A new study by Queen Mary University of London mathematician Professor Ginestra Bianconi proposes a new perspective on one of ...
The design of modern particle physics detectors can become a strong benchmark for contemporary machine-learning techniques. It offers a realistic large-scale optimization task grounded in ...
Students develop and apply knowledge, understanding and skills relevant to the study of motion, how we describe it and what causes it. The Year 11 course develops students’ knowledge, understanding ...
Christian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Department of Structural and Computational Biology, Max Perutz Laboratories, University of Vienna, Campus Vienna ...
Complex diseases are characterized by enormous metabolic alterations. Network-based approaches can systematically characterize the interconnections of different metabolites. While available approaches ...
Aimed at the hyperspectral image (HSI) classification under the condition of limited samples, this paper designs a joint spectral–spatial classification network based on metric meta-learning. First, ...
Abstract: Encapsulation with soft silicone gel by potting is the standard technology in packaging of automotive power modules with sixpack topology and highest power densities. Large-area potting of ...
All through human civilization, optimization has played a major role, from aerodynamics to airline scheduling, delivery routing, and telecommunications decoding. Optimization is receiving increasing ...
Abstract: MTCA.0 is widely used as the shelf standard to handle up to 30k channels of the General Electronics for Time projection chambers (GET) project. This scalable and reconfigurable data ...
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