Calls
Emerald publishing
Call for papers for: International Journal of Intelligent Computing and Cybernetics
Submission deadline: 15th December 2020
Guest editors:
Dr V. Vinoth Kumar, MVJ College of Engineering
Email: vinothkumar@mvjce.edu.in
Dr Gautam Srivastava, Brandon University
Email: srivastavag@brandonu.ca
Dr. Ahmed A. Elngar, Beni-Suef University
Email: ahmedelnagar@fcis.bsu.edu.eg
Dr Polinpapilinho F. Katina, University of South Carolina Upstate
Email: pkatina@uscupstate.edu
Overview of special issue
The aim of the special issue is to present the latest advances and developments of computational intelligence applications, new methods/techniques, systems and tools dedicated to technological advancement applications for smart manufacturing and Industry 4.0. Defining the term “Industry 4.0” or “smart factory can be summarized into four major components like Cyber-physical systems, IoT, On-demand availability of computer system resources and Cognitive computing. Today, a number of trends such as the internet of things (IoT), digital manufacturing, computational methodologies and cybernetics are considered key elements of the definition and implementation of Industry 4.0. Technological advancements in the ability to collect, transfer and analyze vast amounts of data very rapidly are at the core of this trend. Closely related, smart manufacturing is a concept that aims at developing smart intelligent systems that integrate these new technologies to rapidly adapt and respond to changes in the markets’ demands for high-quality products/applications. In practice, smart factories lie at the core of both, Industry 4.0 and smart manufacturing.
Indicative list of anticipated themes
- Computational intelligence applications on manufacturing systems
- Manufacturing data analysis and diagnostics for real-time reporting using intranet capabilities and/or the cloud
- Machine learning techniques to improve process control and part quality
- Human-machine interaction for intelligent manufacturing
- Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques
- Innovative sensing strategies for process monitoring and tracking of product history
- Big data analytics in data management and machine intelligence
- Fog, Edge and on-demand availability of computer system resources
- Use of Industrial Internet of Things (IIoT) for monitoring and maintenance
- Cloud-based applications for smart manufacturing
- Intelligent scheduling and optimization in manufacturing
- Digital twin driven intelligent manufacturing
- Real-time health assessment and analysis of industrial equipment
Key dates
Submission window opens: 15th September 2020
Submission closing date: 15th December 2020
Final acceptance date: 18th May 2021
Submission details
All submissions must be made via ScholarOne.
For more information, please see the author guidelines.
CRC Taylor & Francis
𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗕𝗼𝗼𝗸 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀:
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I am pleased to inform you that our edited book proposal titled [Artificial Intelligence and Machine Learning in Business Management: Concepts, Challenges and Case Studies ]
is accepted by **CRC Taylor & Francis **Publishing ( indexed on Scopus)
Taylor and Francis** Catalogue # 413153**
ISBN: 978-0-367-64555-7
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** List of Academic areas covered in the Book, but not limited to:**
Chapter 1: Introduction to AI & ML
I. Evolution of key AI technologies
II. What artificial intelligence (AI) is and its main classes of applications and capabilities
III. Core technologies associated with AI
IV. The differences between different types of AI technologies
V. The relationship between AI and other technology trends such as big data, cloud computing, and the Internet of Things (IoT)
VI. The role of data in AI
VII. The challenges in applying AI within the organizations
VIII. The limitations of AI
IX. How artificial intelligence AI impact operating and business models
X. Common strategic, operational, and cognitive challenges of AI
XI. Ethical issues surrounding AI
Chapter 2: Impact of AI & ML in Operations Management
Chapter 3: Impact of AI & ML in Marketing
Chapter 4: Impact of AI & ML in Human Resource Management
Chapter 5: Impact of AI & ML in Finance
Chapter 6: Impact of AI & ML in Strategy
Chapter 7: Impact of AI & ML on Society and Governments
Each of the above Modules (from 2 to 7) should cover the following basic aspects:
· Discussion of various functions under the said domain. (For e.g. Marketing covers functions like Sales, Advertising, CRM, etc)
· Case studies about AI technologies used various functions in the domain
· Need for use of AI & ML technologies in the domain
· Key achievements/ outcomes of AI & ML application
· Key Challenges in using AI & ML in the domain
· Future scope of AI & ML use in the domain.
