IoTCNN2021: IoT-Enabled Convolution Neural Networks: Techniques and Applications |
Website | https://sites.google.com/view/iotcnn/home |
Submission link | https://easychair.org/conferences/?conf=iotcnn2021 |
Abstract registration deadline | September 20, 2021 |
Submission deadline | September 30, 2021 |
In this edited book, we plan to provide a structured presentation of CNN applications related to vision, speech, and natural language processing. We will present a broad range of CNN tools techniques and applications such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving and radiology.
Convolutional Neural Networks (CNNs) perform exceptionally well in a variety of machine learning and deep learning applications. As sensor-equipped internet of things (IoT) devices pervade every part of modern life, running CNN inference, a computationally intensive application, on resource-constrained devices is becoming increasingly critical.
Unlike other books available on the market, this book will address the tools, techniques and challenges of CNN algorithms implementation, computation time, and the complexity of reasoning and modelling different types of data. It will also include active research trends and future directions of CNN.
Chapters relevant to the topic are invited, including but not limited to following:
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Introduction to IoT-enabled CNN Techniques
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IoT-enabled CNN: A Systematic Review and Bibliometric Analysis
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IoT-enabled CNN Architectures
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Applications of IoT-enabled CNN for Natural Language Processing
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Understanding the IoT-enabled CNN for Computer Vision
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IoT-enabled CNN on Analyzing Documents
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IoT-enabled CNN under Decoding Object Recognition
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IoT-enabled CNN for Business Applications
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IoT-enabled CNN in Understanding Climate Change
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Future Research Perspectives of CNN and IoT
This Book will be Published By : River Publishers
Submission Guidelines
All the contributors are invited to submit their proposal in file specifying:
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Proposed/Tentative Title of the Chapter
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List of contributing co-authors (Specify affiliation for each coauthor)
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Abstract- 300 words
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6 Keywords
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Table of Contents/Tentative Structure of the Chapter.
The Submission for the Proposal is welcome till 5th Sept. 2021 via Easychair only.
Editors
Dr. Mohd Naved, Dr V. Ajantha Devi, Dr Loveleen Gaur & Dr. Ahmed A.Elngar
Contact
Inquires can be forwarded to:
- Dr. Mohd Naved | Email: mohdnaved@gmail.com ; Mobile: +91-98998 86500 (WhatsApp also available)
- Dr V. Ajantha Devi | Email: ap3solutionsresearch@gmail.com ; Mobile:
- Dr Loveleen Gaur | Email: gaurloveleen@yahoo.com
- Dr. Ahmed A.Elngar | Email: elngar_7@yahoo.co.uk
Note : There are no submission or acceptance fees for manuscripts submitted to this book publication, “IoT-Enabled Convolution Neural Networks: Techniques and Applications ” All manuscripts are accepted based on a double-blind peer review editorial process.