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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Investigating Factors Influencing Consumer Willingness to Buy GM Food and Nano-food by Yue, Chengyan, Zhao, Shuoli, Cummings, Christopher, Kuzma, Jennifer

“…As such, it is important to understand the factors that influence consumer desires for labeling and their willingness-to-buy (WTB) these food products. Using data from a national survey with US consumers, this study employs structural equation modeling to explore relationships between potential influences such as trust in government to manage technologies, views on restrictive government policies, perceptions about risks and benefits, and preferences for labeling on consumer’s WTB genetically modified (GM) and nano-food products. …”
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Dok3 restrains neutrophil production of calprotectin during TLR4 sensing of SARS-CoV-2 spike protein by Loh, Jia Tong, Teo, Joey Kay Hui, Lam, Kong-Peng

“…In this study, we showed that Dok3 adaptor restrains calprotectin production by neutrophils in response to SARS-CoV-2 spike (S) protein engagement of TLR4. Dok3 recruits SHP-2 to mediate the de-phosphorylation of MyD88 at Y257, thereby attenuating downstream JAK2-STAT3 signaling and calprotectin production. …”
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"You know, what is overspending" : working with compulsive buying : a critical discursive account by Parnes, Harriette Sophie

“…Background There is increasing research into compulsive buying (CB), much of which has focussed on its aetiology, epidemiology and treatments from a positivistic and quantitative viewpoint. …”
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Unveiling the enigma of blind box impulse buying curiosity: the moderating role of price consciousness by Gong, Xiyun, Yee, Choy Leong, Lee, Shin Yiing, Mohammad Saif, Abu Naser, Liu, Meilian, Anonthi, Fariah

“…This study explores the causes of curiosity-driven impulse buying in blind boxes using the Stimulus-Organism-Response (S-O-R) model and adaptation level theory. …”
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Learning to Ask Like a Physician by Lehman, Eric(Computer scientist)

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Drag reduction in fish-like locomotion by Barrett, D.S., Triantafyllou, M.S., Yue, D.K.P., Grosenbaugh, M.A., Wolfgang, M.J.

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Butterfly-like micro air vehicle by Yang, Xiaobin

“…Little attention received for butterfly-like micro air vehicle(MAV). In this report, the objective of the project is to develop a power forward flight butterfly-like micro air vehicle with a tail to control the pitch angle. …”
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Regulation and function of innate-like T cells by Hagel, JP

“…It is expressed by NK- and T-cell subsets, particularly by innate-like T cells such as MAIT and γδT cells. CD161-expressing T-cell subsets share a transcriptional and functional phenotype, including the ability to be activated by cytokines in a T-cell receptor-independent manner, similar to NK cells. …”

The impact of perceived channel utilities and shopping orientations on Singapore Internet users' online buying behavior. by Montano Elisa Masil., Ng, Kwee Hiong., Seah, Su Wei.

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Buying influence? The international diplomacy behind donor financing of the World Bank’s International Development Association by Xu, J

Buying and selling forest carbon as a commodity is dangerous if it trumps other environmental and social uses by McDermott, C, Kumeh Mensah, E, Mark, H

“…These days, companies can buy “carbon credits” for the carbon that is stored in living forests and offset this against their own greenhouse gas emissions. …”

An Analysis of the Effect of Price and Quality on Customer Buying Patterns: An Empirical Study of iPhone Buyers by Hamizan, Maisarah, Abu, Noor Hidayah, Mansor, Mohd Fitri, Zaidi, Mohd Azian

“…Findings revealed that price and quality have a significant effect on the buying pattern of an iPhone. Lastly, this study discusses the limitations of the study and its conclusion…”
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Bio-inspired categorization using event-driven feature extraction and spike-based learning by Zhao, Bo, Chen, Shoushun, Tang, Huajin

“…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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Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks / by Farezdzuan Roslan, 1992-, author 616568, Haza Nuzly Abdull Hamed, supervisor 308916, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks / by Farezdzuan Roslan, 1992-, author 616568

EEG data handling using AWS cloud computing for automatic spike detection in epilepsy patients by Rajput Kalpana Bharatsingh

“…In this work, we explore the feasibility of AWS-cloud based approach for handling large EEG data for automatic spike detection in epilepsy patients. The aim is to design a system which will allow neurologists to upload and download EEG data from any region for analysis purpose; in the future the data will be analysed by machine learning algorithms. …”
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