Chapter 8: Logistics and Supply Chain Management
Chapter 9: Manufacturing and Industrial
Chapter 10: Advertisement and Customer Relationship
Chapter 11: Knowledge Management, Talent Management
Chapter 12: E-Governance and E-Learning ************************************************
All the authors must submit the abstract and chapter to :-
(Skpanda00007@gmail.com)
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Important Deadlines:
Deadline for submission : 31 August 2020
First Notification : 5 September 2020
Full Chapter Submission : 30 November 2020
First Notification : 15 December 2020
Revised Version 30 December 2020
First Notification : 10 January 2020
Final Notification : 20 January 2021
Submit to CRC publisher : 31 January 2021
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Thanks and Regards,
1- Dr. Sandeep Kumar Panda, India
2- Dr. Vaibhav Mishra,India
3- Dr. R. Balamurali, India
4- Dr. Ahmed Elngar, Egypt
Information Science Progression for COVID-19 Pandemic
[Information Science Progression for COVID-19 Pandemic ] accepted by Apple Academic Press , CRC Taylor & Francis Publishing.
List of Academic areas covered in the Book, but not limited to:
1. Outline of Information Science Progression for COVID-19 Pandemic
2. Design Perception and Computation for COVID-19
3. Predictive Systems for COVID-19
4. Information Science Treatment for COVID-19
5. Artificial Intelligence Based Solutions for COVID-19
6. Big Data for COVID-19
7. IoHT and Public Safekeeping for COVID-19
8. Mobile Technology Solutions for COVID-19
9. Government Applications and Strategies for COVID-19 Pandemic
10. Social Media Upshot for COVID-19 Pandemic
11. Design and Implementation of New Data Models for COVID-19 Pandemic
12. Case Study: Approach and Application.
All the authors must submit the abstract and chapter to :-
(aapispcovid19@gmail.com)
Important Deadlines:
Abstract Proposal Submission (1000 words, limited to 4 pages): 15/ 07/ 2020
Proposal Review (Acceptance/Rejection) : 30/ 07/ 2020
Final (Full) Chapter Submission: 31/ 08/ 2020
NCSET2020 is an International forum for new trends in Computer Science and Engineering. The conference welcome unpublished papers in different tracks in the fields of Computer Science and Engineering. NCSET2020 for the first time gathers research specialists from different backgrounds for a discussion meetings. It will build a fruitful relationship between the authors for future collaboration. (1nd-2nd July, 2020)
2nd INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES IN DATA MINING AND INFORMATION SECURITY (IEMIS 2020) which will be held at Institute of Engineering & Management, Kolkata, West Bengal. India on (2nd and 4th July, 2020) will be organized by the School of Information Technology (Ashram Campus), a unit of Institute of Engineering & Management.
ICIER 2020 is an International Conference on Innovation and Engineering Research. The conference welcome unpublished papers in different tracks in the fields of Computer Science and Engineering. ICIER conceptualized to foster students, researchers, academicians and industry persons from different backgrounds for a discussion meeting. It will build a fruitful relationship between the authors for future collaboration. ( Beni Suef, Egypt | 25-26 November 2020)
Applications of Computational Intelligence in Multi–Disciplinary Research
This book Edited Book by:
1- Dr. Ahmed Elngar, Faculty of Computers & Artificial Intelligence Beni-Suef University, (Egypt).
2-Dr. Rajdeep Chowdhury, “Prafulla,” Amratala Lane, Chinsurah, District–Hooghly, State–West Bengal, (India)
3-Dr. Mohamed Elhoseny, Faculty of Computers and Information, Mansoura University, (Egypt).
4- Dr. Valentina Emilia Balas, Faculty of Engineering, “Aurel Vlaicu” University of Arad, (Romania).
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Applications of Computational Intelligence in:
Module–1: Artificial Intelligence for Inclusive Growth:
This chapter considers the implications of artificial intelligence for Inclusive Growth.
