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Journal Photo for Computational Intelligence and Neuroscience
Peer reviewed only Open Access

Computational Intelligence and Neuroscience (CIN)

Publisher : Hindawi Limited
Computer Science Neuroscience Mathematics
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e-ISSN 1687-5273
p-ISSN 1687-5265
Issue Frequency Monthly
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 P-ISSN: 1687-5265, E-ISSN: 1687-5273, Established: 2007,
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus

  • Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of CIN

A Comprehensive Survey on Federated Learning Techniques for Healthcare Informatics
Kandati Dasaradharami Reddy March, 2023
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...
Differential Human Learning Optimization Algorithm
Panos M. Pardalos April, 2022
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...
[Retracted] Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R-CNN with MobileNet V1
Ketan Kotecha January, 2022
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...
Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions
Ketan Kotecha October, 2021
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...
Sustainable Smart Industry: A Secure and Energy Efficient Consensus Mechanism for Artificial Intelligence Enabled Industrial Internet of Things
Ketan Kotecha June, 2022
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...