The conference welcomes the academicians and professionals to conduct their special sessions. For more information write your queries to:
Highlights of the conference and Special Session Benefits:
1. Proceedings in the reputed Scopus indexed Springer series (Proposed).
2. You will get a Concession of the total fees collected in your session.
3. The minimum number of registrations should be 8.
4. Extended papers in SCI/Scopus/ESCI/DBLP/ACM Digital Library journals. We have already got approval from some Scopus and high-quality journals. (Soon will be declared)
5. Opportunity to be a Session Chair at the conference.
6. Extra weightage and support will be provided for your session extended paper in SCI/ Scopus Journal.
7.Many international and national keynote speakers will be delivering their lectures on the latest innovative technologies at the conference.
8.Easy accessibility of the well-connected conference venue.
If you are interested to conduct a special session, send your interest upto 30 November 2020.
All the accepted papers (after double-blinded peer review) will be published in the CCIS Springer series (Proposed) and further extended accepted papers will be published in the special issues of SCI/SCOPUS/WoS/DBLP/ACM/EI indexed Journals.
Special session CFP Template
AI TECHNIQUES TO SOLVE COMPLEX PROBLEMS IN SMART CITIES
Dr. Rachna Jain
Bharati Vidyapeeth’s college of Engineering, New Delhi, India
Email ID: email@example.com
Dr. Preeti Nagrath
Bharati Vidyapeeth’s college of Engineering, New Delhi, India
Email ID: firstname.lastname@example.org
Anand Paul, Kyungpook National University, South Korea
Morteza Yazdani, Universidad Loyola Andalucia
Vikram Bali, JSS Academy of Technical Education, Noida
InderjeetKaur, Ajay Kumar Garg Engineering College, Ghaziabad
Mahesh Kumar, Jaypee Institute of Engineering and Technology, Guna, M.P.
Sandeep Kumar (Poonia). Amity University Rajasthan, Jaipur
Sanjeevi Kumar Padmanaban, Aalborg University, Denmark
G. Suseendran, Vels University, Chennai
BhawnaGupta, Professor, PIET Engineering College, Panipat.
Fadi Al-Turjman, Professor, Near East University, Turkey
Jafar A. Alzubi, School of Engineering, AL-Balqa Applied University, Salt, Jordan
Akshi Kumar, Delhi Technological University, New Delhi
Over the last decades there has been an increasing interest in using machine learning and in the last few years, deep learning methods, combined with other vision techniques to create autonomous systems that solve vision problems in different fields. This special session is designed to serve researchers and developers to publish original, innovative and state-of-the art algorithms and architectures for real time applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, neural networks, intelligent interfaces and biomimetic object-vision recognition. This special session provides a platform for academics, developers, and industry-related researchers belonging to the vast communities of *Neural Networks*, *Computational Intelligence*, *Machine Learning*, *Deep Learning*, *Biometrics*, *Vision systems*, and *Robotics *, to discuss, share experience and explore traditional and new areas of the computer vision, machine and deep learning combined to solve a range of problems in Smart Cities. The objective of the CFP is to integrate the growing international community of researchers working on the application of Machine Learning and Deep Learning Methods in Vision and Robotics to a fruitful discussion on the evolution and the benefits of this technology for Smart cities.
Topics to be discussed in this special session include (but are not limited to) the following:
- Healthcare and medical diagnosis in Smart Cities
- Social network modeling in Smart Cities
- Financial risk assessment in Smart Cities
- Marketing and E-commerce in Smart Cities
- Multimedia data mining in Smart Cities
- Visual surveillance in Smart Cities
- Application Systems for Big Visual Data Understanding in Smart Cities
- Education data mining in Smart Cities
- Location big data mining in Smart Cities
- Intelligent transportation system in Smart Cities
- Web mining in Smart Cities
- Text mining in Smart Cities
- Sentiment analysis for social media in Smart Cities
- Network security in Smart Cities
- Smart government
- Smart and cyber-physical devices in Smart Cities
- Self-adaptation, self-organization and self-supervised learning in Smart Cities
- Robust computer vision algorithms (operation under variable conditions, object tracking, behavior analysis and learning, scene segmentation,) in Smart Cities
- Convolutional Neural Networks CNN in Smart Cities
- Recurrent Neural Networks RNN in Smart Cities
- Deep Reinforcement Learning DRL in Smart Cities
- Hardware implementation and algorithms acceleration (GPUs, FPGA,s,.) in Smart Cities
- Computational Intelligence methods in Smart Cities
- Machine Learning methods in Smart Cities
Researchers and practitioners are invited to submit papers for this special theme session on AI TECHNIQUES TO SOLVE COMPLEX PROBLEMS IN SMART CITIES . All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE CONFERENCE’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.springer.com/series/7899l. All submitted papers will be reviewed on a double-blind, peer review basis.
NOTE: While submitting paper in this special session, please specify AI TECHNIQUES TO SOLVE COMPLEX PROBLEMS IN SMART CITIES at the top (above paper title) of the first page of your paper.
SPECIAL SESSION 2
The Role of Deep Learning in smart city applications using Industry 4.0 techniques.
Dr. Soumi Dutta, Institute of Engineering & Management, India, E-mail:
Dr. Sabyasachi Pramanik, Haldia Institute of Technology, India, E-mail:
Ms. M.K Mariam Bee, Saveetha School of Engineering, India, E-mail:
The fourth industrial revolution named as industry 4.0 was originally initiated in Germany. In recent literatures it has been widely attracted by the researchers. The main refrain related to industry 4.0 is with the Internet of Things (IoT), Cyber Physical System (CPS), information and communications technology (ICT), Enterprise Architecture (EA), and Enterprise Integration (EI).
The interconnection of various communication technologies with information components generates enormous amount of data in various formats. The major challenge in industry 4.0 is to develop efficient algorithms for dealing with such complex data. Pervasive integration of
information and communication technology into production components generates massive amounts of various data. The development of algorithms using deep learning for dealing with data will be one of major challenges in Industry 4.0. Hence, this conference theme is based on role of deep learning in industry 4.0. So, we require some essential problem and also expect creative solutions for respective problems by researchers, scientist or research groups. We invite high quality contributions from all research
areas that address the emerging challenges. Several topics of interest include, but are not limited to, the following:
• Applications of Industry 4.0
• Electronics and information technology in Industry 4.0
• Machine learning frameworks
• Big Data technology in Industry 4.0
• Security and Privacy pertaining to Industry 4.0
• IOT architecture for Industry 4.0
• Cyber-Physical Systems (CPS) based Industry 4.0
• Interoperability of Industry 4.0
• Role of technologies in Industry 4.0
• Role and Need of Deep Learning algorithms in Industry 4.0
• Need of Cloud and Edge computing in Industry 4.0Application of Technologies to solve
rural area problems.
• Cyber Security challenges and solutions in Digital Economy.
• Development of Data Analytics models to track fraudsters and tax evasion.
• Green Computing.
Researchers and practitioners are invited to submit papers for this special theme session on The Role of Deep Learning in smart city applications using Industry 4.0 techniques on or before 21 Dec 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE CONFERENCE’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.springer.com/series/7899l. All submitted papers will be reviewed on a double-blind, peer review basis.
NOTE: While submitting paper in this special session, please specify [The Role of Deep Learning in smart city applications using Industry 4.0 techniques] at the top (above paper title) of the first page of your paper.