**Meet the editor**

Hamed Farhadi is a researcher at Ericsson Research, Stockholm, Sweden. He received his PhD degree from KTH Royal Institute of Technology, Stockholm, Sweden, in 2014. He was a postdoctoral research fellow at Harvard University, Cambridge, MA, USA, in 2016, and a researcher at Chalmers University of Technology, Gothenburg, Sweden, in 2015. His research interests

mainly lie in statistical signal processing and machine learning for a broad range of applications including wireless healthcare systems, microrobotic surgery, clinical data analysis, and wireless information networks. He has been the recipient of several academic awards including best paper award of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) in 2014. Dr. Farhadi was the cochair of IEEE International Symposium on Medical Information and Communication Technology (ISMICT) in 2015. He has been the editor of Springer International Journal of Wireless Information Networks since 2015.

Contents

**Preface VII**

Li Du and Yuan Du

**Data Collections 15**

Sherrene Bogle

Andreea Mihailescu

**Localization 141**

**Detection from Tweets 49**

Chapter 1 **Hardware Accelerator Design for Machine Learning 1**

Yves Rybarczyk and Rasa Zalakeviciute

**Determine Citizens' Perceptions 65**

**Machine Learning to Deep Learning 83**

**Cognitive Radio Networks 117** Ahmed Mohammed Mikaeil

Chapter 7 **Machine Learning Algorithm for Wireless Indoor**

Chapter 8 **Classification of Malaria-Infected Cells Using Deep Convolutional Neural Networks 159**

Osamah Ali Abdullah and Ikhlas Abdel-Qader

W. David Pan, Yuhang Dong and Dongsheng Wu

Chapter 2 **Regression Models to Predict Air Pollution from Affordable**

Chapter 3 **Multiple Kernel-Based Multimedia Fusion for Automated Event**

Chapter 4 **Using Sentiment Analysis and Machine Learning Algorithms to**

Chapter 5 **Overcoming Challenges in Predictive Modeling of Laser-Plasma Interaction Scenarios. The Sinuous Route from Advanced**

Chapter 6 **Machine Learning Approaches for Spectrum Management in**

Suhuai Luo, Samar M. Alqhtani and Jiaming Li
