Spam emails have been traditionally seen as just annoying and unsolicited emails
containing advertisements, but they increasingly include scams, malware or phishing. In …

This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …

Electronic mail has eased communication methods for many organisations as well as
individuals. This method is exploited for fraudulent gain by spammers through sending …

Spam is commonly defined as unwanted e-mails and it became a global threat against e-
mail users. Although, Support Vector Machine (SVM) has been commonly used in e-mail …

Email is a convenient means of communication throughout the entire world today. The
increased popularity of email spam in both text and images requires a real-time protection …

The adaptive nature of unsolicited email by the use of huge mailing tools prompts the need
for spam detection. Implementation of different spam detection methods based on machine …

Spam emails have become more prevalent, necessitating the development of more effective
and reliable anti-spam filters. Internet users face security threats, and youngsters are …

Despite the great advances in spam detection, spam remains a major problem that has
affected the global economy enormously. Spam attacks are popularly perpetrated through …

Extreme Learning machines (ELM) and Support Vector Machines have become two of the
most widely used machine learning techniques for both classification and regression …

Background. Psoriasis is a chronic autoimmune disease impairing significantly the quality of
life of the patient. The diagnosis of the disease is done via a visual inspection of the lesional …