Artificial Intelligence
A section of Electronics (ISSN 2079-9292).
Section Information
The Section Artificial Intelligence mainly covers topics of interest within unique hardware-based deep learning AI and algorithmic deep learning AI using machine learning. The purpose of this Section is to bring together researchers and engineers, from both academia and industry, to present novel ideas and solid research on the hardware and algorithmic aspects of advanced applications of deep-learning-based AI.
The primary focus of this Section is only unique hardware-based deep learning AI. This Section also focuses on the black box nature of deep neural networks and shallow NNs, transparency, interpretability and explainability of deep neural networks (DNNs), and algorithms and/or methods for the conversion of Gradient Boosting Decision Tree (GBGT) (e.g., XGBoost) and Decision Forest, e.g., Random Forest, into a single decision tree (DT) .
Note that papers on hardware-based deep learning AI using FPGA, and other popular techniques, are handled by the Editor-in-Chief for the hardware related subsections. Papers on algorithmic deep learning are handled by the Editor-in-Chief for the Section Artificial Intelligence. Unique combinations of evolutionary computation, fuzzy logic, and deep learning are also of interest.
Subject Areas
Subject areas of interest include, without being limited to:
- Subsection for unique hardware-based deep learning AI;
- Subsection for algorithmic deep learning AI using machine learning;
- Algorithms and/or methods for conversion of GBGT and Decision Forest into a single DT;
- Explainable AI (XAI);
- Rule extraction;
- White box machine learning and AI;
- AI finance (credit scoring, fraud detection, Peer-to-Peer (P2P) social lending).
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Machine Learning and Deep Learning for Biosignals Interpretation (Deadline: 30 June 2022)
- Advances in Artificial Intelligence, Machine Learning and Deep Learning Application (Deadline: 30 June 2022)
- Advances in Swarm Intelligence, Data Science and Their Applications (Deadline: 30 June 2022)
- Deep Learning, Reconfigurable Computing and Machine Learning in Healthcare (Deadline: 30 June 2022)
- Applied AI-Based Platform Technology and Application (Deadline: 30 June 2022)
- Applications of Machine Learning in Big Data (Deadline: 30 June 2022)
- Recent Advances in Educational Robotics (Deadline: 15 July 2022)
- Human Activity Recognition and Machine Learning (Deadline: 15 July 2022)
- Computer Vision and Pattern Recognition Techniques (Deadline: 20 July 2022)
- Recent Trends in Applications of Artificial Intelligence for Image and Video Analysis (Deadline: 31 July 2022)
- Multimodal Signal, Image and Video Analysis and Application (Deadline: 10 August 2022)
- Machine Learning Technologies: Deep Learning, Reinforcement Learning and Q-Learning (Deadline: 19 August 2022)
- Semantic Technologies for the Protection and Monitoring of Natural and Artificial Environments (Deadline: 31 August 2022)
- AI and Smart City Technologies (Deadline: 31 August 2022)
- The Future of Artificial Intelligence (AI): Emerging Topics for AI and Its Applications (Deadline: 31 August 2022)
- Selected Papers from 2021 International Conference on Information Technologies (Deadline: 31 August 2022)
- Machine Learning Methods for Disaster Management (Deadline: 31 August 2022)
- Intelligent Implementations in the Digitalized Real World (Deadline: 31 August 2022)
- Recommender Systems and Technologies in Artificial Intelligence (Deadline: 15 September 2022)
- Practical Usage of Artificial Intelligence within Online Educational Systems (Deadline: 20 September 2022)
- Deep Learning for Computer Vision: Algorithms, Theory and Application (Deadline: 30 September 2022)
- Data Analysis in Intelligent Communication Systems (ICS) (Deadline: 30 September 2022)
- Neural Networks in Robot-Related Applications (Deadline: 30 September 2022)
- AI for Text Understanding (Deadline: 30 September 2022)
- New Trends in Deep Learning for Computer Vision (Deadline: 15 October 2022)
- Convolutional Neural Networks and Vision Applications, Volume II (Deadline: 31 October 2022)
- Advanced Machine Learning for Intelligent Robotics (Deadline: 31 October 2022)
- Artificial Intelligence Solutions and Applications for COVID-19 Pandemic (Deadline: 31 October 2022)
- Wearable Sensors Applied in Artificial Perception (Deadline: 31 October 2022)
- Recent Advances in the IoT and Smart City Based on Artificial Intelligence (Deadline: 31 October 2022)
- Defining, Engineering, and Governing Green Artificial Intelligence (Deadline: 31 October 2022)
- Artificial Intelligence Technologies and Applications (Deadline: 30 November 2022)
- Intelligent Internet of Things (IoT) and Cyber-Physical Systems (CPS) (Deadline: 30 November 2022)
- Robotics and AI in Spain (Deadline: 15 December 2022)
- Explainable AI (XAI): Theory, Methods and Applications (Deadline: 20 December 2022)
- New Artificial Intelligence Technologies in Biomedical Engineering (Deadline: 20 December 2022)
- State-of-the-Art Artificial Intelligence Technology (Deadline: 31 December 2022)
- Electronic Solutions for Artificial Intelligence Healthcare Volume II (Deadline: 31 December 2022)
- Explainable Artificial Intelligence: Efficiency and Sustainability (Deadline: 31 December 2022)
- Big Data Analytics Using Artificial Intelligence (Deadline: 31 December 2022)
- Trends and Prospects in Hybrid Methods for Natural Language Processing (Deadline: 15 January 2023)
- Human–Computer Interaction through Materials (Deadline: 28 February 2023)
- Real-Time Visual Information Processing in Human-Computer Interface (Deadline: 30 March 2023)
- Application Research Using AI, IoT, HCI, and Big Data Technologies (Deadline: 15 April 2023)