Object classification, such as handwritten Arabic character recognition, is a computer vision
application. Deep learning techniques such as convolutional neural networks (CNNs) are …

Loss functions are used for estimating the accuracy of the classification models in Machine
Learning. The error loss value measures whether the predicted labels match the true labels …

Text extraction from images using the traditional techniques of image collecting, and pattern
recognition using machine learning consume time due to the amount of extracted features …

BACKGROUND [0002] Classification and object recognition is a funda mental problem in
robotics and computer vision, a problem that affects numerous problem domains and …

This research explores the implementation of mobile-robot navigation using a neural
network. A wall-following (bug) algorithm is implemented both conventionally and through …

The engine room of a modern vessel, where all machinery for the operation and propulsion
is located, is a large and extremely complicated compartment. It contains all types of …

Computer vision tasks require collecting large volumes of data, which can be a time
consuming effort. Automating the collection process with simulations speeds up the process …