Wireless Communications and Mobile Computing

Deep Feature Learning for Big Data


Publishing date
01 May 2021
Status
Closed
Submission deadline
08 Jan 2021

Lead Editor

1Hong Kong Polytechnic University, Hong Kong

2King Saud University, Riyadh, Saudi Arabia

3Georgia State University, Atlanta, USA

4University of Hong Kong, Hong Kong

This issue is now closed for submissions.
More articles will be published in the near future.

Deep Feature Learning for Big Data

This issue is now closed for submissions.
More articles will be published in the near future.

Description

The rapid growth of data has brought valuable resources to many industries, and at the same time has brought severe challenges to many fields. The effective use of feature learning technology can discover the hidden rules in big data and tap the potential value of big data, thereby predicting future development, which will greatly promote the overall development of the global economy and society.

As a typical technique of feature learning, deep learning employs supervised or unsupervised strategies to automatically learn multi-layer representations of data and has been successfully applied to the fields of speech recognition, collaborative filtering, and image processing. Although deep learning has made some progress in data feature learning, it still faces many scientific challenges. For example, when the data have the characteristics of inaccuracy, incompleteness, imbalance, etc., the learning results of the algorithms and models will be seriously affected.

Therefore, this Special Issue aims to seek high-quality papers from academics and industry-related researchers of big data, machine learning, and artificial intelligence, who conduct research on the shortcomings of deep learning models in big data feature learning and present the most recently advanced methods and applications.

Potential topics include but are not limited to the following:

  • Big Data theory and methods
  • Feature learning
  • Machine Learning and Deep Learning
  • Knowledge discovery for Big Data
  • Domain adaption and transfer learning
  • Computer vision
  • Virtual reality
  • Natural language processing
  • Big Data for healthcare
  • Big Data analysis and applications in other fields

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 5531222
  • - Research Article

Robust Visual Tracking Based on Convolutional Sparse Coding

Yun Liang | Dong Wang | ... | Caixing Liu
  • Special Issue
  • - Volume 2020
  • - Article ID 8856271
  • - Research Article

-Learning-Based High Credibility and Stability Routing Algorithm for Internet of Medical Things

Kefeng Wei | Lincong Zhang | ... | Yi Guo
  • Special Issue
  • - Volume 2020
  • - Article ID 6681391
  • - Research Article

MFCFSiam: A Correlation-Filter-Guided Siamese Network with Multifeature for Visual Tracking

Chenpu Li | Qianjian Xing | ... | Ke Zang
  • Special Issue
  • - Volume 2020
  • - Article ID 6689134
  • - Research Article

Intrusion Detection System for Internet of Things Based on Temporal Convolution Neural Network and Efficient Feature Engineering

Abdelouahid Derhab | Arwa Aldweesh | ... | Farrukh Aslam Khan
  • Special Issue
  • - Volume 2020
  • - Article ID 6661022
  • - Research Article

An Energy-Efficient Silicon Photonic-Assisted Deep Learning Accelerator for Big Data

Mengkun Li | Yongjian Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 8818616
  • - Research Article

Image Annotation via Reconstitution Graph Learning Model

Shi Chen | Meng Wang | Xuan Chen
  • Special Issue
  • - Volume 2020
  • - Article ID 8816681
  • - Research Article

DeepCF: A Deep Feature Learning-Based Car-Following Model Using Online Ride-Hailing Trajectory Data

Yizhen Xie | Qichao Ni | ... | Amr Tolba
  • Special Issue
  • - Volume 2020
  • - Article ID 8869385
  • - Research Article

Big Data Aspect-Based Opinion Mining Using the SLDA and HME-LDA Models

Ling Yuan | JiaLi Bin | ... | Min Tan
  • Special Issue
  • - Volume 2020
  • - Article ID 8834450
  • - Research Article

Leveraging Social Relationship-Based Graph Attention Model for Group Event Recommendation

Guoqiong Liao | Xiaobin Deng
  • Special Issue
  • - Volume 2020
  • - Article ID 8880430
  • - Research Article

A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering

Peng Li | Zhikui Chen | ... | Lu Wang
Wireless Communications and Mobile Computing
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 Journal metrics
Acceptance rate33%
Submission to final decision81 days
Acceptance to publication37 days
CiteScore4.300
Journal Citation Indicator0.390
Impact Factor2.336
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.