Advances in Signal Processing and Artificial Intelligence
Special Issue Editor
Interests: smart sensors; optical sensors; frequency measurements
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
This Special Issue contains extended papers from the sixth International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2024), 17–19 April 2024, Funchal (Madeira Island), Portugal (https://aspai-conference.com).
Advances in artificial intelligence (AI) and signal processing are driving the growth of the artificial intelligence market, as improved, appropriate technologies are critical to offering enhanced drones, self-driving cars, robotics, etc. The two major factors enabling market growth are emerging artificial intelligence technologies and growth in intelligent signal processing. Today, more and more sensor manufacturers are applying machine learning to sensors and signal data for analyses. It is becoming easier than ever: hardware is becoming smaller and sensors are getting cheaper, making Internet of Things devices widely available for a variety of applications ranging from predictive maintenance to user behavior monitoring. However, the increased number of sensors in devices will inherently generate higher data throughput, which poses a serious challenge in managing and processing the tremendous amount of sensory information. Furthermore, traditional processing techniques in conventional sensing devices are no longer suitable for systematically labeling, processing, and analyzing the exuberant amount of information.
The artificial intelligence market’s size was USD 428.00 billion in 2022 and is projected to grow from USD 515.31 billion in 2023 to USD 2,025.12 billion by 2030, exhibiting a CAGR of 21.6 %.
The growth of the global AI market is driven by the increasing adoption of cloud-based applications and services, growing big data, increasing demand for intelligent virtual assistants, and advances in signal processing. A major limiting factor in AI reaching its full business potential is the availability of individuals with the right skills and capabilities to continue innovating.
A series of ASPAI conferences have been launched to fill this gap and provide a forum for open discussion and development of emerging artificial intelligence and appropriate signal processing technologies focused on real-word implementations by offering hardware, software, services, and technology (e.g., machine learning, deep learning natural language processing, context-aware computing, computer vision, and signal processing). The goal of the conference is to provide an interactive environment for establishing collaborations, exchanging ideas, and facilitating discussions between researchers, manufacturers, and users.
Dr. Sergey Y. Yurish
Guest Editor
Manuscript Submission Information
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Keywords
- AI algorithms
- Intelligent system architectures
- Artificial neural networks
- Machine learning
- Deep learning
- Signal processing theory and methods
- Sensor array and multichannel signal processing
- Multivariable sensor systems
- Digital signal processing
- Image and video processing
- Biomedical signal processing
- Computer vision and pattern recognition.
