A mechanism to effectively detect malicious traffic in the present context where new cyber criminals and threatening actors are emerging every day, has become a compelling need.These invaders use overwhelming tactics that mask the nature of attacks and make bad acts seem innocuous.A growing number of trustworthy electronic systems and facilities ha
The requirements for structural performance and seismic performance in the field of civil engineering are increasing.Traditional building structures have certain limitations in extreme conditions such as earthquakes.Therefore, this study discusses the design of modular bi-directional load-bearing and energy dissipating joints in the context of inte
How flooding affects home values can determine the path of economic recovery for communities and have lasting impacts on national and global financial systems.Yet, our understanding of how flood insurance, community risk perception, and past Dolls flooding events shape future housing prices (HPs) remains limited.To explore this, we used a socio-env
In smart communities, social media allowed users easy access to multimedia content.With recent advancements in computer vision and natural language processing, machine learning (ML), and deep learning (DL) models have evolved.With advancements in generative adversarial networks (GAN), it has become possible to create fake images/audio/and video str
Abstract Background Currently, the main pharmaceutical intervention for COVID-19 is vaccination.While antidepressant (AD) drugs have shown some efficacy in treatment of symptomatic COVID-19, their preventative potential remains largely unexplored.Analysis of association between prescription of ADs and COVID-19 incidence in the population would be b