Algorithm of the brightness scale calibration experiment. by Krzysztof Petelczyc (3954203)

“…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …”

Damping oscillation function (before adding random numbers). by Fujun Wang (96184)

The comparison of TL before and after optimization. by Shangyang Jin (21772466)

The comparison of TL before and after optimization. by Shangyang Jin (21772466)

Comparison of loss function curves before and after improvement. by Xiaozhou Feng (2918222)

Application of the algorithm to unseen data. Presynaptic neurons labelled by rabies viral injection into layer 2/3 primary visual cortex in Penk-Cre mice. by Adam L. Tyson (10892822)

The losses of the training process before and after the optimization of loss function. by Peihan Wen (6324315)

Path comparison before and after smoothing. by Zhenggang Wang (1753657)

Comparison before and after path pruning. by Zhenggang Wang (1753657)

Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. by Jiaxi Wang (545353)

Improved SHA256 algorithm operation diagram. by Su Li (294188)

Comparison of model feature extraction before and after adding SPDConv. by Jia Li (160557)

Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm. by Mahmoudreza Moein (22127153)

The variation process of various loss functions before and after model improvement. by Zhenwei Li (834360)

Accelerated MPC Algorithms and Augmented System Design for Legged Robots by John Ndegwa Nganga (21088838)

“…Further, we extend the mRNEA to robots making contact with the environment, introducing the mRNEA for contacts (mRNEAc). This algorithm enables efficiently computing second-order sensitivities, with results similar to mRNEA approaches before. …”

Comparison of model visualization before and after SPPFCSPC improvement. by Wenyuan Xu (2553028)

The Precision-Recall curve of both the models. by Aastha Vatsyayan (9981916)

“…</p><p>Results</p><p>Using an independent validation dataset of ACMG & AMP classified variants, as well as a patient set of functionally validated variants, we showed how both algorithms perform and can be used to classify large numbers of variants in clinical as well as research settings.…”

Top 10 largest attribute coefficients in the logistic decision function. by Irene Unceta (9596422)

Number of offspring as a function of the number of mismatches for the best couple (blue) and the second-best couple (red) found by APIS parentage assignment. by Julien Roche (611898)

Data quality control before constructing WGCNA. by Guanghao Xin (17583227)