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Cognitive Internet of Things: Frameworks, Tools and Applications

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  • © 2020

Overview

Editors:
  1. Huimin Lu

    1. Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

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  • Explores recent trends in the Cognitive Internet of Things
  • Includes selected papers from the 3rd International Symposium on Artificial Intelligence and Robotics 2018 (ISAIR2018), held in Nanjing, China on November 17–19, 2018
  • Discusses frameworks, tools, and applications in the field of the Cognitive Internet of Things

Part of the book series: Studies in Computational Intelligence (SCI, volume 810)

Included in the following conference series:

Conference proceedings info: ISAIR 2018.

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Table of contents (50 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. MEG Signal Reconstruction via Low-Rank Matrix Recovery for Source Imaging in Simulations

    • Yegang Hu, Jicong Zhang
    Pages 1-8

  3. Silhouette Photo Style Transfer

    • Henan Li, Lili Wan, Shenghui Wang
    Pages 9-18

  4. Improved Rao-Blackwellised Particle Filter Based on Randomly Weighted PSO

    • Ye Zhao, Ting Wang, Wen Qin, Xinghua Zhang
    Pages 19-29

  5. Local Binary Pattern Metric-Based Multi-focus Image Fusion

    • Wenda Zhao, Weiling Yin, Di You, Dong Wang
    Pages 31-40

  6. Photo Aesthetic Scoring Through Spatial Aggregation Perception DCNN on a New IDEA Dataset

    • Xin Jin, Le Wu, Geng Zhao, Xinghui Zhou, Xiaokun Zhang, Xiaodong Li
    Pages 41-50

  7. Synthesizing Virtual-Real Artworks Using Sun Orientation Estimation

    • Xin Jin, Xing Sun, Xiaokun Zhang, Hongbo Sun, Ri Xu, Xiaodong Li et al.
    Pages 51-58

  8. A Novel Sliding Mode Control for Human Upper Extremity with Gravity Compensation

    • Ting Wang, Wen Qin
    Pages 59-66

  9. Compressive Sensing-Based Optimal Design of an Emerging Optical Imager

    • Gang Liu, Desheng Wen, Zongxi Song, Zhixin Li, Weikang Zhang, Xin Wei
    Pages 67-75

  10. A Method of Film Clips Retrieval Using Image Queries Based on User Interests

    • Ling Zou, Han Wang, Pei Chen, Bo Wei
    Pages 77-84

  11. Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images

    • Xipeng Pan, Lingqiao Li, Huihua Yang, Zhenbing Liu, Yubei He, Zhongming Li et al.
    Pages 85-95

  12. Medicine Discrimination of NIRS Based on Regularized Collaborative Representation Classification with Gabor Optimizer

    • Zhenbing Liu, Huanhuan Ji, Shujie Jiang
    Pages 97-108

  13. Multi-objective Bird Swarm Algorithm

    • Dongmei Wu, Hao Gao
    Pages 109-119

  14. Performance Modeling of Spark Computing Platform

    • Jie Ding, Yunyue Xie, Meihua Zhou
    Pages 121-133

  15. An Improved Unsupervised Band Selection of Hyperspectral Images Based on Sparse Representation

    • Fei Li, Pingping Zhang, Huchuan Lu
    Pages 135-145

  16. Feature-Based Tracking via SURF Detector and BRISK Descriptor

    • Sangeen Khan, Sehat Ullah
    Pages 147-157

  17. Nuclear Norm Regularized Structural Orthogonal Procrustes Regression for Face Hallucination with Pose

    • Dong Zhu, Guangwei Gao, Hao Gao, Huimin Lu
    Pages 159-169

  18. A New Dataset for Vehicle Logo Detection

    • Shuo Yang, Chunjuan Bo, Junxing Zhang, Meng Wang, Lijun Chen
    Pages 171-177

  19. A Class of Chaos-Gaussian Measurement Matrix Based on Logistic Chaos for Compressed Sensing

    • Hongbo Bi, Xiaoxue Kong, Di Lu, Ning Li
    Pages 179-187

  20. Salt and Pepper Noise Suppression for Medical Image by Using Non-local Homogenous Information

    • Hu Liang, Shengrong Zhao
    Pages 189-199
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Keywords

About this book

This book provides insights into the research in the fields of artificial intelligence in combination with Internet of Things (IoT) technologies. Today, the integration of artificial intelligence and IoT technologies is attracting considerable interest from both researchers and developers from academic fields and industries around the globe. It is foreseeable that the next generation of IoT research will focus on artificial intelligence/beyond artificial intelligence approaches. The rapidly growing numbers of artificial intelligence algorithms and big data solutions have significantly increased the number of potential applications for IoT technologies, but they have also created new challenges for the artificial intelligence community. This book shares the latest scientific advances in this area.

Reviews

“The book serves as an overview of a body of research into a wide range of topics. … graduate students will find the book useful as a snapshot of the research … .” (J. P. E. Hodgson, Computing Reviews, January 7, 2022)

Editors and Affiliations

  • Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

    Huimin Lu

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