Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: Accurate, quick forecasting of petroleum production data in short-term scenarios is a complex challenge that requires the development of reliable predictive models. Traditionally, engineers ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.
However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...
The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...
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