8th International Conference on Signal Processing and Machine Learning (SPML 2025)

Topics

• Signal processing theory and methods
  • Analog and Mixed Signal Processing
  • Adaptive Filtering & Signal Processing
  • Audio and Electroacoustics
  • Array Signal Processing
  • Bioimaging and Signal Processing
  • Audio/Speech Processing and Coding
  • Biosignal Processing & Understanding
  • Biometrics & Authentification
  • Communication Signal processing
  • Communication and Broadband Networks
  • Digital Signal Processing
  • Design and Implementation of Signal Processing Systems
  • Hardware Implementation for Signal Processing
  • DSP Implementations and Embedded Systems
  • Image and Multidimensional Signal Processing
  • Higher Order Spectral Analysis
  • Machine Learning for Signal Processing
  • Internet Signal Processing
  • Multimedia & Human-computer Interaction
  • Modulation and Channel Coding
  • Multimedia Signal Processing
  • Multimedia Communications
  • Nonlinear Signal Processing
  • Next Generation Mobile Communications
  • Parallel and Distributed Processing
  • Optical Communications
  • Radar Signal Processing
  • PDE for Image Processing
  • RF and Wireless Communications
  • Rapid Prototyping and Tools for DSP Design
  • Signal Processing and Communications Education
  • Sensor Array and Multi-channel Processing
  • Signal Processing for Security
  • Signal Processing for Communications
  • Ad-Hoc and Sensor Networks
  • Signal Processing Theory and Methods
• Machine learning methods/ algorithms
  • Image Processing & Understanding
  • Computer Vision & Virtual Reality
  • Natural Language Processing
  • Image/Video Processing and Coding
  • Learning and adaptive control
  • Machine learning methods
  • Learning for Handwriting Recognition
  • Learning/adaption of recognition and perception
  • Learning in process automation
  • Learning in Image Pre-Processing and Segmentation
  • Learning of action patterns
  • Learning of appropriate behaviour
  • Feature extractions
  • Learning robots
  • Least-squares SVM (LS-SVM)
  • Support vector machines (SVM)
  • Extreme learning machine (ELM)
  • Twin SVM (TWSVM)
  • Classification techniques
  • Artificial neural network (ANN)
  • Reinforce learning
  • Kernel design
  • Deep learning
• Artificial intelligence and it applications
  • Smart Tranportation
  • Smart Agriculture
  • Smart Mining
  • Smart City
• Data mining and knowledge discovey
  • Rough Set and Soft Computing
  • Three-way decision models and analysis
  • Mining Images in Computer Vision
  • Granular Computing Theory and its Applications
  • Mining Motion from Sequence
  • Mining Images and Texture
  • Network Analysis and Intrusion Detection
  • Neural Methods