Module–2: Big Data Analytics and Security Over Cloud:
The main focus is on security problems in cloud computing that are associated with big data. Big data Analytics is a great benefit to organizations, business, companies and many small scales and large-scale industries.
Module–3: Bioinformatics and Biotechnology:
Bioinformatics and Biotechnology creates heuristic approaches and complex algorithms using computational intelligence in order to solve biological problems.
Module–4: Cryptography and Information Security:
In this chapter cryptography is the science and art of encrypting data so that only the intended receiver can decrypt and retrieve the original data. This chapter makes use the computational intelligence for Information Security.
Module–5: Digital Signal and Image Processing:
This chapter show the development of Digital Signal and Image Processing using Artificial Intelligence (AI), including both hardware and software algorithms.
Module–6: Intelligent Wireless and Sensor Networks:
The goal of this chapter is to introduce computational intelligence capability for the wireless sensor networks to become adaptive to changes within a variety of operational contexts and to exhibit intelligent behaviour.
Module–7: Machine Learning Microelectronics, Circuits and Systems:
Progress in microelectronic technology and Circuits and Systems is extremely fast and it is outstripping the designers' abilities to make use of the created opportunities. This chapter shows the importance of the Machine Learning techniques for the circuits and systems design space exploration, explains and discusses the place, role and way of use of these techniques in circuits and systems.
Module–8: Nanotechnology and Applications
During the last decade there has been increasing use of computational intelligence tools in nanotechnology research. This chapter shows some of these efforts in the context of interpreting scanning probe microscopy, the study of biological Nano systems, and generally in the design of nanodevices.
Module–9: Optimization Techniques:
Computational intelligence techniques try to simulate human behaviour. They present a better, and accurate solution to an optimization problem than the existing conventional techniques. This chapter shows some of the peculiar CI techniques and their properties.
Module–10: Web Security, Privacy and E–Commerce Business Computing:
This chapter will explore and discuss the development of relevant topics that are of high importance in computational Intelligence applied to the field of Web Security, Privacy and E–Commerce Business Computing.
Module-11: “Computational Intelligence for Industry”
The chapter could discuss what can Computational Intelligence provide to industry What it cannot (limitation) And others. Which means the readers can see the contribution of Computational Intelligence for the industry and limitation and the future directions.
Module- 12: "Internet of Things (IoT) using computational intelligence approaches"
The chapter could discuss how can computational intelligence solve many problems in Internet of (IoT) in many prospective.
All the authors must submit the abstract and chapter to :-
(acimr2021@gmail.com)
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Important Dates
Abstract Submission : 15 May 2020
Abstract Acceptance : 1 jun 2020
Full Chapter Submission : 15 August 2020
Notification to Authors : 1 September 2020
Submission of the revised versions : 30 October 2020
Final Acceptance Notification : 20 November 2020
Final Versions Due : 30 December 2020
Title:Innovations in Image Processing using Machine Learning
***Good Special Issue : Call for Papers *****
****** For Free *******
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Title:Innovations in Image Processing using Machine Learning.
