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Neural Computing and Applications
Publishing model:
Hybrid

Neural Computing and Applications - Topical Collection on Neural Computing in the Advancement of Automated Connected & Electrical (ACE) Vehicles

Aims and Scope:

Automated Connected & Electrical (ACE) vehicle technologies are rapidly transforming the transportation sector and are a cornerstone in the development of future smart cities. The journey from research labs to real-world application, however, is fraught with challenges, including extensive time and financial investments, and stringent regulatory environments. Crucially, the evolution of ACE technologies is increasingly reliant on advanced computational methods, including neural networks, fuzzy logic, and deep learning, to enhance predictive analytics, system modeling, pattern identification, and more.

This Special Issue seeks to explore how neural computing and related approaches can optimize the development, testing, and implementation of ACE vehicle technologies. We invite contributions that not only focus on ACE vehicles but also highlight the application of neural computing, machine learning, and intelligent systems in this domain.

Topics of Interest include, but are not limited to:

  • Integration of Neural Networks and Deep Learning in ACE Vehicle Development
  • Cooperative Driving Automation (CDA) Enhanced by AI Techniques
  • AI-Driven Edge-Computing for CAV Operations
  • Neural Computing in CAV-Infrastructure Integration
  • Intelligent Vehicle Control Strategies Using Machine Learning
  • Advanced Diagnostics and Forecasting in ACE Vehicles
  • V2X Communications Optimized through Intelligent Algorithms
  • 5G Technologies in ACE Vehicles Enhanced by Neural Computing
  • Simulation and Validation of Automated Driving Parameters Using AI
  • Neural Network-Based Methodologies for Test Scenario Generation
  • Hardware/Vehicle in the Loop Simulation with Intelligent Systems
  • Practical Systems Modeling in ACE Technologies
  • Real-World Case Studies Demonstrating the Application of Neural Computing in ACE Vehicles

Guest Editors:

Yang Liu, Chalmers University of Technology, Sweden, liuy@chalmers.se (this opens in a new tab)
Tom Shi, University of Wisconsin-Milwaukee, USA,  tomshi@uwm.edu (this opens in a new tab)
Xiaopeng (Shaw) Li, University of Wisconsin-Madison, USA, xli2485@wisc.edu (this opens in a new tab)
Xiaobo Qu, Tsinghua University, China, xiaobo@tsinghua.edu.cn (this opens in a new tab)

Manuscript submission deadline: 30th November 2024

This topical collection is connected to SDG 11: Sustainable cities & communities (this opens in a new tab)

Peer Review Process

All the papers will go through peer review,  and will be reviewed by at least two reviewers. A thorough check will be completed, and the guest editor will check any significant similarity between the manuscript under consideration and any published paper or submitted manuscripts of which they are aware. In such case, the article will be directly rejected without proceeding further. Guest editors will make all reasonable effort to receive the reviewer’s comments and recommendation on time.

The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended to be considered for this special issue (with at least 30% difference from the original works).

Submission Guidelines

Paper submissions for the special issue should strictly follow the submission format and guidelines (https://www.springer.com/journal/521/submission-guidelines (this opens in a new tab)). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables).

Manuscripts must be submitted to the journal online system at https://www.editorialmanager.com/ncaa/default.aspx (this opens in a new tab) or via the 'Submit manuscript' button on the journal homepage.
Authors should select “TC: Neural Computing in the Advancement of Automated Connected & Electrical (ACE) Vehicles” during the submission step ‘Additional Information’.

Author Resources

Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals.  
Springer provides a host of information about publishing in a Springer Journal on our Journal Author Resources page, including  FAQs (this opens in a new tab),  Tutorials (this opens in a new tab)  along with  Help and Support (this opens in a new tab).
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