EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"

The effect of different loss functions on our model. حسب Yiyang Shi (16929122)

Loss function and accuracy during training. حسب Shuang Guo (294074)

GA and loss function (Loss_L) parameters are optimized using their search spaces through the hyperparameter tuning. حسب Burcu Ozek (16949357)

Confusion matrix diagram of the original and improved algorithms. حسب Jia Li (160557)

الموضوعات:

QLIKE loss function results for ANN and SVM models. حسب Shusheng Ding (11663294)

The optimal solution set of NYN by using different algorithms. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The optimal solution set of HN by using different algorithms. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Precision metric results and curves and loss values for 40 epoch rounds and loss function transformation curves. حسب Xia Zhao (215170)

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz حسب Faizan Ali (21689861)

الموضوعات:

Prediction of oncogenes (OG), tumor suppressors (TS) and loss of function (LOF) mutations. حسب Oveis Jamialahmadi (6619289)

Effects of activation function on training accuracy and training loss. حسب Xinwu Du (14626908)

Performance comparison of different IoU loss functions. حسب Wenhao Ren (2561731)

Comparison of packet loss quantity. حسب Jianpeng Zhang (528185)

Sub-network model structure in the LMPEC algorithm. حسب Hao Wu (65943)

الموضوعات:

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

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

GD and soft loss function (Loss_S) parameters are optimized through the hyperparameter tuning process within their search spaces. حسب Burcu Ozek (16949357)

Algorithm operation steps. حسب Junyan Wang (4738518)

"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"

Algorithm membership function. حسب Mohamed Raef Smaoui (9865830)

"…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …"