Results 21 to 30 of about 17,207,076 (361)
Sinusoidal Neural Networks: Towards ANN that Learns Faster
If everything is a signal and combination of signals, everything can be represented with Fourier representations. Then, is it possible to represent a signal with a conditional dependency to input data?
Tekin Evrim Ozmermer
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A novel zeroing neural network for dynamic sylvester equation solving and robot trajectory tracking
To solve the theoretical solution of dynamic Sylvester equation (DSE), we use a fast convergence zeroing neural network (ZNN) system to solve the time-varying problem.
Lv Zhao +6 more
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Promotion of physical activity guidelines and behavior change
Physical activity guidelines have been published by governments to increase physical activity at a national level. Such guidelines commonly include behavior change techniques.
Kazuhiro Harada, Yoshio Nakamura
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B cells extract antigens at Arp2/3-generated actin foci interspersed with linear filaments
Antibody production depends on B cell internalization and presentation of antigens to helper T cells. To acquire antigens displayed by antigen-presenting cells, B cells form immune synapses and extract antigens by the mechanical activity of the acto ...
Sophie I Roper +5 more
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Some Intrinsic Properties of Tadmor–Tanner Functions: Related Problems and Possible Applications
In this paper, we study some properties of an exponentially optimal filter proposed by Tadmor and Tanner. More precisely, we consider the problem for approximating the function of rectangular type F(t) by the class of exponential functions σadapt(t ...
Nikolay Kyurkchiev
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In the academic world, ginseng (Panax ginseng C. A. Meyer) has received much attention as the most representative element of Chinese medicine. To address the lack of traditional algorithms in the identification of ginseng appearance quality and further ...
Dongming Li +5 more
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Lightweight Tennis Ball Detection Algorithm Based on Robomaster EP
To address the problems of poor recognition effect, low detection accuracy, many model parameters and computation, complex network structure, and unfavorable portability to embedded devices in traditional tennis ball detection algorithms, this study ...
Yuan Zhao +4 more
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HRF estimation improves sensitivity of fMRI encoding and decoding models [PDF]
Extracting activation patterns from functional Magnetic Resonance Images (fMRI) datasets remains challenging in rapid-event designs due to the inherent delay of blood oxygen level-dependent (BOLD) signal. The general linear model (GLM) allows to estimate
Eickenberg, Michael +3 more
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TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks [PDF]
Lightweight or mobile neural networks used for real-time computer vision tasks contain fewer parameters than normal networks, which lead to a constrained performance. In this work, we proposed a novel activation function named Tanh Exponential Activation
Xinyu Liu, Xiaoguang Di
semanticscholar +1 more source
Rotating machinery has been developed with high complexity and precision, and bearings and gears are crucial components in the machinery system. Deep learning has attracted considerable attention from researchers in this area.
Wei You +5 more
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