Comparison of noise reduction algorithms. by Tianke Fang (22648035)

Is There a Universal Dimensionality Reduction Technique for Feature Extraction? – A Comparative Analysis by Anandkumar Balasubramaniam (22474380)

“…<p>The demand for high-dimensional data processing in machine learning has led to the increasing use of dimensionality reduction techniques. These techniques aim to extract the most important information from high-dimensional data, reducing it to a lower-dimensional representation that can be easily processed by machine learning algorithms. …”

The analysis of feature importance. by Wenbing Shi (5806160)

“…This paper proposes a CGO risk prediction method based on data augmentation and a neuroevolution algorithm, denoted as ANEAT. First, sample features are applied to the transfer function using a pointwise intensity transformation to obtain new feature samples. …”

FFT feature extraction. by Zawar Ahmed Khan (22574556)

“…Through Fast Fourier Transform (FFT) techniques, the frequency domain information were extracted, which is key for current signals, adding to the feature set. In addition, dimensionality reduction with Principal Component Analysis (PCA) and feature selection was done with SelectKBest. …”

Feature extraction by HUNet. by Varun Malik (21212874)

“…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”

The entropy distribution and entropy extreme value diagram of impeller outlet under the highest efficiency condition before and after optimization. by Ning Yu (358970)

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The static pressure distribution of the main blade at 90% blade height under the highest efficiency condition before and after optimization. by Ning Yu (358970)

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Pareto optimal solution set diagram. by Ning Yu (358970)

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The relationship between fitted values and calculated values, along with the error plot. by Ning Yu (358970)

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Optimize the variable name and level range table. by Ning Yu (358970)

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NSGA-III basic framework diagram. by Ning Yu (358970)

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Optimized Latin hypercube test scheme table. by Ning Yu (358970)

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Main parameters table of prototype centrifugal compressor. by Ning Yu (358970)

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The entropy distribution and entropy extreme value diagram of impeller meridian channel under the highest efficiency condition before and after optimization. by Ning Yu (358970)

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Comparison of multi-speed characteristic curves of centrifugal compressor before and after optimization. by Ning Yu (358970)

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Three-dimensional model diagram. by Ning Yu (358970)

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Grid independence verification diagram and comparison diagram of simulation data and experimental data results. by Ning Yu (358970)

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The schematic diagram of key geometric parameters for impeller meridian line structure optimization. by Ning Yu (358970)

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The influence diagram of single factor change of optimization variables on optimization objectives & Variable extreme sensitivity distribution map. by Ning Yu (358970)

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Verification scheme table. by Ning Yu (358970)

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