Unsupervised learning, also known as unsupervised machine learning, analyzes and
clusters unlabeled data utlizing machine learning techniques. Without human input, these …

Abstract The popularity of Artificial Intelligence has grown lately with the potential it promises
for revolutionizing a wide range of different sectors. To achieve the change, whole …

Medical image segmentation is an essential process in disease analysis and diagnosis, in
which medical images are divided into specific areas of anatomic or pathological structures …

The Internet of Things (IoT) has revolutionized interaction with technology, enabling
seamless connectivity and data exchanges, opening up new possibilities for engineering …

This research aims to improve the performance of convolutional neural network (CNN) in
medical image segmentation that will detect specific parts of the body's anatomical …

The demand of healthcare services is rising, for eg, Europe and the US are experiencing
shortage of healthcare professionals. Artificial intelligence (AI) holds a promise to assist …

In today's dynamic and complex business landscape, effective management and decision-
making are crucial for organizations to thrive and adapt. The integration of intelligent …

With the continued embracement of digital transformation, the need for efficient collaboration
and communication between departments and partners becomes increasingly important …

This work aims to provide profound insights into neural networks and deep learning,
focusing on their functioning, interpretability, and generalization capabilities. It explores …

Intrusion detection, a pivotal facet of securing digital environments, intersects with the
proliferation of machine learning (ML) technologies, which have driven transformative …