Groundwater models are essential for understanding aquifer systems behavior and effective
water resources spatio-temporal distributions, yet they are often hindered by challenges …

Multiple industries have been revolutionized by the incorporation of data science
advancements into intelligent environment technologies, specifically in the context of smart …

The automation of all-terrain vehicles (ATVs) through the integration of advanced
technologies such as machine learning (ML) and artificial intelligence (AI) vision has …

Develo** an artificial visual sensory system requires optoelectronic materials and devices
that can mimic the behavior of biological synapses. Organic/polymeric semiconductors have …

Recent years have witnessed numerous technical breakthroughs in connected and
autonomous vehicles (CAVs). On the one hand, these breakthroughs have significantly …

High-throughput microfluidic systems are widely used in biomedical fields for tasks like
disease detection, drug testing, and material discovery. Despite the great advances in …

The potential of neuromorphic computing to bring about revolutionary advancements in
multiple disciplines, such as artificial intelligence (AI), robotics, neurology, and cognitive …

In the era of the IoT revolution, applications are becoming ever more sophisticated and
accompanied by diverse functional and non-functional requirements, including those related …

The growing complexity of real-world systems necessitates interdisciplinary solutions to
confront myriad challenges in modeling, analysis, management, and control. To meet these …

Artificial intelligence (AI) as a disruptive technology is not new. However, its recent evolution,
engineered by technological transformation, big data analytics, and quantum computing …