Identity theft poses a significant threat to data privacy and online transactions in cybercrime.
A voice recognition approach was created to prevent this issue in security access. Every …

Cyberbullying has emerged as a significant societal concern, particularly its impact on
adolescents' psychological well-being. This paper explores the application of machine …

Cyberbullying has become a pervasive issue in today's digital age, affecting individuals of
all ages across various online platforms. Bystanders, individuals who witness cyberbullying …

Cyberbullying has emerged as a pervasive issue in the digital age, posing significant
challenges to the safety and well-being of individuals, especially among youth. Traditional …

Cyberbullying is a pervasive issue with serious psychological and social consequences for
its victims. This paper proposes the development of a machine learning-powered support …

The Ethics of Machine Learning in Cyberspace Machine learning (ML) algorithms play an
increasingly vital role in shaping interactions and experiences in cyberspace. This paper …

Skin cancer is a significant global health concern, with early detection being crucial for
effective treatment and improved patient outcomes. Recent advances in machine learning …

The advent of machine learning has revolutionized the analysis of online language, yet
challenges remain in developing models that truly understand context and nuance. This …

Social engineering attacks are a prevalent threat in both physical and cyberspace
environments, exploiting human psychology to deceive individuals or organizations into …

Body odor detection plays a crucial role in various fields, including healthcare, personal
hygiene, and forensic science. Traditional methods for detecting body odor are often …