Call For Papers - The World's Largest Index/List of Call For Papers

Springer Book, Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

MIDATASMART-BOOK 2021

URL: https://sites.google.com/view/midatasmart-book
Call For Paper Type: BookChapter
H2 Index: 0
Submission Date: 2020-09-30
Notification Date: 2020-10-30
Final Version Date: 2020-11-20

Data Mining & Analysis Databases & Information Systems Artificial Intelligence

Call for Book Chapters (CFC)
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
by Springer
Publication in "Studies in Computational Intelligence" Indexed by (Scopus & Web of Science)
URL: https://sites.google.com/view/midatasmart-book
*** ALL Submissions must be via the online submission system ***
SCOPE:
On the onset of a new era of global transformation, the residents and their surrounding environments are increasingly getting connected through rapidly-changing intelligent technologies. This transformation offers great promise for improved wellbeing and prosperity but poses significant challenges at the complex intersection of technology and society. Future smart connected cities in turn, aims to synergistically integrate intelligent technologies with the natural and built environments, including infrastructure, to improve the social, economic, and environmental well-being of those who live, work, or travel within it. In recent years, Artificial Intelligence/Machine Learning (AI/ML) approaches have emerged as powerful computational models and have shown significant success to deal with a massive amount of data in unsupervised settings. AI/ML is influencing various technologies because it offers an effective way of learning representation and allows the system to learn features automatically from data without the need of explicitly designing them. With the emerging technologies, the Internet of Things (IoT), wearable devices, cloud computing and data analytics offer the potential of acquiring and processing tremendous amount of data from the physical world. AI/ML based algorithms help efficiently to leverage IoT and Big Data aspects in the development of personalized services in Smart Cities.
The scope for this book will be the retrospective study of past trends and the current state of AI/ML oriented features for future smart cities. It will create future vectors in this specific domain of special interests: blockchain-based secure data management implementations that deal with privacy, integrity, and other crucial security and forensics requirements. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.
TOPICS:
Big data technologies for smart cities
Blockchain for finance industries of smart cities
Cloud computing for smart city engineering
Context -aware Security and Privacy of smart cities
Data Analytics Tools and Technologies for smart cities
Data oriented Case studies of applying IoT in smart cities
Intelligent infrastructure of smart cities
Internet of Things for Sustainable Development
IoT Applications and Services in Urban Context
Machine Learning Approaches in smart cities
Middleware for Utility-based Provisioning of smart city
Mobile applications for smart cities
Mobility and Smart Transportation
Open Platforms for smart cities
Privacy and Social Issues in smart cities
Resilience and Sustainability of smart cities
Sensor and RFID applications of smart cities
Smart buildings, smart homes, smart energy grids and Data Management
Smart education
Smart health solution
Smart mobility and transportation
Smart urban governance
Urban modelling for smart cities
Use cases for Smart Cities
IMPORTANT DATES:
Chapters Submission: September 30, 2020
Authors notification: October 30, 2020
Camera-ready submission: November 20, 2020
Publication date: 1st quarter of 2021
SUBMISSION:
Authors are invited to submit their full chapter by September 30, Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. Submitted manuscripts should respect the standard guidelines of the Springer book chapter format. Manuscripts must be prepared using Latex, or Word, and according to the Springer requirements that can be downloaded from the (https://www.google.com/url?q=https%3A%2F%2Fwww.springer.com%2Fde%2Fauthors-editors%2Fbook-authors-editors%2Fresources-guidelines%2Fbook-manuscript-guidelines%2Fmanuscript-preparation%2F5636&sa=D&sntz=1&usg=AFQjCNE58Q-WqUuQcPgTCZLPGVcanQGXxw) and the Chapter should contain in between 15-24 pages. Manuscripts that do not follow the formatting rules will be rejected without review. Prospective authors should send their manuscripts electronically through the easychair submission system as mentioned below:
https://easychair.org/conferences/?conf=mibdatacyber2020
NB: There are no submission or acceptance fees for manuscripts submitted to this book for publication. All manuscripts are accepted based on a double-blind peer review editorial process
The chapter prior to submission should be checked for plagiarism from licensed plagiarism software like Turnitin, iThenticate, etc. The similarity content should not exceed 25% (in any case either self -sourced contents or others).
PUBLICATION:
The accepted chapters will be published in "Studies in Computational Intelligence" by Springer, h-index = 40, highly indexed in Scopus, Thomson reuters, EI, DBPL…
EDITORS:
Uttam Ghosh, Vanderbilt University, USA
Yassine Maleh, Sultan Moulay Slimane University, Morocco
Mamoun Alazab, Australian National University, Australia
Al-Sakib Khan Pathan, Independent University, Bangladesh
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