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ASPAI 2020 : 2nd International Conference on Advances in Signal Processing and Artificial Intelligence

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Link: http://www.aspai-conference.com/
 
When Nov 18, 2020 - Nov 20, 2020
Where Novotel Berlin Am Tiergarten, Berlin
Abstract Registration Due Oct 25, 2020
Submission Deadline Sep 30, 2020
Notification Due Oct 15, 2020
Final Version Due Oct 30, 2020
Categories    artificial intelligence   signal processing   machine learning   deep learning
 

Call For Papers

Advances in artificial intelligence (AI) and signal processing are driving the growth of the artificial intelligence market as improved appropriate technologies is critical to offer 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 using machine learning to sensors and signal data for analyses. The machine learning for sensors and signal data 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.

Artificial intelligence market growth is driven by increasing adoption of cloud-based applications and services growing big data increasing demand for intelligent virtual assistants advances in signal processing. The major restraint for such market is the limited number of AI technology experts.

The series of ASPAI conferences have been launched to fill-in 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, Technology (Machine 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 collaboration, exchanging ideas, and facilitating discussion between researchers, manufacturers and users. The first ASPAI conference has taken place in Barcelona (Spain) in 2019.

The ASPAI' 2020 is organized by IFSA with the media partners IOS Press (journal Integrated Computer-Aided Engineering (ISSN: 1069-2509, e-ISSN: 1875-8835)) and World Scientific (International Journal of Neural Systems (ISSN: 0129-0657, e-ISSN: 1793-6462)).


The purpose of ASPAI' 2020 is bring together leading international researchers, developers and practitioners interested in artificial intelligence and appropriate signal processing technologies.


The conference will offer plenary and invited talks, contributed oral and poster presentations, special sessions, industry tracks, panel discussions, tutorials and exhibition of commercial products. Social and cultural events will also take place to foster networking among the participants in a friendly manner.​We trust that you will find the ASPAI'2020 conference professionally rewarding and stimulating as well as enjoyable. Welcome to ASPAI' 2020 !

Authors are requested to submit 2-page extended abstract including illustrations and list of references according to the following topics (but not limited):


Artificial Intelligence:

• AI Algorithms
• Intelligent System Architectures
• Hybrid Intelligent Systems
• Artificial Neural Networks
• Expert Systems
• Intelligent Networks
• Parallel Processing
• Pattern Recognition
• Pervasive Computing and Ambient Intelligence
• Programming Languages Artificial Intelligence
• Soft Computing and Applications
• Artificial Intelligence Tools & Applications
• CAD Design & Testing
• Computer Vision and Speech Recognition
• Fuzzy Logic, Systems and learning
• Computational Theories, Learning and Intelligence
• Computational Neuroscience
• Soft Computing Theory and Applications
• Software & Hardware Architectures
• Web Intelligence Applications & Search
• Ambient Intelligence
• Artificial Immune Systems
• Autonomous and Ubiquitous Computing
• Bayesian Models and networks
• Data Fusion
• Distributed AI
• Machine Learning
• Deep Learning
• Learning and Adaptive Sensor Fusion
• Multisensor Data Fusion Based on Neural and Fuzzy Techniques
• Applied Artificial Intelligence
• Self-Organising Networks
• Virtual and Augmented Reality
• Emotion Detection


Signal Processing:

• Signal Processing Theory and Methods
• Sensor Array and Multichannel Signal Processing
• Multivariable Sensor Systems
• Digital Signal Processing
• Image and Video Processing
• Multichannel Signal Processing
• Biomedical Signal Processing
• Biometrics
• Chaotic and Fractal Systems
• Computer Vision and Pattern Recognition
• Image and Video Processing
• Information Theory and Coding
• Speech Signal Processing
• Signal Processing for Communications and Networking
• Radar and Sonar Signal Processing
• Satellite Signal Processing
• Nonlinear Signal Processing
• Statistical Signal Processing
• Signal Processing for Internet of Things
• Coding
• Wavelet Transformation
• Theory and Application of Filtering
• Spectral Analyze
• Multidimensional Signal Processing

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