Figure 1.Flowchart for project Risk management. As shown in Figure 1, there are different phases of the project risk management and all the stages are clearly explained below.. 3. Methods and ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Free Space Optics (FSO) has emerged as a crucial communication modality in recent years, especially with the implementation of techniques associated with the 5G network and its subsequent advancements ...

Satellite images have become a vital resource in a variety of fields, including environmental monitoring, urban planning, and disaster management. The adoption of deep learning algorithms has ...

Introduction Tic disorder (TD) is a common neurodevelopmental disorder in children, and it can be categorised into three subtypes: provisional tic disorder (PTD), chronic motor or vocal TD (CMT or CVT ...

The machine learning algorithms can improve the diagnostic value of MRI to obtain automation and accurate classification of MRI. In this research, we propose a supervised machine learning applied ...

1. Introduction. In recent years publications and product developments have shown the potential of artificial intelligence systems in cardiovascular medicine (1–4).Especially data-driven machine ...

We consider how updates, intended to improve ML models, can introduce new errors that can significantly affect downstream systems and users. For example, updates in models used in cloud-based ...