Machine Vision Analysis in Industry 5.0: Fundamentals, Applications, and Challenges
Book to be published by CRC Press, Taylor & Francis Group
Last date of chapter submission: 20-August-2024
Book to be published by CRC Press, Taylor & Francis Group
Last date of chapter submission: 20-August-2024
Dear Researchers/Academicians,
We invite you to contribute your quality research to our upcoming book to be published by CRC Press-Taylor & Francis Group.
There is NO processing/publication charge for the book chapter.
The book will be submitted for indexing in Scopus by the publisher after book gets published.
The recent industrial revolution, known as Industry 5.0 or I50 aims to digitally transform the industrial activities in the manufacturing world by exploiting advanced technologies, such as artificial intelligence, machine vision, and image processing and analysis. Currently, the manufacturing process and its related industries are facing various challenges in improving the quality and quantity of products. In this direction, the I50 demands extensive research and development for implementing novel algorithms with the integration of the aforesaid technologies. The developed algorithms should have a high level of robustness, scalability, and sustainability to meet the requirements of the rapidly evolving industrial world. To this end, this book aims to highlight the challenges faced by the modern industrial world and present the recent developments done to address the challenges. The proposed book intends to provide a comprehensive view of how digital image analysis with machine vision is employed to digitally transform industrial activities.
The submissions are welcome in the following areas but not limited to:
1. Fundamentals of Image Analysis and Machine Vision: Application in Industry 5.0
2. Content-Based Image Analysis and Knowledge Discovery
3. Optimization Approaches in Feature Integration
4. Automation-Oriented Applications Toward Remotely Sensed Images
5. Practical Issues in Industry 5.0
6. Analysis of the Role of Image Processing Methods for Machine Vision-based Industrial Applications
7. Machine Learning Approaches for Statistical Analysis of Industrial Activities
8. Principles and Applications of Video Sequence Analysis
9. Study of the cutting-edge Machine Learning and Deep Learning Techniques for Industrial Applications
10. Theoretical and Practical Applications Toward Deep Learning in Visual Scene Analysis
11. Investigation of the Applications of Machine Vision for Depth Estimation and Object Tracking in 3-D Data
12. Analysis of Various Effective Learning Methodologies for Gesture Recognition in Industrial Environments.
13. Theoretical and Practical Foundations of Probabilistic Approaches Employed in Industrial Applications.
14. Principles and Applications of the Robotic Process Automation in Industry 5.0
15. Image Analysis and Machine Vision in Industry 5.0: Challenges and Future Directions
Full chapter submission deadline: 31-July-2024 20-08-2024
First round decision notification: 25-August-2024 05-09-2024
Revised full chapter submission deadline: 10-September-2024
Final decision notification: 1-October-2024
All Manuscripts must be original and not simultaneously submitted to another journal or conference. All the submissions should be made only through [SUBMISSION LINK] only.
Plagiarism Policy: The submitted full chapter must not be submitted elsewhere for any type of consideration for publishing. The Author should ensure the Plagiarism % is less than 15% (from any single source less than 2%).
Reviewing Policy: The editor(s) will engage two single-blind peer-reviewers to assess originality, clarity, usefulness, and adherence to the scope of the chapter.
The formatting of manuscripts should follow: A4 page format, single column with 11 point Times New Roman font with 1.5 line spacing, while submitting your manuscript as a Microsoft Office Word document. Use the Chicago manual style for referencing.
Article of 12-20 pages should be submitted for a single chapter.
Authors must provide a chapter abstract (no more than 150 words each).
Original articles with significant contributions from the Author(s) will be the major consideration for shortlisting the received chapters.
We are collaborating with an international publisher, it is mandatory that emphasis should be given for the correct use of English in the chapters. Use online grammar checking tools like ginger or Grammarly.
The title of the chapter should be concise, precise and should clearly state the main aim of the chapter. It must correlate to the proposed book chapter titles conveyed during the call of book chapter submission. Editors will arrange the chapters in a sequence so that they must be well synchronized and are in line with the title of the book. Thus, the title of the chapters can be re-framed to go well with the theme of the book, if required.
If you incorporate in the Work any material from third parties, then you have to take permission in writing from each copyright holder of such material to use and reprint such material in the Work consistent with the terms of the rights.
Customized Copyright Form and Permission Verification Form (PVF) will be shared among all authors in the last stage of this book submission to the publisher.
Please use the templates given below:
LaTeX: https://www.overleaf.com/latex/templates/krantz-book-template/vfrsjggghjcd
Microsoft Office Word: https://docs.google.com/document/d/1yLgFc7dRKJJXmYPmZzJdW3AHk8yvJlB1/edit?usp=sharing&ouid=118343694353036838179&rtpof=true&sd=true
Dr Vivek Kumar Singh, Department of Computer Science & Engineering, Sharda University Greater Noida, Uttar Pradesh, India [vivek.singh1@sharda.ac.in]
Dr Jitendra Kumar, Department of Computer Applications, Maulana Azad National Institute of Technology Bhopal, Madhya Pradesh, India [jitendra@nitt.edu]
Dr Deepika Saxena, Department of Computer Science and Engineering, University of Aizu, Japan [deepika@u-aizu.ac.jp]
Dr Abhishek Verma, Department of Information Technology, Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India [abhiverma@iiitdmj.ac.in]
Dr T Akilan, Department of Software Engineering, Lakehead University, Thunder Bay, Ontario, Canada [takilan@lakeheadu.ca]
Dr Ashutosh Kumar Singh, Indian Institute of Information Technology Bhopal, India [ashutosh@nitkkr.ac.in]