The book is a systematic discussion on the many areas employing crowdsourcing as an essential part of social innovation. It fosters theoretical, methodological, well-established and validated empirical work concerning social media and crowdsourcing. Additional focus is on experimental and applied topics.
The book is a systematic discussion on the many areas employing crowdsourcing as an essential part of social innovation. It fosters theoretical, methodological, well-established and validated empirical work concerning social media and crowdsourcing. Additional focus is on experimental and applied topics.
Dr. Sujoy Chatterjee is an assistant professor, Department of Computer Science and Engineering, Amity University, Kolkata, India. Dr. Thipendra P Singh is currently a professor at the School of Computer Science Engineering and Technology, Bennett University, Greater Noida, NCR, India. Dr. Sunghoon Lim is currently an Associate Professor in the Department of Industrial Engineering and the Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea. Dr. Anirban Mukhopadhyay is currently a professor at the Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India.
Inhaltsangabe
Preface. Chapter 1 Introduction to Crowdsourcing. Chapter 2 Crowdsourcing through a Digital Ecosystem: A Futuristic Tool of Remote Behavior Modification. Chapter 3 Crowdsourcing Applications in Agriculture. Chapter 4 Crowdsourcing Outline for Contemporary Aided Medicinal Backup Systems. Chapter 5 Crowdsourcing-Based Recommendations in Travel and Tourism Market: A Review. Chapter 6 A Comparison of Capability Measurement between Various Incident Handling and Reporting Schemas. Chapter 7 Performance Evaluation of Support Vector Machine Kernel Functions on Students' Educational Data Set. Chapter 8 Survey of Sensors and Techniques in Microwave Imaging for Through-Wall Imaging for Detecting Trapped Humans under Rubble. Chapter 9 A Comparative Study on Available Fake Detection Apps. Chapter 10 Crowdsourcing Mechanisms for Reviving Cultural Heritage. Chapter 11 Ethical Issues in Crowdsourcing.
Preface. Chapter 1 Introduction to Crowdsourcing. Chapter 2 Crowdsourcing through a Digital Ecosystem: A Futuristic Tool of Remote Behavior Modification. Chapter 3 Crowdsourcing Applications in Agriculture. Chapter 4 Crowdsourcing Outline for Contemporary Aided Medicinal Backup Systems. Chapter 5 Crowdsourcing-Based Recommendations in Travel and Tourism Market: A Review. Chapter 6 A Comparison of Capability Measurement between Various Incident Handling and Reporting Schemas. Chapter 7 Performance Evaluation of Support Vector Machine Kernel Functions on Students' Educational Data Set. Chapter 8 Survey of Sensors and Techniques in Microwave Imaging for Through-Wall Imaging for Detecting Trapped Humans under Rubble. Chapter 9 A Comparative Study on Available Fake Detection Apps. Chapter 10 Crowdsourcing Mechanisms for Reviving Cultural Heritage. Chapter 11 Ethical Issues in Crowdsourcing.
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