Aqsa Rasheed

TL;DR: A comprehensive review of the recent development in the area of CBIR and image representation is presented and the main aspects of various image retrieval and image representations models from low-level feature extraction to recent semantic deep-learning approaches are analyzed.

TL;DR: A detailed study about various computer vision-based approaches with application in textile industry to detect fabric defects and the drawbacks and limitations associated with the existing published research are discussed.

TL;DR: This research aims to fine-tune ResNet50 by using network surgery and creation of network head along with the fine-tuning of hyperparameters to classify the images in a more effective and efficient manner as compared to the state-of-the-art research.

TL;DR: In this article, a comprehensive review about the various types of glaucoma, causes and possible treatment, details about the publicly available image benchmarks, performance metrics, and various approaches based on digital image processing, computer vision, and deep learning is presented.

TL;DR: This article covers all the challenges discussed above and presents a comprehensive overview of agile models from requirement engineering perspective and can be very helpful for software industry to improve development process.