In order to better reflect the characteristics of SNNs in the reinforcement learning environments, we construct our spiking Q networks as same as the DQN architecture shown in Figure 2. Three-layers ...

A critical procedure in diagnosing atrial fibrillation is the creation of electro-anatomic activation maps. Current methods generate these mappings from interpolation using a few sparse data points ...

config_frequentist.py: Hyperparameters for main_frequentist file. @article{shridhar2019comprehensive, title={A comprehensive guide to bayesian convolutional neural network with variational inference}, ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=34 ...

predictive analytics and orchestration – has the advantage of making network architecture more proactive and dynamic. AIOps and automation solutions may simplify ongoing network operations ...

This technical specification describes architectural principles and overall architecture for public networks in the year 2030 and beyond It also elaborates on the details of access/edge architecture, ...

This repository is the code release of the paper "DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection". Pattern Recognition. ICPR 2024. We design a dual-enhancement-based ...

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Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

Nvidia Investors Seek Cover After Years of YOLO Rally Chasing Traders seek protection ahead of earnings, AI conference Shares had biggest weekly drop since 2022 after DeepSeek news ...

This amendment contains both new material and Amendment 1 material. As such it replaces Amendment 1 Superseded ...