Algorithm detection performance. by Kangning Li (6069629)

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Structure of GRU-CNN feature extraction network. by Qingling Zhang (758713)

Time-frequency feature extraction flowchart. by Minan Tang (20389941)

“…Then, the CPO-CNN classification model is used for feature extraction and feature selection of the time-frequency diagrams and classification of multiple power quality disturbances. …”

Model structure of the Small_obj algorithm. by Kangning Li (6069629)

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Different algorithms for bearing defect detection performance. by Kangning Li (6069629)

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Ablation study on the improved YOLOv5 algorithm. by Kangning Li (6069629)

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Model structural of the improved YOLOv5 algorithm. by Kangning Li (6069629)

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Analysis of corner extraction results. by Guangmei Ma (21432861)

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Average accuracy by feature extraction layer. by Şafak Kılıç (22227019)

“…</p><p>Materials and methods:</p><p>We propose a hybrid architecture integrating ResNet50 backbone with CBAM attention mechanisms, enhanced by a comprehensive deep feature engineering pipeline. The framework incorporates multiple feature extraction layers (CBAM, GAP, GMP, pre-final) combined with 10 distinct feature selection methods including Principal Component Analysis (PCA), Chi-square test, Random Forest importance, variance thresholding, and their intersections. …”

Performance analysis by feature extraction layer. by Şafak Kılıç (22227019)

“…</p><p>Materials and methods:</p><p>We propose a hybrid architecture integrating ResNet50 backbone with CBAM attention mechanisms, enhanced by a comprehensive deep feature engineering pipeline. The framework incorporates multiple feature extraction layers (CBAM, GAP, GMP, pre-final) combined with 10 distinct feature selection methods including Principal Component Analysis (PCA), Chi-square test, Random Forest importance, variance thresholding, and their intersections. …”

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. …”

Feature extraction by HUNet. by Varun Malik (21212874)

“…For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”

Fitness curves for each algorithm. by Minan Tang (20389941)

“…Then, the CPO-CNN classification model is used for feature extraction and feature selection of the time-frequency diagrams and classification of multiple power quality disturbances. …”

Extraction of mesh structure based on smoothing by the opening operation. by Yoshitaka Kimori (7455122)

Face feature extraction results. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Comparison of model performance across multiple runs. by Ebrahim Parcham (20700216)

Algorithm performance in different operational phases. by Dongqing Zhang (423941)

Deep Spectral Clustering (DSC) Algorithm: A convolutional autoencoder (CAE) is trained on input image stack (<i>S</i>) to extract latent feature vectors (<i>LFV</i>). by Creighton M. Lisowski (22756444)

Comparison of the semantic features of the C2f module and SCF module; (a) Semantic feature map for C2f Module; (b) Semantic feature map of the SCF module. by Yazhou Li (277980)

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Pixel ring feature expression. by Guangmei Ma (21432861)

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