Comparison of power consumption in optical and silicon-based neural network implementations. حسب Reyhane Ahmadi (14857363)

الموضوعات:

Comparison of results based on CycleGAN method. حسب Xiaojun Wang (50332)

الموضوعات:

Accuracy of different electrical and optical neural networks for various input noise levels. حسب Reyhane Ahmadi (14857363)

الموضوعات:

Processing results and code. حسب Lei Wang (6656)

Dispersion signal in principal and residual space in PCA and KPCA algorithm. حسب Emmanuel Ndongue Esseme (22615091)

Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. حسب Reyhane Ahmadi (14857363)

الموضوعات:

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). حسب Xiaojun Wang (50332)

الموضوعات:

CY45-0.5/1#9 Code file for data processing and prediction results. حسب Yanhua Xian (21417128)

Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm. حسب Emmanuel Ndongue Esseme (22615091)

GA pseudo-code. حسب Jianpeng Zhang (528185)

The specific architecture of the FcaNet-cycleGan style transfer method. حسب Xiaojun Wang (50332)

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Coprime array with interpolated array elements. حسب Chuanxi Xing (20141665)

"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. حسب Tomokaze Shiratori (9635271)

الموضوعات:

A comparison of the absorption coefficients obtained from the current simulation method (FEM) with those obtained by Sharma et al. [13]. حسب Xiaogang Li (299205)

الموضوعات:

Comparison of grayscale conversion algorithms. حسب Tianke Fang (22648035)

Comparison of noise reduction algorithms. حسب Tianke Fang (22648035)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …"

Code and data for the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms" حسب Noelle Madyson Daigle (22120114)

"…<p dir="ltr">Code and data for analysis detailed in the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms." …"

Performance of algorithms outside the training species. حسب Sven B. Gould (12237287)

The source code of LazyAct. حسب Hongjie Zhang (136127)

"…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. Code is available here <a href="https://www.dropbox.com/scl/fo/wyoqo6q9gyt86zobfgbvx/h?…"