Journal of Sensors

Sensor Physical Interpretation, Signal and Artificial Intelligence Processing


Publishing date
01 Nov 2020
Status
Closed
Submission deadline
26 Jun 2020

Lead Editor

1University of Electronic Science and Technology of China, Chengdu, China

2Southwest University of Science and Technology, Mianyang, China

3Northumbria University, Newcastle, UK

4Newcastle University, Newcastle, UK

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

Sensor Physical Interpretation, Signal and Artificial Intelligence Processing

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

Description

Sensor Physical Interpretation, Signal and Artificial Intelligence Processing (SPISAIP) is an overarching field of research focusing on the physical and mathematical foundations and practical applications of sensors, interpretation, signal processing and artificial intelligence algorithms that learn, reason and act. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent sensor-based applications.

The core of SPISAIP lies in its use and proposed physical meaning in sensors, nonlinear and non-Gaussian signal processing methodologies combined with convex and non-convex optimization, and sensor-based machine learning/deep learning neural networks. SPISAIP encompasses new theoretical frameworks for interpreting sensing in statistical signal processing (e.g. hidden markov model, latent component analysis, tensor factorization, Bayesian methods) coupled with information theoretic learning, and novel developments in these areas specialised to the processing of a variety of modalities including audio, bio-signals, electromagnetic thermal multi-physics signals, images, multispectral, and video among others. In recent years, many sensor design and signal processing algorithms have incorporated some form of intelligence as part of its framework in solving a problem. These algorithms have the capacity to generalize and discover knowledge for themselves and learning to learn new information whenever unseen sensor data is captured.

The focus of the Special Issue will be on a broad range of sensors, physical interpretation, signal and artificial intelligence processing involving the introduction and development of new advanced theoretical and practical algorithms. We welcome both original research and review articles on these topics.

Potential topics include but are not limited to the following:

  • Different modality sensors and instrumentation
  • Multimodality sensor fusion technique and its link to the physical interpretation
  • Sensor pattern recognition and analysis
  • Machine learning for sensor signal and image processing
  • Multimodal information processing for healthcare and surveillance
  • Computer vision and 3D reconstruction by multimodal sensor data fusion
  • Wearable sensors and IoT for personalized health monitoring and social computing
  • Data science and analytics for big sensor data
  • Deep learning: theory, algorithms and applications for sensing
  • Sensor compressed sensing and sparsity aware processing
  • Non-destructive testing and evaluation and structure health monitoring for material characterization, structural integrity, defect detection and identification, stress and lifecycle assessment
  • Sensors and imaging with real-time data analytics

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 8873039
  • - Research Article

A Computer Simulator Model for Generating Sulphuric Acid and Improve the Operational Results, Using Operational Data from a Chemical Plant

Claudio Leiva | Víctor Flores | Carolina Aguilar
  • Special Issue
  • - Volume 2020
  • - Article ID 8839681
  • - Research Article

Energy-Efficient Time-Domain Equilibrium Scheduling and Optimization Scheme for Energy Harvesting-Powered D2D Communication

Ying Luo | Min Zeng | ... | Bin Han
  • Special Issue
  • - Volume 2020
  • - Article ID 8883845
  • - Research Article

Parameter Recognition of Mode-Converted Wave in Single-Source Ultrasound Using Gabor Transform for Bolt Axial Stress Evaluation

Ping Chen | Xingliang He | Wei Song
  • Special Issue
  • - Volume 2020
  • - Article ID 8811448
  • - Research Article

Active Vibration Control of PID Based on Receptance Method

Lijuan Peng | Jian Wang | ... | Hongji Ren
  • Special Issue
  • - Volume 2020
  • - Article ID 8833305
  • - Research Article

A Multifrequency Heterodyne Phase Error Compensation Method for 3D Reconstruction

Zihao Yu | Jin Liu | ... | Yumei Jian
  • Special Issue
  • - Volume 2020
  • - Article ID 8824202
  • - Research Article

Feedback-Dubins-RRT Recovery Path Planning of UUV in an Underwater Obstacle Environment

Bing Hao | Zheping Yan | ... | Qi Yuan
  • Special Issue
  • - Volume 2020
  • - Article ID 8824091
  • - Research Article

Research on an Improved Metal Surface Defect Detection Sensor Based on a 3D RFID Tag Antenna

Qiang Li | Jianbin Chen | Liang Zhao
  • Special Issue
  • - Volume 2020
  • - Article ID 8841811
  • - Research Article

Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior

SeHee Jung | SungMin Yang | ... | SungHwan Kim
  • Special Issue
  • - Volume 2020
  • - Article ID 8844348
  • - Research Article

Fast Traffic Sign Detection Approach Based on Lightweight Network and Multilayer Proposal Network

Hoanh Nguyen
Journal of Sensors
 Journal metrics
Acceptance rate30%
Submission to final decision78 days
Acceptance to publication38 days
CiteScore4.100
Journal Citation Indicator0.450
Impact Factor2.137
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.