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WSPML 2020 : 2020 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2020)


When Nov 20, 2020 - Nov 22, 2020
Where Kuala Lumpur, Malaysia
Submission Deadline Oct 20, 2020
Notification Due Oct 20, 2020
Final Version Due Oct 20, 2020
Categories    signal processing   machine learning

Call For Papers

★2020 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2020)-- Ei Compendex & Scopus—Call for papers
|November 20-22, 2020|Kuala Lumpur, Malaysia|Website:

★WSPML 2020 presents researchers, engineers, and academics with an unprecedented opportunity to associate and interact with some of the foremost experts in the field of Signal Processing and Machine Learning from around the globe. WSPML 2020 aims to be the must-visit conference of the year for the field, and will be the ideal forum for the exchange of ideas and innovations that promise to change the face of the industry. For researchers, an engineers, or industry professionals, this conference could mark an important point in your career. 

★Publication and Indexing
All accepted and registered papers of WSPML 2020 will be published in the digital conference proceedings which will be sent to be indexed by all major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
A selection of papers will be recommended to be published in journals.

★Keynote Speakers
Prof. Soo-Young Lee, Korea Advanced Institute of Science and Technology, South Korea
Dr. Swagatam Das, Indian Statistical Institute, Kolkata, India

★Program Preview/ Program at a glance
November 20: Conference registration + Tutorial(pending) +  Icebreaker reception
November 21: Invited Speech + Technical Sessions +  Closing Ceremony
November 22: One day Tour/ Halfday tour/Field trip

★Paper Submission
1. PDF version submit via CMT:
2.Submit Via email directly to:

Ms. Frigga C.M Ng

Call for papers(
Adaptive Filtering & Signal Processing
Ad-Hoc and Sensor Networks
Analog and Mixed Signal Processing
Applications (biomedical signals, biometrix, bioinformatics)
Multichannel adaptive signal processing
Array Signal Processing
Artificial neural network (ANN)
Modulation and Channel Coding
Audio and Electroacoustics
Natural Language Processing
Mining Motion from Sequence
Audio/Speech Processing and Coding
Bayesian and distributed learning
Bioimaging and Signal Processing
Mining Images in Computer Vision
Biometrics & Authentification
Biosignal Processing & Understanding
Multimedia Signal Processing
Classification and pattern recognition
Multimedia & Human-computer Interaction
Classification techniques
Cognitive information processing
Communication and Broadband Networks
Communication Signal processing
Multiset data analysis
Computational Intelligence
Computer Vision & Virtual Reality
Cryptography and Network Security
Data-driven adaptive systems
Data-driven models
Design and Implementation of Signal Processing Systems
Multimedia Communications
Digital Signal Processing
DSP Implementations and Embedded Systems
Multimodal data fusion
Emerging Technologies
Extreme learning machine (ELM)
Feature extractions
Genomic signals and sequences
Graphical models and kernel methods
Hardware Implementation for Signal Processing
Higher Order Spectral Analysis
Image and Multidimensional Signal Processing
Image Processing & Understanding
Image/Video Processing and Coding
Industry Technology
Internet Signal Processing
Kernel design
Kernel methods and graphical models
Learning and adaptive control
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Learning in process automation
Learning of action patterns
Learning of appropriate behaviour
Learning robots
Learning theory
Learning/adaption of recognition and perception
Least-squares SVM (LS-SVM)
Machine Learning for Signal Processing
Machine learning methods
Mining Images and Texture
Network Analysis and Intrusion Detection
Neural Methods
Neural networks
Next Generation Mobile Communications
Nonlinear signal processing
Nonlinear Signal Processing
Optical Communications
Parallel and Distributed Processing
PDE for Image Processing
Perceptual signal processing
Radar Signal Processing
Rapid Prototyping and Tools for DSP Design
RF and Wireless Communications
Sensor Array and Multi-channel Processing
Signal Processing and Communications Education
Signal Processing for Communications
Signal Processing for Security
Signal Processing Theory and Methods
Smart Grid, games, social networks
Sparsity-aware learning
Subspace/maniforld learning
Support vector machines (SVM)

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