[Air-L] Intl Journal of Digital Signal Processing
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Fri Dec 18 23:49:28 PST 2020
International Journal of Digital Signal Processing and Artificial
Intelligence for Automatic Learning (DSPAIAL)
CALL FOR PAPERS
The journal Digital Signal Processing and Artificial Intelligence for
Automatic Learning (AL) invites submissions of
original contributions. AL usually plays an important role in
transitions from data storage to decision support
systems based on very large signal databases, such as the data obtained
from sensor networks, internet
services, or communication systems. These systems stimulate the
development of both computational solutions
and novel models. Signals from real-world systems, such as speech,
music, biomedical, and multimedia systems,
are usually quite complex, making digital signal processing very useful
for the automation of analytic operations to
retrieve information from data storage.
Topics will range from foundations for real-world systems and speech
processing to language analysis,
biomedicine, convergence and complexity analysis, machine learning,
social networks, sparse representations,
visual analytics, and robust statistical methods.
Topics
This journal solicits papers on machine learning approaches for all
aspects of digital signal processing and artificial
intelligence with regard to AL, including (but not limited to) topics
such as:
EDITOR IN CHIEF
Ricardo Rodriguez Jorge, (JEP University, Czech Republic)
MANAGING EDITOR
Pit Pichappan, (Digital Information Research Labs, India & UK)
DSPAIAL(Indexing/Abstracting)
"In process"
IMPORTANT DATES
Paper Submission Due: January 15, 2021
Notification to Authors: March 15, 2021
Camera-Ready Papers Due: May 15, 2021
Please visit: [1]http://dspaial.org/ or contact
ricardo.rodriguezjorge.mx at ieee.org
for Submission information and additional details
• Bayesian and distributed learning
• Smart grids, games, and social networks
• Computational intelligence
• Data-driven adaptive systems
• Data-driven models
• Multimodal data fusion
• Multiset data analysis
• Perceptual signal processing
• Applications (biomedical signals, biometrics,
bioinformatics)
• Learning theory
• Cognitive information processing
• Neural networks
• Classification and pattern recognition
• Nonlinear signal processing
• Graphical models and kernel methods
• Genomic signals and sequences
• Multichannel adaptive signal processing
• Kernel methods and graphical models
• Sparsity-aware learning
• Subspace/manifold learning
IMPORTANT DATES
Paper Submission Due: January 15, 2021
Notification to Authors: March 15, 2021
Camera-Ready Papers Due: May 15, 2021
Please visit: [2]http://dspaial.org/ or contact
ricardo.rodriguezjorge.mx at ieee.org
for Submission information and additional details
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References
1. http://dspaial.org/
2. http://dspaial.org/
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