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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Finding bugs inside IoT devices via static analysis by Lim, Gerald Ze Yang

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Direction finding for UWB RFID system in dense cluttered environments by Luo, Yanjia

“…Source direction finding with an antenna array is a major topic in radar-related applications. …”
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Finding common ground on the threshold: an experiment in critical urban learning by Cognetti, Francesca, De Carli, Beatrice

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Finding large additive and multiplicative Sidon sets in sets of integers by Jing, Y, Mudgal, A

The computational complexity of finding stationary points in non-convex optimization by Hollender, A, Zampetakis, M

“…<p>Finding approximate stationary points, i.e., points where the gradient is approximately zero, of non-convex but smooth objective functions f over unrestricted d-dimensional domains is one of the most fundamental problems in classical non-convex optimization. …”

Long-wave-instability-induced pattern formation in an evaporating sessile or pendent liquid layer by Wei, Tao, Duan, Fei

Subjects: “…Long-wave…”
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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 control of the domain wall motion with the synthetic pinning sites is demonstrated to be a reliable technique for neuromorphic applications.…”
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The natively disordered loop of Bcl-2 undergoes phosphorylation-dependent conformational change and interacts with Pin1 by Bharatham, Nagakumar, Chia, Joel, Mu, Yuguang, Baek, Kwanghee, Yoon, Ho Sup, Kang, CongBao

“…Finally, we show that the phosphorylated peptides of the Bcl-2 loop can bind Pin1, further substantiating the phosphorylation-mediated conformation change of Bcl-2.…”
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Annotated bacterial chromosomes from frame-shift-corrected long-read metagenomic data by Arumugam, Krithika, Bağcı, Caner, Bessarab, Irina, Beier, Sina, Buchfink, Benjamin, Górska, Anna, Qiu, Guanglei, Huson, Daniel H., Williams, Rohan B. H.

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Long-term care for rehabilitation in Malaysia / by Mazlynda Md Yusuf, author 655502, Rose Irnawaty Ibrahim, author 655503, Waidah Ismail, author 632991

Subjects: “…Long-term care of the sick…”

Long-range predictive control and applications by Zhu, Kuanyi.

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E-portal for life long learning by Chew, Adam Beng Aik

“…Life Long Learning is an online portal meant to bridge the informational gap between the everyday individuals seeking to pick up a new skill or hobby, and the course providers ranging from well-established corporations and government agencies to the small businesses hidden in our heartlands. …”
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Public goods in the short and long term by Trammell, P

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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