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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Non-uniform heat transfer suppression to enhance PCM melting by angled fins by Ji, Chenzhen, Qin, Zhen, Low, Zhenghua, Dubey, Swapnil, Choo, Fook Hoong, Duan, Fei

“…The fin length shows the significant influence on the PCM melting with the tilted fins. …”
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Heat transfer of 3-D printed enhanced tube and fin condenser surfaces by Choke, Chong Wai

“…Seven condenser coils with three different fin designs (plate fin, louvre fin and slit fin) and three different fin pitches (2.4 mm, 3.3 mm and 4.2 mm) were fabricated and a miniature wind tunnel was designed and constructed to perform experimental investigation on these condenser coils. …”
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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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Heat transfer performance in the longitudinal corrugated fin and oval tube compact heat exchangers / by Ahmadali Gholami, 1976-, author 614844, Mazlan Abdul Wahid, supervisor 610961, Fakulti Kejuruteraan Mekanikal 8081

3D measurement of movements of fish fins using high-speed cameras-I by Tan, John Wei You

“…This report will show the movement of the pectoral fins on the boxfish and how it is able to utilise its fins to propel itself through the water and to navigate through tight spaces efficiently despite of its bulky body structure. …”
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Heat transfer performance in the longitudinal corrugated fin and oval tube compact heat exchangers by Gholami, Ahmadali

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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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Slit-Robo signalling establishes a sphingosine-1-phosphate gradient to polarise fin mesenchyme by Mahabaleshwar, Harsha, Asharani, P. V., Loo, Tricia Yi, Koh, Shze Yung, Pitman, Melissa R., Kwok, Samuel, Ma, Jiajia, Hu, Bo, Lin, Fang, Li Lok, Xue, Pitson, Stuart M., Saunders, Timothy E., Carney, Tom J.

“…Immigration of mesenchymal cells into the growing fin and limb buds drives distal outgrowth, with subsequent tensile forces between these cells essential for fin and limb morphogenesis. …”
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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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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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Meneroka masa depan FinTech dengan Ijazah Sarjana Muda Teknologi Kewangan di UMPSA by Irene, Wei Kiong Ting, Norwazli, Abdul Wahab

“…Landskap teknologi kewangan (FinTech) sedang berkembang pada kadar yang luar biasa, didorong oleh kemajuan revolusioner dalam kecerdasan buatan (artificial intelligence), blockchain, big data, dan kewangan digital. …”
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Optimal dietary lipid requirement of hybrid lemon fin barb (Barbonymus gonionotus ♀× Hypsibarbus wetmorei ♂) larvae by Weerasingha, Rochana, Kamarudin, Mohd Salleh, Abd Karim, Murni Marlina, Ismail, Mohammad Fadhil Syukri

“…Hybrid lemon fin barb is a crossed product between silver barb (Barbonymus gonionotus) and lemon fin barb (Hypsibarbus wetmorei). …”

Mechanism of charge transfer and its impacts on Fermi-level pinning for gas molecules adsorbed on monolayer WS2 by Zhou, Changjie, Yang, Weihuang, Zhu, Huili

“…The phenomenon of Fermi-level pinning was discussed in light of the traditional and orbital mixing charge transfer theories. …”
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