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Machine Intelligence and Signal Analysis

  • M. Tanveer
  • Ram Bilas Pachori

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 748)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Y. Madhu Keerthana, M. Kiran Reddy
    Pages 1-10
  3. Pushpendra Singh, Ishita Srivastava, Amit Singhal, Anubha Gupta
    Pages 25-36
  4. Rekh Ram Janghel, Satya Prakash Sahu, Gautam Tatiparti, Mangesh Kose
    Pages 37-47
  5. S. Pare, A. K. Bhandari, A. Kumar, G. K. Singh
    Pages 71-84
  6. P. Gaur, G. Kaushik, Ram Bilas Pachori, H. Wang, G. Prasad
    Pages 107-118
  7. Vijay Bhaskar Semwal, Neha Gaud, G. C. Nandi
    Pages 135-145
  8. Dipankar Deb, Tirthankar Deb, Manish Sharma
    Pages 147-156
  9. Heisnam Rohen Singh, Saroj Kr Biswas, Biswajit Purkayastha
    Pages 157-170
  10. Abhishek Dixit, Sushil Kumar, Millie Pant, Rohit Bansal
    Pages 185-196
  11. Abhijit Bhattacharyya, Lokesh Singh, Ram Bilas Pachori
    Pages 209-221
  12. Vipin Gupta, Ram Bilas Pachori
    Pages 235-246
  13. Vikram Kehri, Rahul Ingle, Sangram Patil, R. N. Awale
    Pages 247-257
  14. Sridhar Thiagarajan, G. Satheesh Kumar
    Pages 259-266
  15. Prashant Upadhyaya, Sanjeev Kumar Mittal, Omar Farooq, Yash Vardhan Varshney, Musiur Raza Abidi
    Pages 303-311
  16. Nonita Sharma, Anju, Akanksha Juneja
    Pages 313-322
  17. Akshansh Gupta, Dhirendra Kumar, Anirban Chakraborti, Vinod Kumar Singh
    Pages 323-333
  18. Pinaki Ranjan Sarkar, Deepak Mishra, Gorthi R. K. Sai Subhramanyam
    Pages 335-346
  19. Nidhi Singh, Nonita Sharma, Akanksha Juneja
    Pages 363-374
  20. Princi Soni, Vijayshri Chaurasia
    Pages 375-385
  21. Rupali B. Patil, K. D. Kulat
    Pages 387-394
  22. Pritam Anand, Reshma Rastogi (nee Khemchandani), Suresh Chandra
    Pages 395-409
  23. Gagandeep Singh, Navjot Singh, Krishan Kumar
    Pages 411-421
  24. Shikhar Sharma, Shiv Naresh Shivhare, Navjot Singh, Krishan Kumar
    Pages 423-435
  25. Kasturi Barik, Rhiannon Jones, Joydeep Bhattacharya, Goutam Saha
    Pages 437-451
  26. Krishan Kumar, Deepti D. Shrimankar, Navjot Singh
    Pages 453-459
  27. Priyanka Bhatt, Navjot Singh
    Pages 461-472
  28. Sunny Shah, Manish Sharma, Dipankar Deb, Ram Bilas Pachori
    Pages 473-483
  29. Shiv Naresh Shivhare, Shikhar Sharma, Navjot Singh
    Pages 485-495
  30. Amit Abhishek, Suman Deb, Samarendra Dandapat
    Pages 497-508
  31. Dilip Singh Sisodia, Manjula Choudhary, Tummala Vandana, Rishi Rai
    Pages 533-544
  32. Dilip Singh Sisodia, Rahul Borkar, Hari Shrawgi
    Pages 545-553
  33. Suraj, Parthana Sarma, Amit Kumar Yadav, Amit Kumar Yadav, Shovan Barma
    Pages 555-567

About these proceedings

Introduction

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.

Keywords

Signal Processing Machine Learning Conference Proceedings MISP Early Diagnosis of Alzheimer disease Detection of Sleep Related Disorders Time-frequency Analysis Kernel Design

Editors and affiliations

  • M. Tanveer
    • 1
  • Ram Bilas Pachori
    • 2
  1. 1.Discipline of MathematicsIndian Institute of Technology IndoreSimrolIndia
  2. 2.Discipline of Electrical EngineeringIndian Institute of Technology IndoreSimrolIndia

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