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

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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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Peperiksaan bantu bina daya tahan pelajar by Norizan, Yusof

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The challenge of hyper-sexual femininity and binge drinking: A feminist psychoanalytic response by Stepney, M

“…In this article I examine the issue of binge drinking and the presentation of hyper-sexual femininity. …”

Design of pinned and rigid bolted connections using BS 5950:2000 and Eurocode 3 by Xie, Yunshen.

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Surge in SpikeProp algorithm by Zhang, Zhengyang

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Kerjasama Pelbagai Pihak Bina Ketahanan Hadapi Bencana Banjir by Ismail, Mohd Azril

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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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Synaptic element for neuromorphic computing using a magnetic domain wall device with synthetic pinning sites by Jin, Tianli, Gan, Weiliang, Tan, Funan, Sernicola, Nicolo Roberto, Lew, Wen Siang, Piramanayagam, S. N.

“…The domain wall motion was controlled with the use of synthetic pinning sites, which were introduced by boron (B+) ion-implantation for local modification of the magnetic properties. …”
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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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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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RENCANA KEPUSTAKAWANAN : KUMPULAN FOKUS KHAS KEJURUTERAAN DAN SENI BINA / by Nik Masriza Zakaria, editor 607828, Aishahtun Abdul Majid, editor 655435, Azman Abdul Rahim, editor 655436, Kamariah Gono, editor 182892, Rohaida Mohamad Idaris, editor 655437, Engku Norulizati Engku Aziz, editor 655438, Muhamad Faizal Abd Aziz, editor 655439

Tilted magnetisation for domain wall pinning in racetrack memory by Jin, Tianli, Tan, Funan, Ang, Calvin Ching Ian, Gan, Weiliang, Cao, Jiangwei, Lew, Wen Siang, Piramanayagam, S. N.

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'I do not care a pin about it myself' by Honey, A

“…Andrew Honey, Book Conservator at the Bodleian, tells us of his excitement at discovering an original Jane Austen pin on our Sir Charles Grandison manuscript, and what this, and other pins, tell us about their use.…”

Competitive anxiety among university ten-pin bowlers by Tan, Hui Xian

“…Minimal research was done on ten-pin bowling. This study aims to explore the relationship between competitive anxiety and performance in ten-pin bowlers and the role of experience in reducing debilitative anxiety levels. …”
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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

“…Similarly in biological systems, light sensing is used as a tool to process and classify objects. Pattern recognition is used in this simulation of light-sensing. …”
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UMNO perlu bina semula reputasi elak 'menang sorak, kampung tergadai' by Samsi, Abdul Hadi

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