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 ] 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)

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: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

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.