With the rapid growth of social media platforms and online news consumption, the
proliferation of fake news has emerged as a pressing concern. Detecting and combating …

With the increase in available data from computer systems and their security threats, interest
in anomaly detection has increased as well in recent years. The need to diagnose faults and …

Metaheuristic algorithms can be very successful in solving scheduling problems. However,
these methods can be slow for time-critical applications due to the iterative stochastic …

While fake news is morally reprehensible, irresponsible parties intentionally use it to achieve
their goals by disseminating it to vulnerable and targeted groups. Machine learning …

In this paper, the no-wait flow shop problem with earliness and tardiness objectives is
considered. The problem is proven to be NP-hard. Recent no-wait flow shop problem …

In the context of the escalating use of social media in Arabic-speaking countries, driven by
improved internet access, affordable smartphones, and a growing digital connectivity trend …

Amidst the rapid dissemination of news, preventing misleading information is crucial. Using
sentiment score, count vectorization, Term frequency and inverse document frequency, this …

In the era where massive information can be spread easily through social media, fake news
detention is increasingly used to prevent widespread misinformation. Machine learning …

Aim: To develop an automated, reliable and effective system that detects fake news articles,
with the goal of reducing the spread of misinformation and promoting the dissemination of …

The emergence of social media has transformed how information is shared, but it has also
made it easier to spread false content. Allowing untrue information to circulate without …