6th International Workshop on Signal Processing and Machine Learning (WSPML 2024)

Key Topics

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