Algorithms have evolved from machine code to low-code-no-code (LCNC) in the past 20
years. Observing the growth of LCNC-based algorithm development, the CEO of GitHub …

Global cyber-attacks significantly impact the economy, society, organizations, and
individuals. Existing research on cyber-attacks lacks in demonstrating Artificial Intelligence …

Modern-day news agencies cater for a wide range of negative news, since multiple studies
show general people are more attracted towards negative news. Once a highly negative …

AI-SocialDisaster is a decision support system for identifying and analyzing natural disasters
like earthquakes, floods, bushfires using social media feeds. It captures real-time social …

Cyber threats are projected to cause USD 10.5 trillion in damage to the global economy in
2025. Comprehending the level of threat is core to adjusting cyber posture at the personal …

Existing studies on Twitter-based natural disaster analysis suffer from shortcomings like
limitations on supported languages, lack of sentiment analysis, regional restrictions, lack of …

Social media platforms such as Twitter have been used by political leaders, heads of states,
political parties, and their supporters to strategically influence public opinions. Leaders can …

Tropical cyclones take precious lives, damage critical infrastructure, and cause economic
losses worth billions of dollars in Australia. To reduce the detrimental effect of cyclones, a …

The COVID-19 pandemic has had far-reaching consequences globally, including a
significant loss of lives, escalating unemployment rates, economic instability, deteriorating …

This paper reports a method for automatically identifying, analyzing and explaining
anomalies in different indexes of COVID-19 crisis using Artificial Intelligence (AI) based …