Deep MinMax Networks by Lohmiller, Winfried, Gassert, Philipp, Slotine, Jean-Jacques

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Share buy-back scheme in Singapore. by Chow, Qian Yao., Ong, Hwee Ling., Tan, Angela Ee Lin.

“…This paper addresses the legal, accounting and tax aspects of the new share buy-back scheme in Singapore. It also examines the shareholders' and companies' perspectives.…”
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When money can’t buy political love: lab experiments on vote buying in Ghana and Uganda by Burbidge, D, Cheeseman, N, Panin, A

Surge in SpikeProp algorithm by Zhang, Zhengyang

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Buying behaviour in secondhand goods market. by Lee, Chin Yee., Ting, Peck Hoon., Lee, Yuk Cheung.

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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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Cruise ship industry in Singapore – after COVID and beyond impulsive buying behaviour and influential factors in the cruise package industry by Lee, Min Young

“…This study aimed to examine the effects of impulsive buying of cruise customers through impulsive buying tendency. …”
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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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A spiking neural network for pattern recognition by Nurin Atikah Bohari

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ZooInd: location based group buying service. by Lim, Yvonne Wei Ting

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Understanding solar PV through the MinUS-C module grounded in the ADDIE instructional model by Muhamad Kamarul Azman Sulaiman, Lilia Halim, Nurazidawati Mohamad Arsad, Ruhizan Mohamad Yasin

“…This study addresses this gap by developing the MinUS-C (Minecraft Urban Solar Community) learning module, grounded in the ADDIE instructional model, to systematically enhance students’ understanding and readiness for solar PV technology. …”
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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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Beyond “make” or “buy”: evaluating value‐for‐money in public service delivery by Shiva, M, FitzGerald, C, Carter, E, Airoldi, M

“…This study advocates for moving beyond the polarized ‘make or buy’ debate with more instrumental considerations of “how to buy” from the perspective of the public manager.…”

Decomposing value gains – the case of the best leveraged buy-out ever by Austin, N, Phalippou, L

“…The answer might be surprising and shows both the difficulty and pertinence of carefully decomposing the sources of value creation in Leveraged Buy-Outs.…”

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. …”

A New Hyperbox Selection Rule and a Pruning Strategy for the Enhanced Fuzzy Min–Max Neural Network by Mohammed, Mohammed Falah, Chee, Peng Lim

“…In this paper, we extend our previous work on the Enhanced Fuzzy Min–Max (EFMM) neural network by introducing a new hyperbox selection rule and a pruning strategy to reduce network complexity and improve classification performance. …”
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Missing links in The China Model by Li, Chenyang

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