On a Chen–Fliess approximation for diffusion functionals by Litterer, C, Oberhauser, H

“…This allows to revisit and generalize the classic stochastic Taylor expansion to arrive at a Chen–Fliess approximation for smooth, path dependent functionals of SDEs with a corresponding L2 -error estimate.…”

Chen Wen Hsi: more than Chinese painting by Lee, Ju-Lyn

“…Chen is also representative of “Nanyang art” and overseas Chinese artists. …”
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Surge in SpikeProp algorithm by Zhang, Zhengyang

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Reactivating and reorganizing activity-silent working memory: two distinct mechanisms underlying pinging the brain by Yang, C, He, X, Cai, Y

“…Recent studies have proposed that visual information in working memory (WM) can be maintained in an activity-silent state and reactivated by task-irrelevant high-contrast visual impulses (“ping”). Although pinging the brain has become a popular tool for exploring activity-silent WM, its underlying mechanisms remain unclear. …”

An investigation of Chen Chong Swee’s practical colour application on selected paintings by Goh, Huiying

“…Formal and content analysis of Chen Chong Swee's paintings, writings and biography are conducted to provide social and cultural contexts behind the creation of these paintings. …”
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Tilted magnetisation for domain wall pinning in racetrack memory by Jin, Tianli, Tan, Funan, Ang, Calvin Ching Ian, Gan, Weiliang, Cao, Jiangwei, Lew, Wen Siang, Piramanayagam, S. N.

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Competitive anxiety among university ten-pin bowlers by Tan, Hui Xian

“…Minimal research was done on ten-pin bowling. This study aims to explore the relationship between competitive anxiety and performance in ten-pin bowlers and the role of experience in reducing debilitative anxiety levels. …”
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'I do not care a pin about it myself' by Honey, A

“…Andrew Honey, Book Conservator at the Bodleian, tells us of his excitement at discovering an original Jane Austen pin on our Sir Charles Grandison manuscript, and what this, and other pins, tell us about their use.…”

A spiking neural network for pattern recognition by Nurin Atikah Bohari

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Robustness to training disturbances in SpikeProp Learning by Shrestha, Sumit Bam, Song, Qing

“…Stability is a key issue during spiking neural network training using SpikeProp. The inherent nonlinearity of Spiking Neuron means that the learning manifold changes abruptly; therefore, we need to carefully choose the learning steps at every instance. …”
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Bio-inspired categorization using event-driven feature extraction and spike-based learning by Zhao, Bo, Chen, Shoushun, Tang, Huajin

“…Bio-inspired, cortex-like, spikebased features are obtained through event-driven convolution and neural competition. The extracted spike feature patterns are then classified by a network of leaky integrate-and-fire (LIF) spiking neurons, in which the weights are trained using tempotron learning rule. …”
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Impact of spike anneal on ultra shallow junction formation by Lai, Chung Woh

“…This report explains the need for ultra shallow junctions for modern day CMOS devices, how spike anneal can help achieve this, reviews the important parameters if this process and how these parameters affect the performances of the CMOS transistors.…”
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Automated spike detection using cascade of simple classifiers by Guo, Jingyao

“…The infinite variety of spike morphologies and the similarity of spikes to normal EEG and artifacts also make the detection of spikes difficult. …”
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Domain wall pinning through nanoscale interfacial Dzyaloshinskii-Moriya interaction by Kumar, Durgesh, Chan, Jianpeng, Piramanayagam, S. N.

“…We have also studied pinning in a device with five successive pinning sites. …”
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Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein by Zhang, Si Min, Liao, Ying, Neo, Tuan Ling, Lu, Yanning, Liu, Ding Xiang, Vahlne, Anders, Tam, James Pingkwan

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Designing a spiking neural network system for object recognition by Thong, Jing Yuan

“…Widely touted as the 3rd generation of neural networks, Spiking Neural Networks were introduced as an enhanced representation of working memory. …”
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Dissipative solitons with extreme spikes in the normal and anomalous dispersion regimes by Akhmediev, N., Soto-Crespo, J. M., Vouzas, Peter, Devine, N., Chang, Wonkeun

“…In this paper, one recent example is considered—dissipative solitons with extreme spikes (DSESs). It was found that DSESs exist in large regions of the parameter space of the complex cubic–quintic Ginzburg–Landau equation. …”
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Bayesian lesion estimation with a structured spike-and-slab prior by Menacher, A, Nichols, T, Holmes, C, Ganjgahi, H

“…Our method also accounts for underestimation of posterior variance due to variational inference by providing an approximate posterior sampling approach based on Bayesian bootstrap ideas and spike-and-slab priors with random shrinkage targets. …”

Filmwise condensation of steam on pin fin arrays fabricated by selective laser melting by Ho, Jin Yao, Leong, Kai Choong

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FPGA implementation of spiking convolutional neural networks for voice keyword recognition by Ng, Wei Soon

“…The spiking convolutional neural network (SCNN) is a hybrid model of both the spiking neural network (SNN) and convolutional neural network (CNN). …”
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