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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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 relevant data file for this article. حسب Linsha Liu (20378293)

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

The flowchart of QLDE algorithm. حسب Guanqun Wang (705958)

"…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …"

Flow diagram of proposed methodology. حسب Muhammad Waqar (500788)

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Example user-item voting’s matrix. حسب Muhammad Waqar (500788)

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Binary form of Table 1. حسب Muhammad Waqar (500788)

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Competitor methods results on FilmTrust dataset. حسب Muhammad Waqar (500788)

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Cantor-diagonal traversal of 6×6 grid. حسب Muhammad Waqar (500788)

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Evaluation metrics with SARSA on ML-latest-small. حسب Muhammad Waqar (500788)

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Competitor methods results on ML-100K dataset. حسب Muhammad Waqar (500788)

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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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Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

Relevant computed image data. حسب Zhaoyu Ku (20660546)

Schematic diagram of <i>K</i>-means algorithm. حسب Guanqun Wang (705958)

"…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …"

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

Component connection topology of LSTM. حسب Riaz Ud Din (21101290)