CALL FOR CHAPTERS

for

EDITED BOOK

Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches (CVRS-MDA)

Fundamentals, technologies and applications

Prospective authors should send their manuscripts electronically through the easychair submission system:

https://easychair.org/conferences/?conf=cvrsmda2021


Chapter abstract submission: 5th October 2020 30th November 2020

Notification of chapter abstract acceptance: 20th October 2020 30th November 2020

First draft chapter submission to book editors: 31st January 2021

Publisher:

The Institution of Engineering and Technology (the IET)

Topics of Interest

Part I –Fundamentals and Concepts

  • Introduction [Editors]

  • Fundamentals [Editors]

  • Computer Vision and Recognition-based Safe Automated Systems

  • Machine Learning and Deep Learning-based Safe Automated Systems

Part II – Methodologies & Technologies

  • Intelligent Image Retrieval System using Convolutional Neural Networks [ABSTRACT SUBMITTED]

  • Renal Calculi Detection using Fuzzy Techniques [ABSTRACT SUBMITTED]

  • A Comprehensive Survey on Eye-tracking of Moving Objects

  • Multiple Images based automated 3D Face Reconstruction with Deep Neural Networks

  • A Survey on Visual Quality Improvement using the Defogging Techniques

  • A Survey for Exploring Text and Image Features to Classify Images

  • Image Indexing Techniques: A Survey

  • Image-based Modeling and Rendering: A Comprehensive Study

  • Reverse Image Search-based Caption Crawler System

  • Deep Learning–based Automated Image Searching and Collection Systems

Part III - Applications

  • Computer Vision-Based Automatic Target Recognition Systems with Deep Learning Algorithms

  • Computer Vision for Semi-automated Mobile Monitoring Applications

  • Automated Brain Tumor Robust Semantic Segmentation based on Deep Learning

  • Study on the Automatic Lip-Reading System Based on Deep Convolutional Neural Network

  • Applications of Object Detection Techniques using Deep Learning [ABSTRACT SUBMITTED]

  • Current Challenges and Applications of DeepFake Detection Systems [ABSTRACT SUBMITTED]

  • A traffic enforcement cameras monitoring to detect the wrong-way movement of vehicles using deep convolutional neural network [ABSTRACT SUBMITTED]

  • Vehicle Control System Based on Eye, Iris and Gesture Recognition with Eye Tracking [ABSTRACT SUBMITTED]

  • Deep Learning-based Remote Sensing imagery by Automated Terrain Feature Identification Systems [ABSTRACT SUBMITTED]

  • Computer vision applications in crop and livestock safety monitoring [ABSTRACT SUBMITTED]

  • Climate change and Weather monitoring Systems based on deep learning methods [ABSTRACT SUBMITTED]

  • Computer vision-based water remote sensing monitoring applications [ABSTRACT SUBMITTED]

Part IV - Others

  • Automated Detection of Defects and Grading of Cashew Kernels using Machine Learning Approach [ABSTRACT SUBMITTED]

  • Mobile Net Architecture and its Application to Computer Vision [ABSTRACT SUBMITTED]

  • An Approach to Image Denoising Using Autoencoders and Spatial Filters for Gaussian Noise [ABSTRACT SUBMITTED]

  • Real-Time Face Mask Detection on IoT Devices [ABSTRACT SUBMITTED]

  • Handwriting recognition using CNN and its optimization approach [ABSTRACT SUBMITTED]

  • PERFORMANCE EVALUATION OF NOVEL MULTI-FOCUS IMAGE FUSION USING STATIONARY WAVELET TRANSFORM [ABSTRACT SUBMITTED]

  • Intelligent Image Retrieval System using Convolutional Neural Networks [ABSTRACT SUBMITTED]


  • Conclusion [Editors]