Breast cancer is one of the leading causes of death among women. Early detection of breast
cancer can significantly improve the lives of millions of women across the globe. Given …

Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML)
techniques have been widely used for botnet detection with flow-based features. The prime …

The Internet of Things (IoT) and network-enabled smart devices are crucial to the digitally
interconnected society of the present day. However, the increased reliance on IoT devices …

Glioblastoma, characterized as a grade 4 astrocytoma, stands out as the most aggressive
brain tumor, often leading to dire outcomes. The challenge of treating glioblastoma is …

In computer networks, intrusion detection systems are used to detect cyber-attacks and
anomalies. Feature selection is important for intrusion detection systems to scan the network …

Along with the advancement of online platforms and significant growth in Internet usage,
various threats and cyber-attacks have been emerging and become more complicated and …

The traditional healthcare systems are confronted with new issues as the number of patients
keeps rising. The design of the Internet of Medical Things (IoMT) addresses this problem …

Biomedical imaging plays an important role in advancing the quality of health care. It aids in
diagnosing and treating patients without the need for surgical intervention. Various types of …

The creation of methods and models that can learn and make predictions or judgments
based on such learning is artificial intelligence (AI). By combining an AI-driven intrusion …

With the rapid evolution of internal and external cyber threats, building a reliable security
management system has become an urgent demand to mitigate system risks. In such …