Network structure diagram of LMD-YOLO algorithm. by Weiyu Han (3448742)

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Network structure diagram of YOLOv8 algorithm. by Weiyu Han (3448742)

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Siou loss function calculation diagram. by Weiyu Han (3448742)

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Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. by Sebastian Goldt (14522594)

“…<p>We plot the mse per pattern obtained by the AMP algorithm, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">Eq (32)</a>, as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>), for random (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e044" target="_blank">15</a>) and informed (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e045" target="_blank">16</a>) initialisations. …”

Functional PCA With Covariate-Dependent Mean and Covariance Structure by Fei Ding (134577)

“…<p>Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive performance. …”

Loss functions between PCA-DNN model and PCA-LSTM model. by Cihun-Siyong Alex Gong (11874066)

PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. by Gursimran Singh (575288)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

General idea of alternative structures of aptamers binding the same ligand and its specific implementation scheme for the BioRS function. by Alexander V. Spirov (11302085)

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Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

Testing function diagram of QIMPN-PCA-DC. by Jun Zhao (59250)

The loss function of network structures, LPC-DNN, LPC-PCA-DNN, LPC-LSTM, LPC-PCA-LSTM, MFCC-DNN, MFCC-PCA-DNN, MFCC-LSTM and MFCC-PCA-LSTM, as the epoch increases. by Cihun-Siyong Alex Gong (11874066)

Functional module diagram. by Fan Hongxia (21029673)

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Adding a new function module. by Yukako Yamane (9034133)

<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

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

The structure of the proposed algorithm. by Mingbao Yang (14008799)

Integration of the simulation module with the optimization module. by Ludovica Adacher (11238189)