The explosive growth of Internet of Things (IoT) devices has led to escalating threats from
distributed denial of service (DDoS) attacks. Moreover, the scale and heterogeneity of IoT …

Document Clustering is an automatic data organization technique that greatly minimizes
complexity and time. The size of high-dimensional papers poses significant concerns and …

Object detection plays a vital role in enabling drones to perceive and interact intelligently
with their surroundings. The process involves data collection, selecting appropriate deep …

With the growing prevalence of skin diseases and the ever-increasing potential of
computational diagnostics, this study delves into the exploration and comparison of three …

A Distributed Denial-of-Service (DDoS) attack is a malicious attempt to reduce normal traffic
service, or network by spreading a target or its associated infrastructure with an internet …

In the era of digital governance, understanding public sentiment towards governmental
initiatives is crucial for policy success and citizen engagement. This paper presents a novel …

One of the leading causes of death for women is ovarian cancer (OC). More recently, deep
learning has demonstrated improved accuracy in OC stage and subtype prediction …

Big data processing presents itself as a novel and promising analytical field for extracting
useful information from enormous databases. It is used to handle vast volumes of knowledge …

Diabetic Retinopathy (DR) is a prevalent eye condition affecting individuals with diabetes,
often leading to blindness in adults. Manual diagnosis by ophthalmologists has historically …