Comparison of optical and silicon-based neural network implementations. حسب Reyhane Ahmadi (14857363)

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Comparison of power consumption in optical and silicon-based neural network implementations. حسب Reyhane Ahmadi (14857363)

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Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Accuracy of different electrical and optical neural networks for various input noise levels. حسب Reyhane Ahmadi (14857363)

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Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. حسب Reyhane Ahmadi (14857363)

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The main components and data flow of the proposed algorithm. حسب Raed Alharthi (18340157)

Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. حسب Daniel Suárez-Barrera (22676654)

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Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. حسب Daniel Suárez-Barrera (22676654)

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Data and code resources. حسب Sam Hall-McMaster (10343795)

The material characteristics of the components. حسب Shangyang Jin (21772466)

Mapping between textual description and Algorithm 1 components. حسب Adel Alshamrani (22022154)

Face recognition algorithm flow based on the PCA. حسب Na Lin (69470)

Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. حسب Daniel Suárez-Barrera (22676654)

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Flowchart of cross-domain correspondence intensity modulation algorithm. حسب Lei Wu (202933)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

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Fault diagnosis model based on Kepler algorithm and attention mechanism. حسب Yu Jie Guang (22184340)

Components details. حسب Yongan Feng (7345193)

The genome coding scheme. حسب Wenbing Shi (5806160)

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Pseudo code. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

The simulation of OSCNN involves loading data from a laser and SLM and simulating different optical free space components. حسب Reyhane Ahmadi (14857363)

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