Characterization study of multifunctional thin films and electronic devices by Zheng, Ling.

“…In order to study the characterization on the thin film in application Ferroelectric Random Access Memory (FeRAM), ferroelectric capacitor was designed and simulated by using assistant CAD tool (L-Edit). …”
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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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mi dan pasta PILIHAN MAJALAH SAJI : KOLEKSI RESIPI DENGAN GAYA DAN CITA RASA ANDA / by Nur Aishah Ismail 649430

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. …”

Effect of magnetic nanoparticles on the morphology of polystyrene-b-poly(methyl methacrylate) diblock copolymer thin film by Yang, Ping, Wang, Shuchao, Teng, Xue, Wei, Wei, Dravid, Vinayak P., Huang, Ling

“…Increasing the annealing time of the PS-b-PMMA/mNPs nanocomposite thin film causes a similar effect as that of increasing the concentration of mNPs.…”
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Characterization of thin films by filtered cathodic vacuum arc technology by Lau, Daniel Shu Ping, Yu, Siu Fung, Tay, Beng Kang

“…Nanocomposite amorphous carbon (a-C:Me) films including a-C:Ni,a-C:Co,a-C:Ti,a-C:W,a-C:Fe,a-C:Al,anda-C:Si films were deposited using metal-carbon composite target by filtered cathodic vacuum arc (FCVA) technique. …”
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Electrophoretic deposition of reduced graphene oxide thin films for reduction of cross-sectional heat diffusion in glass windows by Yeo, Loo Pin, Nguyen, Tam Duy, Ling, Han, Lee, Ying, Mandler, Daniel, Magdassi, Shlomo, Tok, Alfred Iing Yoong

“…In this work, reduced Graphene Oxide (rGO) thin films of varying thicknesses are fabricated onto Fluorine-doped Tin Oxide (FTO) glass via electrophoretic deposition technique. …”
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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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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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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. …”

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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