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

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

“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”

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

“…Classification is performed using Support Vector Machines with RBF/Linear kernels and k-Nearest Neighbors algorithms. The model was rigorously evaluated on two benchmark datasets: SMIDS (3000 images, 3-class) and HuSHeM (216 images, 4-class) using 5-fold cross-validation.…”

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

“…Classification is performed using Support Vector Machines with RBF/Linear kernels and k-Nearest Neighbors algorithms. The model was rigorously evaluated on two benchmark datasets: SMIDS (3000 images, 3-class) and HuSHeM (216 images, 4-class) using 5-fold cross-validation.…”

FFT feature extraction. by Zawar Ahmed Khan (22574556)

“…<div><p>This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. …”

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. …”

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. …”

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

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Comparison of facial feature extraction effect. 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)

gcPCA correctly extracts contrastive facial features in the Chicago Face Dataset. by Eliezyer Fermino de Oliveira (20691761)

Pixel ring feature expression. by Guangmei Ma (21432861)

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Feature recognition accuracy testing. by Guangmei Ma (21432861)

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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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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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Algorithm detection performance. by Kangning Li (6069629)

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

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