Crossing the line : harassed on the web by Thor, Venessa Xing Ying, Yee, Wendy Shu Yan

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Gaseous cavitation in transmission line by Yeo, Wei Jian

“…A comprehensive study on gaseous cavitation in transmission lines will be presented. A model will be developed to simulate and forecast the effect of cavitation. …”
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Press freedom : drawing the line by Santos, Vergel O.

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Case Volume Justification of 3D-Navigated Spinal Procedures: A Cost-Benefit Analysis by Suri, Ikaasa, Suri, Mehr, Hu, James, Dedhia, Siddarth K., Yaeger, Kurt

“…Abstract 3D image-guidance platforms have transformed spinal surgery by enhancing visualization, increasing precision, and improving patient outcomes. …”
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AB078. Patterns of treatment delay in patients with symptomatic metastatic epidural spinal cord compression by Hui, Si Jian, Kumar, Naresh, Tan, Cherie Lin Hui, Chua, Eugene Khye Gin, Hallinan, James Thomas Patrick Decourcy, Chan, Yiong Huak, Sree, Karuna, Tan, Jiong Hao

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Study the effects of annulus fibrosus deficiency on spinal deformity using T7-T9 finite element model by Candy Sarah George

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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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Red blood cell extracellular vesicles incorporated into 3D printed scaffolds for spinal cord injury regeneration by Huang, Chongquan, Jayasinghe, Migara Kavishka, Lau, Kieran, Thi Nguyet Minh Le, Chew, Sing Yian

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Line inductance stability operation domain assessment for weak grids with multiple constant power loads by Wang, Rui, Sun, Qiuye, Ma, Dazhong, Qin, Dehao, Gui, Yonghao, Wang, Peng

“…Based on this, the conventional impedance-based stability operation point assessment approaches should be expanded into stability domain assessment approach considering the line inductance variation. Therefore, the stability-oriented line inductance stability domain assessment approach for weak grids with CPLs is proposed in this paper. …”
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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

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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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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