Design and development of a direction finding system by Li, Yuejun

“…Direction Finding System (DFS) refers to an antenna system for finding the direction of a radio source using any Direction of Arrival (DOA) estimation algorithms. …”
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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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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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Finding meaning behind immortality of Anne Rice’s vampires. by Nurhayati Zakaria.

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Present status of communication research in Bangladesh : significant findings by Abdur Rahman

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Assessment research: convergences and divergences in theoreticalframeworks, findings and implications by Sims, D, Pienaar, L, Cilliers, F

Status epilepticus in sub-Saharan Africa: new findings by Newton, CR, Kariuki, SM

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

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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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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. …”

Strike a pose: tracking people by finding stylized poses by Ramanan, D, Forsyth, DA, Zisserman, A

“…We develop an algorithm for finding and kinematically tracking multiple people in long sequences. …”

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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