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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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. …"

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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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)

Description of the two custom bacteria odor datasets. حسب Jia Liu (41593)

Specifications of the involved sensors of the custom e-nose. حسب Jia Liu (41593)

Different implementations on MNIST object detection accuracy (%) with input image size. حسب Reyhane Ahmadi (14857363)

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Outline of OSCNN. حسب Reyhane Ahmadi (14857363)

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Gabor filters are created as sine wave filters in four different directions, namely 0, <i>π</i>/2, <i>π</i>, and 3<i>π</i>/4 degrees. حسب Reyhane Ahmadi (14857363)

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OSCNN accuracy with different feature extractors. حسب Reyhane Ahmadi (14857363)

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

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The genome coding scheme. حسب Wenbing Shi (5806160)

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The proportion of different customer categories. 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. …"

Trainable parameters for different algorithms. حسب Anwar Hossain Efat (19942283)