Special Issue "Smart Sensing and Advanced Machine Learning Based Emerging Intelligent Systems (SMILES)"
Deadline for manuscript submissions: 30 September 2020.
Interests: hyperspectral imaging; remote sensing; computer vision; machine learning; big data analytics
Special Issues and Collections in MDPI journals
Special Issue in Sensors: Affective and Immersive Human Computer Interaction via Effective Sensor and Sensing (AI-HCIs)
Special Issue in Applied Sciences: Hyperspectral Imaging 2020
Special Issue in Remote Sensing: Feature Extraction and Data Classification in Hyperspectral Imaging
Interests: Multimedia computing; multimedia information retrieval; human computer interaction; remote sensing; pattern recognition
Intelligent systems, which are aware of the surrounding environment and respond to it, are at the forefront of technology. These systems integrate sensing, machine learning, and data analytics to enable machines to obtain data from the environment, analyse it, and then adapt their behaviour accordingly. They have already infiltrated everyday life in applications such as facial recognition systems, personalized online retail recommendations, and surgical robotics.
The highly adaptive nature of intelligent systems has led to their adoption in various research fields. In healthcare, they have been for prevention, diagnostics, and treatment, with applications including drug delivery, cancer treatment, biomechanics and bio signal analysis. They have also been used in assistive technologies for the elderly. Intelligent systems have also been applied in industry for automation, transportation, machine monitoring, visual inspection, and telecommunication. Furthermore, within the security domain they have been used for surveillance and identification. Intelligent systems are also being designed to be self-diagnostic, meaning they are capable of identifying issues within themselves.
Advances in intelligent systems depend on progress in both hardware and software technology, with developments in smart sensing and advanced machine learning both required. Time-effective processing is another area for improvement. However, advancements are challenging due to the inherent uncertainty and dynamics of the environments where systems operate. Furthermore, greater automation should be accompanied by increased ethical debate.
Topics of interest include but not limited to:
- Emerging smart sensing technology for intelligent systems
- Novel machine learning techniques for intelligent systems
- IoT based intelligent systems
- Self-diagnosing and self-perceptive intelligent systems
- Smart sensing based human computer interaction
- Computer vision and affective computing based intelligent systems
- Assistive technologies for healthcare and industry
- Novel applications and case studies for gaming, education, security, manufacturing, etc.
Prof. Jinchang Ren
Dr. Zhiyong Wang
Prof. Zheng Wang
Manuscript Submission Information
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