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. …”

Somatosensory and clinical profiles of patients with spine-related and clinical framework-based neck–arm pain by Kapitza, C, Ballenberger, N, Luedtke, K, Schmid, AB, Tampin, B

“…<p>Spine-related neck–arm pain is heterogeneous and may present on a spectrum between nociceptive and neuropathic pain. …”

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

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The design of a rail-to-rail output swing using a nested-current-mirror single-stage amplifier with a high PSRR by Goh, Zhi Xian

“…The project is to design a Nested – Current – Mirror Operational Amplifier with Rail – to – Rail Output swing. The design is with reference to the paper written by Yan, Mak, Laws, Martins and Malobeti (2015), which consist of the basic structure of the Nested – Current – Mirror Operational Amplifier with a single output. …”
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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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Filamentous oligomer structure reconstruction and a new filament picking method for Cryo-EM micrographs by Xu, Chenrui

“…Recognizing the bottleneck step of this process, the filament picking, we developed a rapid and easy-to-use software. …”
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Additive-free electrophoretic deposition of graphene quantum dots thin films by Nguyen, Tam D., Geuli, Ori, Yeo, Loo Pin, Magdassi, Shlomo, Mandler, Daniel, Tok, Alfred Iing Yoong

“…This low-cost and eco-friendly GQD thin film is a promising material for various applications, for example, transparent conductors, supercapacitors and heat conductive films in smart windows.…”
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Design of pinned and rigid bolted connections using BS 5950:2000 and Eurocode 3 by Xie, Yunshen.

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Filmwise condensation of steam on sinusoidal pin fin arrays : effects of fin height and fin pitch by Ho, Jin Yao, Leong, Kai Choong, Wong, Teck Neng

“…An experimental investigation on the use of sinusoidal pin fins to enhance filmwise condensation of steam on vertical plates was carried out. …”
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Properties of thin metal films by Lee, Meng Teck.

“…Lastly, ellipsometer is also use to investigate the dielectric properties of thin films in comparison with the simulation result using COMSOL programme.…”
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Transparent conductive thin film by Sri Jeeva Santhira Seakaran

“…This report will first evaluate two different TCO thin films. These thin films are Gallium-doped Zinc Oxide and Aluminium-doped Zinc Oxide. …”
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Ultra-thin oxide films by Hu, X

“…<p>Oxide ultra-thin film surfaces have properties and structures that are significantly different from the terminations of the corresponding bulk crystals. …”

Robust service restoration of distribution systems towards coordinated parallel network reconstruction and cold load pick-up by Xie, Dunjian, Xu, Yan, Zhang, Cuo

“…This paper proposed a robust service restoration method coordinating parallel network reconstruction and load restoration decisions considering cold load pick-up (CLPU) effects. Firstly, a novel parallel network reconstruction model is proposed, which can simultaneously guarantee the radiality of each subsystem and the feasibility of the restoration sequence. …”
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Effects of lumbar support to reduce discomfort during prolonged riding among motocyclists by Mohd Shafiei, Umi Kalsom

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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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Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

“…The latest developments in the research of spiking neural network models have shown that unlike the classic neural network models, these models communicate via precisely timed neuron spikes, thus making them a closer representation of the biological neurons. …”
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Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits by Zeinolabedin, Seyed Mohammad Ali, Do, Anh Tuan, Yeo, Kiat Seng, Kim, Tony Tae-Hyoung

Subjects: “…Spike…”
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Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

“…This study proposes sequence learning for the fish motion trajectory by using the Spike-Time dependent Plasticity (STDP) in the Spiking Neural Networks (SNNs). …”
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