Journal: International Journal of Image and Graphics
Indexed Journal: Scopus
*****Free publish********
https://www.worldscientific.com/…/ijig-callforpapers01-1585…
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Guest Editors contact details including email:
1. Prof. (Dr.) Tanvi Arora
CSE, CGC-College of Engineering, Landran, Mohali, Punjab, India
Email: tanviverma@rediffmail.com
2. Prof. (Dr.) Ahmed A. Elngar (Ph.D)
Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt
Email: elngar7@yahoo.co.uk
3. Prof. (Dr.) Renu Dhir
Dr. B.R Ambedkar National Institute of Technology, Jalandhar, Punjab, India
Email: dhirr@nitj.ac.in
4. Prof. Sunil Kumar Chawla
CGC-College of Engineering, Landran, Mohali, Punjab, India
Email: sunil.3550@cgc.edu.in
5. Prof. Rituraj Soni
Engineering College, Bikaner, Rajasthan, India
Email: rituraj.soni@gmail.com
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Recommended Topics:
Topics to be discussed in this special issue include (but are not limited to) the following:
1- Image Enhancement using Machine Learning
2- Image Manipulation using Machine Learning
3- Feature Extraction and Optimization using Machine Learning
4- Image Quality Analysis Using Machine Learning
5- Object/Target Detection, Recognition and Identification using Machine Learning
6- Pattern Recognition using Machine Learning
7- Image Compression using Machine Learning
8- Image Indexing and Retrieval using Machine Learning
9- Image Analysis and Understanding using Machine Learning
10- Remote Sensing Using Machine Learning
11- Image sampling Using Machine Learning
12- Real–Time Imaging Using Machine Learning
13- Medical Imaging Using Machine Learning
14- Computer Vision
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Timeline:
Submission Open date: April 1, 2020
Submission Deadline: June 30, 2020
Author Acceptance Notification: August 30, 2020
Final Acceptance: October 31, 2020
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Submission ink:
Special issue on Reliability and Usability of Machine Learning and IoT for Urban Intelligence
Title:Special issue on Reliability and Usability of Machine Learning and IoT for Urban Intelligence
Journal:Journal of Reliable Intelligent Environments
Publisher: Springer:
Indexed Journal: Scopus
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https://www.springer.com/journal/40860/updates/17910286
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https://www.sirg.club/events/upcoming-events
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Guest Editors contact details including email:
1- Dr. Krishna Kant Singh, KIET Group of Institutions, Ghaziabad, India, krishna.singh@kiet.edu, krishnaiitr2011@gmail.com
2- Dr. Ahmed A. Elngar, Beni-Suef University, Egypt, ahmedelnagar@fcis.bsu.edu.eg,
elngar_7@yahoo.co.uk
3- Dr. Ivan Izonin, Lviv Polytechnic National University, Ukraine, ivan.izonin@lpnu.ua
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Recommended Topics:
Topics to be discussed in this special issue include (but are not limited to) the following:
The topics of this special issue include, but are not limited to:
1- Reliability of IoT framework for Urban Intelligence
2- Usability of Machine learning architecture and framework
3- Security of Smart sensors for urban intelligence
4- Reliability modelling of IoT for Transportation, Mobility, and Traffic Control
5- Usability Analysis of IoT in Buildings and Infrastructures
6- Reliability and sustainability of smart cities
7- Machine Learning and IoT for handling Critical and Emergency situations and Disasters
8- IoT for Health, Safety, Well-being, Inclusion and Active Aging
9- Case Study: IoT & Machine learning for urban intelligence
Application of Machine learning & IoT for smart cities
10- IoT for supporting Policy Development and Governance
11- Social interaction and human behaviour in cities
12- Smart urban health care
13- Smart environment and resource management
14- Smart energy solutions and smart grids
Other Related Topics
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Timeline:
Deadline for submissions: June 25, 2020
1st round of acceptance notification: September 15, 2020
Submission of revised papers: October 10, 2020
2nd round of acceptance notification: November 10, 2020
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Submission ink:
https://www.springer.com/journal/40860/submission-guidelines
Global Research Conference (GRaCe 2020)
“Hybridizing Transdisciplinary Research towards Digital Society 5.0”
The Global Research Conference (GRaCe 2020) will take place in virtual space on 16-18 October 2020.
The conference is organized by the Department of Research and Industrial Linkages, Universiti Teknologi MARA Cawangan Terengganu in collaboration with several local and foreign universities as well as private and government agencies.
GRaCe 2020 brings its latest theme “Hybridizing Transdisciplinary Research towards Digital Society 5.0” which addresses current issues in digital era through cross-discipline research areas. It aims to provide an excellent opportunity for scholars, academic scientists, researchers, industrial practitioners, and students worldwide to share and exchange the concepts, theories, methodologies, empirical results, and transnational innovations resulted from the research that has been conducted.
All ACCEPTED articles will be published in SCOPUS indexed journal, subjected to discretion from the editors/reviewers of the journals.
Indexing matter is solely under the publishers of selected journals and not the Organizing Committee. The organizer is only responsible to publish selected papers in the indexed journals based on the Scopus list. The organizer is not to be blamed if there are changes occur after the conference date and no refund will be given.