The Internet of Things (IoT) transforms traditional technology by introducing smart devices
into almost every field, enabling real-time monitoring and automation. Despite the obvious …

This paper presents a novel encryption technique that uses a unique chaotic circuit design
called as 3D Complex Whirl Wind Spiral chaotic system (CWWS). The major goal of this …

In modern communication systems, optimizing antenna phase is crucial for improving signal
quality and reducing interference. Genetic algorithms (GAs) are frequently employed for this …

The use of machine learning algorithms in order to, not only, detect the adversarial intend
behind side-channel attacks on cryptographic systems, but also to resist Differential Power …

Diabetes mellitus poses a significant global health challenge, with increasing prevalence,
particularly in low socioeconomic regions. Accurate and early diagnosis is crucial to prevent …

The proliferation of online forums and communities has greatly facilitated knowledge sharing
and user support but has also introduced the significant challenge of managing redundant …

This study demonstrates how artificial intelligence (AI) is transforming medical diagnosis,
particularly for respiratory disorders such as COVID-19 and influenza. The project aims to …

This research paper presents a comprehensive comparison of eight regression techniques
applied to a one-dimensional dataset. The study evaluates linear regression, polynomial …

This research aims at analyzing the performance of the SVM methodology in the detection of
malware by examining cross-traffic in the network using the CICIDS 2017 dataset. First, the …