Introduction Diagnosis of cancer in breast cells is an important and vital issue in the field of
medicine. In this context, the use of advanced methods such as deep complex neural …

Assessment of urban structural damage is crucial in the management of disasters like
earthquakes or any structural damages, such as complete collapse, collapsed roofs, rubble …

Machine learning techniques have been have proven to be more effective than conventional
extensively used in the creation of intrusion detection systems (IDS) that can swiftly and …

The medical field has come a long way in recent years. This fact is directly related to the
application of computer science, particularly artificial intelligence. Computer vision is one of …

In this study, we propose a framework that enhances breast cancer classification accuracy
by preserving spatial features and leveraging in situ cooling support. The framework utilizes …

In 21st century human beings deals with a variety of diseases as a result of their lifestyle
choices and the surroundings environment. Taking precautionary measures for health is …

In order to increase the effectiveness and precision of cyber threat detection in computer
networks, deep learning techniques are being applied in the construction of intelligent …

Breast cancer is a prominent health concern worldwide, currently being the secondmost
common and second-deadliest type of cancer in women. While current breast cancer …

Twitter analysis has emerged as a fascinating field of inquiry, and the recent Russia-Ukraine
conflict has garnered significant international interest. Twitter users, particularly those from …

Global analysis indicates a notable rise in non-infectious vision impairments, with India
seeing a pronounced spike in cases. Numerous international investigations have shown that …