Depending on who you listen to, AI will cause widespread disruption and unemployment, especially at starting and lower middle ...
A new radar imaging method could make ground deformation monitoring denser, cleaner, and more reliable across complex ...
Abstract: Forest height is crucial for resource surveys, its estimation holds significant importance. To date, existing forest height inversion models and methods primarily focus on tropical ...
In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
Weighing up arguments, drawing logical conclusions and deriving a clearly correct answer—such tasks have so far presented ...
A severe Android intent‑redirection vulnerability in a widely deployed SDK exposed sensitive user data across millions of ...
In a world first, the team, led by Professor Stephen Liddle, discovered a new type of aromatic molecule made entirely of ...
The Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) is funding a further 15 Emmy Noether Groups in the field of “Methods in Artificial Intelligence”. This was decided by the DFG’s ...
Background: Ankle sprains are the most common form of acute injury in volleyball. A prevention programme consisting of technical training, proprioceptive training, and external support was previously ...
Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: An unsupervised deep learning framework is proposed for solving 2-D electromagnetic inverse scattering problems (ISPs) with either full- or phaseless-data (PD), featuring good accuracy, ...
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