Topic Editors
Soft Computing and Machine Learning
Topic Information
Dear Colleagues,
Soft computing methodologies, techniques, and algorithms focus on approximate models and aim to provide solutions to complex problems. These algorithms aim to be tolerant of imprecision, uncertainty, partial truth, and approximation. Soft computing is the subject of both theoretical and practical research, and soft computing techniques are currently being applied in many applications in areas such as industrial systems, commercial, or domestic applications.
This Topic is open to receive submissions of high-quality papers regarding advances in soft computing and its applications. The themes of the papers include, but are not limited to, computational intelligence, computational learning, machine learning, intelligent control, fuzzy systems, neural networks, genetic algorithms, ant colony, particle swarm, other evolutionary algorithms, other probabilistic computing, rough sets, hybrid methods, wavelets, expert systems, optimization, modeling, estimation, prediction, simulation, control, big data, robotics, mobile robotics and intelligent vehicles, robot manipulator control, sensing, soft sensors, automation, industrial systems, embedded systems, and real-time systems.
The Topic aims to provide for the rapid dissemination of important research in soft computing technologies. It encourages the integration and cross-fertilization of soft computing techniques and other scientific areas, from both theoretical and practical points of view. It aims to link ideas and techniques from soft computing with other disciplines and with advanced applications.
Application areas include, but are not limited to: robotics, intelligent agents, signal and image processing, computer vision, system monitoring, fault detection and diagnosis, control systems, systems identification and modeling, optimization, process optimization, multi-objective optimization, decision support, autonomous reasoning, manufacturing systems, power systems, energy systems, mechatronics, nano- and microsystems, motion control and power electronics, industrial electronics, time series prediction, human–machine interfaces, virtual reality, intelligent agents, consumer electronics, bio-inspired algorithms, biomedical engineering, agricultural systems and production, data mining, and data visualization.
Prof. Dr. Rui Araújo
Dr. António Pedro Aguiar
Dr. Nuno Lau
Dr. Rodrigo Ventura
Dr. João Fabro
Topic Editors
Keywords
- soft computing
- computational intelligence
- machine learning
- deep learning
- intelligent control
- neural networks
- big data
- data mining
- NLP
- robot control
- intelligent vehicles
- image processing
- computer vision
- fault detection and diagnosis
- human–machine interfaces
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Algorithms
|
1.8 | 4.1 | 2008 | 15 Days | CHF 1600 | Submit |
Applied Sciences
|
2.5 | 5.3 | 2011 | 17.8 Days | CHF 2400 | Submit |
Future Internet
|
2.8 | 7.1 | 2009 | 13.1 Days | CHF 1600 | Submit |
Information
|
2.4 | 6.9 | 2010 | 14.9 Days | CHF 1600 | Submit |
Mathematics
|
2.3 | 4.0 | 2013 | 17.1 Days | CHF 2600 | Submit |
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