2 天前 - … were identified: fully automated deep learning solutions, hybrid approaches
combining deep learning and conventional machine learning, and non-automated solutions using …

2 天前 - … A new generation of fully automated software based on machine learning principles
(Dynamic Heart model, DHM, Philips Healthcare, Andover, MA, USA) has recently been …

2 天前 - … the effects of the proliferation of novel automation technologies has been ignited by
the … Artificial Intelligence (AI), robotics, and related fields. Given that, historically, automation …

2 天前 - … that are relevant and applicable to Artificial Intelligence/ Machine Learning (AI/ML)
domain. It … to help them plan, design, develop and operate safer automated vehicle systems. …

2 天前 - … This paper explores the integration of machine learning techniques with GPU …
Machine learning algorithms further optimize these processes by automating feature extraction, …

2 天前 - … This intersection explores how artificial intelligence enhances educational experiences
by personalizing learning pathways, automating administrative tasks, and providing data…

2 天前 - … Here the application of Artificial Intelligence for real-time data analysis and deep
automation may bring a breakthrough in collecting information in statistically relevant …

2 天前 - … prioritizing process automation to optimize efficiency and drive sales. One area
where Machine Learning (ML) techniques can be particularly valuable is in automating tasks …

2 天前 - … In medicine, they can contribute to the automation of literature reviews, data
extraction, and hypothesis formulation. However, ethical concerns arise regarding the quality and …

2 天前 - The adoption of connected and automated vehicles (CAVs) has sparked considerable
interest across diverse industries, including public transportation, underground mining, …