by CRC Press, Taylor & Francis Group
Inclusion of book chapters is free of charge
January 31, 2021: Chapters Submission
https://sites.google.com/view/xai-smart-cities-book
Submission Link: https://easychair.org/conferences/?conf=eaisc2020
SCOPE:
Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been taking active roles in daily life. It is clear that the 21st century has brought many advantages of using high level computation and communication solutions to deal with real world problems. However, more technology brings more change to society. In this sense, the concept of smart city has been a widely discussed topic in terms of society and Artificial Intelligence oriented research efforts. Because the rise of smart cities is somehow a transformation of both communities and technology use habits, there are many different research orientations to shape a better future.
Moving from the explanations, the objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart cities developments. Because recently designed advanced smart systems require intense use of complex computational solutions (i.e. Deep Learning, big IoT architectures), mechanisms of these systems become black-box to the users. Because black-box level means no clear clue about what is going within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, the issue has tried to be solved with additional use of XAI methods to improve transparency level. This book will provide a timely, wide international reference source about cutting edge research efforts to ensure the XAI factor in smart city-oriented developments. The book welcomes both positive and negative outcomes as well as future insights and both societal and technical aspects of XAI based smart city research efforts.
TOPICS:
XAI for Smart Education
Machine learning for smart education
Deep learning for smart education
Evolutionary algorithms for smart education
Smart learning solutions for combating Covid-19
XAI for Smart Health
Machine learning for smart health
Deep learning for smart health
Evolutionary algorithms for smart health
Smart health solutions for combating Covid-19
XAI for Smart transportation
Machine learning for smart transportation
Deep learning for smart transportation
Evolutionary algorithms for smart transportation
Smart learning solutions for combating Covid-19
XAI for Smart Finance
XAI for Smart Finance
Machine learning for smart finance
Deep learning for smart finance
Evolutionary algorithms for smart finance
Machine Learning for smart Trading
Deep Learning for smart Trading
Smart Contracts and Financial Instruments
Fraud Detection and Financial Crime Prevention
Banking and Financial Services for combating Covid-19
XAI for Smart Environment
Machine learning for smart environment
Deep learning for smart environment
Evolutionary algorithms for smart environment
Smart environment solutions for combating Covid-19
Cyber Security and XAI for Smart Cities
AI-based protocols and services for smart cities
IA-based communications Security
Security for Ubiquitous/Pervasive Computing
Big Data Analytics for Smart Cities Security
Machine Learning techniques for Cybersecurity and Privacy
Deep Learning techniques for Cybersecurity and Privacy