Advances in Machine Learning and Signal Processing

1. Nonlinear System Modelling Utilizing Second Order Augmented Statistics Complex Value Algorithm

   • Chukwuemena Cyprian Amadi, Bukhari Che Ujang, Fazirulhisyam Bin Hashim

   Pages 223-235

2. Perceived Stress Scale and Brainwave Characteristic of Breastfeeding Women

   • Najidah Hambali, Noor Izzati Abd Halin, Zunairah Haji Murat, Nur Idora Abdul Razak

   Pages 237-246

3. Improved Speech Emotion Classification from Spectral Coefficient Optimization

   • Inshirah Idris, Md Sah Salam

   Pages 247-257

4. Classification of EEG Signals Using Single Channel Independent Component Analysis, Power Spectrum, and Linear Discriminant Analysis

   • Handayani Tjandrasa, Supeno Djanali

   Pages 259-268

5. Comparison of Text Forum Summarization Depending on Query Type for Text Forums

   • Vladislav Grozin, Kseniya Buraya, Natalia Gusarova

   Pages 269-279

6. Vibro-Acoustic Fault Analysis of Bearing Using FFT, EMD, EEMD and CEEMDAN and Their Implications

   • Satish Mohanty, Karunesh Kumar Gupta, Kota Solomon Raju

   Pages 281-292

7. An Evaluation of Convolutional Neural Nets for Medical Image Anatomy Classification

   • Sameer Ahmad Khan, Suet-Peng Yong

   Pages 293-303

8. Ant Colony Optimization and Feature Selection for Intrusion Detection

   • Tahir Mehmod, Helmi B. Md Rais

   Pages 305-312

This book presents important research findings and recent innovations in the field of machine learning and signal processing. A wide range of topics relating to machine learning and signal processing techniques and their applications are addressed in order to provide both researchers and practitioners with a valuable resource documenting the latest advances and trends. The book comprises a careful selection of the papers submitted to the 2015 International Conference on Machine Learning and Signal Processing (MALSIP 2015), which was held on 15–17 December 2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers, academicians, and practitioners an ideal opportunity to disseminate their findings and achievements. All of the included contributions were chosen by expert peer reviewers from across the world on the basis of their interest to the community. In addition to presenting the latest in design, development, and research, the book provides access to numerous new algorithms for machine learning and signal processing for engineering problems. 

• Radar Signal Processing
• Multimedia Signal Processing
• Speech Processing
• Signal Processing for Communications
• DSP architectures and Implementation
• Image Processing
• Statistical Signal Processing
• Machine Learning Algorithms
• Neural Networks

• University Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

  Ping Jack Soh, Mohd Shakir Saat

• Singapore Campus, #05-01 SIT Building, Newcastle University, Singapore, Singapore

  Wai Lok Woo

• Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

  Hamzah Asyrani Sulaiman, Mohd Azlishah Othman

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