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:
Publisher:
The Institution of Engineering and Technology (the IET)
The Institution of Engineering and Technology (the IET)
Topics of Interest
Topics of Interest
Part I –Fundamentals and Concepts
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
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
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
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]