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. …”

Performance improvements of microchannel heat sink using wavy channel and nanofluids by Sakanova, Assel, Keian, Chan Chun, Zhao, Jiyun

“…To improve the heat transfer performances of microchannel heat sink (MCHS), the advanced channel structures and working fluids can be applied. …”
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Performance Evaluation of Electrode Fabricated by using FDM in DieSinking EDM by Kit, Fong Mun, Ng Yang Zu, Nicolas, Abdul Haq, Reazul Haq, Manshoor, Bukhari, Abdul Ghafir, Mohammad Fahmi, Marwah, Omar Mohd Faizan, Hoffmann, Jörg

“…This research aims to verify the application of the FDM electrode in die-sinking EDM. Furthermore, the metallization and the machining performance of the FDM electrode were also studied. …”
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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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Fabrication of heat sinks by Selective Laser Melting for convective heat transfer applications by Wong, Kin Keong, Ho, Jin Yao, Leong, Kai Choong, Wong, Teck Neng

“…Three heat sinks comprising pin fins of circular, rectangular-rounded and aerofoil geometries were fabricated by SLM from aluminium alloy AlSi10Mg powder. …”
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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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Convective heat transfer performance of airfoil heat sinks fabricated by selective laser melting by Ho, Jin Yao, Wong, Kin Keong, Leong, Kai Choong, Wong, Teck Neng

Subjects: “…Heat sink…”
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Design and investigation of air-cooled heat sinks using 3D printing technology by Lim, Ming Chong

“…This study presents the heat transfer performance of five pin fin heat sinks that have been fabricated using Selective Laser Melting. …”
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Fluid flow and thermal performance enhancement in microchannel heat sink with multiple passive methods / by Siti Aisyah Razali, 1987-, author 648807, Nor Azwadi Che Sidik, 1977-, supervisor 612329, Fakulti Kejuruteraan. Sekolah Kejuruteraan Mekanikal 619080

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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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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Thermohydraulic performance of MXene-based nanofluid in a microchannel heat sink: effect of volume fraction by Mat, Mohamad Nur Hidayat, Radzie, Nabil Rusydan Nasa, Saidur, Rahman

“…This study investigates the application of MXene-based nanofluids across varying concentrations in microchannel heat sinks to enhance electronic cooling performance. …”

Two-phase immersion cooling for power dense printed circuit board converters by Ristic-Smith, A

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