Special Issue on Electrical and Computer Science, Applications of Neural Networks and Deep Learning in Engineering

Submission Deadline: Sep. 30, 2019

This special issue currently is open for paper submission and guest editor application.

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)

  • Special Issue Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to fulfill the Guest Editor application.
    • Mehdi Jafarnia
      University of Southern California, Los Angeles, USA
    • Negin Musavi
      University of Illinois at Urbana-Champaign, Urbana-Champaign, USA
    • Ebrahim Arian
      University of Illinois at Urbana-Champaign, Urbana-Champaign, USA
    • Payam Dibaeinia
      University of Illinois at Urbana-Champaign, Urbana-Champaign, USA
    • Alireza Moradzadeh
      University of Illinois at Urbana-Champaign, Urbana-Champaign, USA
    • Mohana Mohana
      Department of Computer Science and Engineering, Saranathan College of Engineering, Trichirappalli, Tamilnadu, India
    • Department of Information Communications, State Grid Tongling Power Supply Company, Tong Ling, China
  • Introduction

    This special issue is on the theory of neural networks, deep learning, and reinforcement learning in addition to their applications in engineering, including but not limited to representation models, computational biology, automatic speech recognition, image recognition, visual art processing, drug discovery and toxicology, customer relationship management, recommendation systems, medical Image Analysis, mobile advertising, image restoration, financial fraud detection, bioinformatics, molecular dynamics, coarse-graining, natural language processing, etc. Although the main focus of this special issue is on neural network, deep learning, and reinforcement learning, it also includes other machine learning topics including but not limited to decision trees, support vector machines, Bayesian models, Genetic algorithms and their applications in supervised and semi-supervised learning, unsupervised learning, feature learning, anomaly detection, sparse dictionary learning, association rules, fairness in learning, prediction models, regression, online algorithms, ranking algorithms, recommendation systems, Bayesian inference, Bayesian prediction, hypothesis learning, risk minimization, regularization and stability, multi-class clustering, Bayesian SVM, evolutionary algorithms, and stochastic optimization. All researchers in the fields of electrical and computer engineering, computer science, mathematics, physics, civil engineering, biotechnology, mechanical engineering, chemistry, biology, medical, humanities, agriculture, horticulture, forestry, animation and multimedia are encouraged to submit a paper at this special issue as long as they take advantage of neural networks, deep learning, reinforcement learning, and any other machine learning tools in their papers.

    Aims and Scope:

    1. Neural Networks
    2. Deep Learning
    3. Machine Learning
    4. Statistical Learning
    5. Artificial Intelligence
    6. Deep Neural Networks

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ajnna.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

Browse journals by subject