Titlebook: Handbuch Transformationsforschung; Raj Kollmorgen,Wolfgang Merkel,Hans-Jürgen Wagener Book 2015 Springer Fachmedien Wiesbaden 2015 Demokra

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Raj Kollmorgent only the right actions must be discovered, but also their start and end times. Recent advances in deep neural networks have pushed forward the action detection capabilities, in particular the I3D network. This paper describes a network with attention, which is based on the I3D features and include

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鎮(zhèn)痛劑

Julian Brücknermage classification, but image defogging is also one of the key aspects, which is still a challenging problem. Due to the harsh combustion environment, the large amount of smoke and dust generated during the combustion process leads to poor visualization of rotary kiln images. To solve its combustio

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Malcolm H. Dunn,Joseph P. Ganahl the potential to contribute to the fight against several lung diseases, including COVID-19. In fact, a chest X-ray is one of the most frequent radiological procedures used to diagnose a variety of lung illnesses. Therefore, deep learning researchers have recommended that deep learning techniques ca

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Binge-Drinking

Frank B?nkerontrol applications. This chapter presents two-step particle filtering approach in a spectro-spatial domain for achieving robust Direction-Of-Arrival (DOA) estimation in noisy environments such as in-vehicle conditions. The particle filter is applied to track the movement of an active speaker while

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Karl-Dieter Oppmary decrement to the residual limb with a prosthesis is the inability to generate powered plantar flexion during the stance phase of gait. Asymmetries in the context of ground reaction force profiles have been demonstrated. Compensatory mechanisms for the can arise, such as amplified work produced