Robust service restoration of distribution systems towards coordinated parallel network reconstruction and cold load pick-up by Xie, Dunjian, Xu, Yan, Zhang, Cuo

“…This paper proposed a robust service restoration method coordinating parallel network reconstruction and load restoration decisions considering cold load pick-up (CLPU) effects. Firstly, a novel parallel network reconstruction model is proposed, which can simultaneously guarantee the radiality of each subsystem and the feasibility of the restoration sequence. …”
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A parallel dipole line system by Gunawan, Oki, Virgus, Yudistira, Tai, Kong Fai

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Automatic electric reel line winder by Yong, Chuan Kian

“…The project also involved the setting up of an automatic electric reel line winder that is use for winding a line on a spool or a reel with a rotatable handle. …”
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Servo valve-line hydraulic system by Ong, Jia Xian.

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Automatic line matching across views by Schmid, C, Zisserman, A

“…The paper presents a new method for matching individual line segments between images. The method uses both grey-level information and the multiple view geometric relations between the images. …”

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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OSPC: Multimodal Harmful Content Detection using Fine-tuned Language Models by Cai, Bill

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ChromaFusionNet (CFNet): natural fusion of fine-grained color editing by Wang, Yuxi

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Statistical analysis of fine particle resuspension from rough surfaces by turbulent flows by You, Siming, Wan, Man Pun

Subjects: “…Fine Particles…”
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Tunable surface-plasmon-polariton filter constructed by corrugated metallic line and high permittivity material by Luo, Jiang, He, Jin, Apriyana, Alit, Feng, Guangyin, Huang, Qijun, Zhang, Yue Ping

“…The tuning is done by embedding a high permittivity BST dielectric block into the gap of SPP transmission line (T-line). An obvious transmission dip at the certain frequency is observed due to Fabry-Pérot interference. …”
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On-line shape measurement using micro-optics by Li, Chongxiang

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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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Laplacian lines for real-time shape illustration by Zhao, Yuan

“…In this project, the feature lines are found by object-space line drawing algorithm that can generate Laplacian lines based on the view point in real time. …”
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Equiangular lines in low dimensional Euclidean spaces by Greaves, Gary Royden Watson, Syatriadi, Jeven, Yatsyna, Pavlo

“…We show that the maximum cardinality of an equiangular line system in 14 and 16 dimensions is 28 and 40, respectively, thereby solving a longstanding open problem. …”
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