AAIADS 2020: Augmenting AI Applications in Data Science |
Abstract registration deadline | March 31, 2020 |
Submission deadline | April 30, 2020 |
Dear Recipient,
My Name is Professor "Christopher Thron", I am the guest editor of a new book "Augmenting AI Applications in Data Science" which will be published by springer. I would like to invite you to submit a new research work to our upcoming new book. the new book details are as follow:
Augmenting AI Applications in Data Science
Publication in "Studies in Computational Intelligence" by Springer
The field of Artificial Intelligence (AI) is growing explosively, Exciting new theories and ingenious practical implementations are coming out at a dizzying pace. AI has amply demonstrated its capabilities in enabling better delivery of services to citizens, greener and healthier living, improved customer response and internal operations in business and industry, citizen empowerment through improved access to information, more transparent and equitable government, and so on.
Besides identifying key techniques and trends in AI practice and research, this book also introduces and explains several recent successful applications of Artificial Intelligence. Included are detailed accounts of full-scale rollouts of AI solutions in various locations, particularly in the United Arab Emirates which has established the world’s first ministry of AI. Specific domains of application include resources & energy, tourism& hospitality, cybersecurity, healthcare, education, telecom and agriculture.
This book provides valuable information on effective, cutting-edge techniques, and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of Artificial Intelligence. The book will explain the data and AI, types and properties of data, the relation between A.I. algorithms and data, what makes data A.I. ready, steps of data pre-processing, data quality, data storage and data platforms.
Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
Submission Guidelines
All book chapters must be original and not simultaneously submitted to elsewhere. The following includes guidelines for submission:
- Submitted manuscripts should conform to the standard guidelines of the Springer book chapter format. Manuscripts must be prepared using Latex, or Word, and according to the Springer svmlt template that can be downloaded from the (link) and the Chapter should contain in between 20-25 pages. Manuscripts that do not follow the formatting rules will be ignored. Prospective authors should send their manuscripts electronically through the easychair submission system as mentioned below:
- There is no submission or publication fees.
- Conference paper may be extended to be a chapter provided extension is more than 60% from the original conference paper.
- Chapters not conforming to the above-mentioned guidelines shall not be considered for review purpose.
- Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance before being accepted for publication.
List of Topics
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The contributors are expected to further the knowhow on state-of-the art research challenges, results, architecture, applications, and other achievements in (but not limited to) the following topics:
- Al Algorithms
- Information Retrieval
- Intelligent System Architectures
- Multimedia & Cognitive Informatics
- Machine learning and Neural Networks
- Pattern Recognition and Text Recognition
- Pervasive Computing and Ambient Intelligence
- Programming Languages Artificial Intelligence
- Soft Computing and Applications
- Artificial Intelligence Tools & Applications
- AI in Data informatics.
- Data Science for Industry 4.0
- AI for Business data analytics.
- AI for Big Social Data Analysis.
- AI applications and Innovations.
- Deep Learning for Data Intelligence.
- IoT sensor Data Analysis and Fusion.
- Data Science Visualization using AI.
- Data Science and AI in e-Government and Society.
- Performance Tuning and optimization for Big Data Using AI.
- Optimization for machine Learning and Data mining in Big Data.
- Case studies of use of data science and AI applications in healthcare, education, tourism, logistics, cybersecurity and business.
Committees
Program Committee
- Prof. Christopher Thron
- Prof. Saad Subair
Publication
AAIADS 2020 will be published in 3rd quarter 2020 by Springer
Contact
All questions about submissions should be emailed to:
Prof. Christopher Thron, Department of Science and Mathematics, Texas A&M University, Central Texas, U.S. thron@tamuct.edu
Prof. Saad Subair, ssubair@gmail.com