Advances in Machine Learning and Signal Processing

1. Front Matter

   Pages i-ix

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2. User Identification of Keystroke Biometric Patterns with the Cognitive RAM Weightless Neural Net

   • Weng Kin Lai, Beng Ghee Tan, Ming Siong Soo, Imran Khan

   Pages 1-12

3. Topology-Aware Mechanism to Improve Routing in Mobile Ad Hoc Networks

   • Baidaa Hamza Khudayer, Mohammad M. Kadhum, Tat-Chee Wan

   Pages 13-24

4. An Adaptive Learning Radial Basis Function Neural Network for Online Time Series Forecasting

   • Mazlina Mamat, Rosalyn R. Porle, Norfarariyanti Parimon, Md. Nazrul Islam

   Pages 25-34

5. Incremental-Eclat Model: An Implementation via Benchmark Case Study

   • Wan Aezwani Bt Wan Abu Bakar, Zailani B. Abdullah, Md. Yazid B. Md Saman, Masita@Masila Bt Abd Jalil, Mustafa B. Man, Tutut Herawan et al.

   Pages 35-46

6. Fall Detection Using Visual Cortex Bio-inspired Model for Home-Based Physiotherapy System

   • Nor Surayahani Suriani

   Pages 47-57

7. Online Clustering of Narrowband Position Estimates with Application to Multi-speaker Detection and Tracking

   • Maja Taseska, Gleni Lamani, Emanuël A. P. Habets

   Pages 59-69

8. Taguchi-based Parameter Setting of Cuckoo Search Algorithm for Capacitated Vehicle Routing Problem

   • Mansour Alssager, Zulaiha Ali Othman

   Pages 71-79

9. IncSPADE: An Incremental Sequential Pattern Mining Algorithm Based on SPADE Property

   • Omer Adam, Zailani Abdullah, Amir Ngah, Kasypi Mokhtar, Wan Muhamad Amir Wan Ahmad, Tutut Herawan et al.

   Pages 81-92

10. Choosing Geometric Dissimilarity Measure for Content Based Coral Reefs Image Retrieval

    • Wan Nural Jawahir Hj Wan Yussof, Muhammad Suzuri Hitam, Ezmahamrul Afreen Awalludin, Zainudin Bachok

    Pages 93-104

11. Block Compressive Sensing (BCS) Based Multi-phase Reconstruction (MPR) Framework for Video

    • Mansoor Ebrahim, Wai Chong Chia

    Pages 105-115

12. PAT and Px Code Sidelobe Reduction Using Wavelet Neural Network

    • Fayad Mohammed Ghawbar, Mustafa Sami, Nor Shahida Mohd Shah, Yasin Yousif

    Pages 117-128

13. Detecting Neighbor Discovery Protocol-Based Flooding Attack Using Machine Learning Techniques

    • Firas Najjar, Mohammad M. Kadhum, Homam El-Taj

    Pages 129-139

14. MFCC Global Features Selection in Improving Speech Emotion Recognition Rate

    • Noor Aina Zaidan, Md Sah Salam

    Pages 141-153

15. A Parametric Study of Compact UWB Antenna with Multiple Notched-Band Functions

    • Md. Moinul Islam, Mohammad Tariqul Islam, Mohammad Rashed Iqbal Faruque

    Pages 155-162

16. Parallel Implementation of Morphological Operations on Binary Images Using CUDA

    • Jun Ming Koay, Yoong Choon Chang, Shahirina Mohd Tahir, Sankaraiah Sreeramula

    Pages 163-173

17. Non Negative Matrix Factorization for Music Emotion Classification

    • Nurlaila Rosli, Nordiana Rajaee, David Bong

    Pages 175-185

18. Speech Enhancement Based on Noise Type and Wavelet Thresholding the Multitaper Spectrum

    • E.P. Jayakumar, P.S. Sathidevi

    Pages 187-200

19. Balinese Character Recognition Using Bidirectional LSTM Classifier

    • Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof, Thomas M. Breuel

    Pages 201-211

20. An Automated Multiple Choice Grader for Paper-Based Exams

    • Abrar H. Abdul Nabi, Inad A. Aljarrah

    Pages 213-222

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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