vicinity of the vehicle in diverse environments. Enhancing this abi...

  • dott image June, 2022

Sustainable Smart Industry: A Secure and Energy Efficient Consensus Mechanism for Artificial Intelligence Enabled Industrial Internet of Things

In recent years, the Internet of Things (IoT) has been industrializing in various real-world applications, including smart industry and smart grids, to make human existence more reliable. An...

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