The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
Learn how AI content optimization helps your website get cited by ChatGPT, Perplexity, and Google AI Overviews.
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
In the US, marketing measurement software specialist Slingwave has launched an AI-native marketing attribution and scenario ...
Today at CES, Slingwave unveiled its unified, AI-native platform for growing eCommerce and direct-to-consumer brands that helps marketers make the right spending decisions to grow ...
Mechatronics, high-speed robot design, force- and vision-based machine control, artificial reflexes for autonomous machines, rapid prototyping, agile manufacturing, mobile robotic platforms Marvel, ...
This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China 2 State Key Laboratory of Mountain Bridge and Tunnel Engineering, ...
Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
Abstract: Accurate estimation of remaining useful life (RUL) in aeroengines is essential for improving safety, reducing operational costs, and optimizing maintenance strategies within the aviation ...
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