AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
Abstract: This paper proposes an innovative framework for enhancing vehicular edge computing (VEC) efficiency by addressing challenges in traditional intelligent transportation systems and Internet of ...
Recently, machine learning has gained traction in stroke management, prompting the exploration of predictive models for HT. However, systematic evidence on these models is lacking. Objective: In this ...
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Spread the love“`html Artificial Intelligence (AI) has been a game-changer across numerous industries, with its applications ranging from automated customer service to predictive analytics. However, ...
Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...
Seventy-seven percent of U.S. small and midsize businesses report using AI regularly as of January 2026. That's up from 48% ...
As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
Abstract: A novel Model Predictive Control (MPC) framework called disturbance-learning MPC (DL-MPC) for constrained LTI systems subject to bounded disturbances is proposed. The primary objective is to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results