Samples of Dengue, Chukungunya and Inconclusive converted by the IGTD. حسب Leonides Medeiros Neto (10429179)

Samples of Dengue, Chikungunya and Inconclusive converted by the DeepInsight. حسب Leonides Medeiros Neto (10429179)

Samples of Dengue, Chukungunya, and Inconclusive cases, respectively, converted by the REFINED. حسب Leonides Medeiros Neto (10429179)

Random sample of dataset image with the testing accuracy for every image with different classes. حسب Nour Eldeen Mahmoud Khalifa (19259450)

Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Image_2_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Image_3_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Image_4_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Comprehensive, Open-Source, and Automated Workflow for Multisite λ‑Dynamics in Lead Optimization حسب Renling Hu (17888900)

"…To address this challenge, we developed a comprehensive, open-source, and automated workflow for MSLD calculations based on the BLaDE dynamics engine. This workflow incorporates the Ligand Internal and Cartesian coordinate reconstruction-based alignment algorithm (LIC-align) and an optimized maximum common substructure (MCS) search algorithm to accurately generate MSLD multiple topologies with ideal perturbation patterns. …"

Cuff-less Blood Pressure Measurement based on Four-wavelength PPG Signals حسب Liang yongbo (4822017)

"…<p dir="ltr">Cuff-less Blood Pressure Measurement based on Four-wavelength PPG Signals</p><p dir="ltr">This dataset was collected primarily to explore the role of PPG signals with different wavelengths in the prediction of cuffless blood pressure. …"

Here are the samples prediction of cattle weight using our proposed best 3Conv3Dense model. حسب Md Junayed Hossain (22615268)

Parameter space exploration in comparison to exploitation for the selection of samples during Bayesian Optimization. حسب John E. Fleming (8533956)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. …"

Image processing workflow. حسب Denis Tamiev (7404980)

"…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …"

Simultaneous Estimation of Connectivity and Dimensionality in Samples of Networks حسب Wenlong Jiang (5797223)

"…The method is formulated as a convex optimization problem and solved using an alternating direction method of multipliers algorithm. …"

Iteration diagram of genetic algorithm. حسب Ke Peng (2220973)

"…The results show that: (1) The applied SMOTEENN is more effective than SMOTE and ADASYN in dealing with the imbalance of banking data. (2) The F1 and AUC values of the model improved and optimized by XGBoost using genetic algorithm can reach 90% and 99%, respectively, which are optimal compared to other six machine learning models. …"

Genetic algorithm flow chart. حسب Ke Peng (2220973)

"…The results show that: (1) The applied SMOTEENN is more effective than SMOTE and ADASYN in dealing with the imbalance of banking data. (2) The F1 and AUC values of the model improved and optimized by XGBoost using genetic algorithm can reach 90% and 99%, respectively, which are optimal compared to other six machine learning models. …"

Results of genetic algorithm tuning parameters. حسب Ke Peng (2220973)

"…The results show that: (1) The applied SMOTEENN is more effective than SMOTE and ADASYN in dealing with the imbalance of banking data. (2) The F1 and AUC values of the model improved and optimized by XGBoost using genetic algorithm can reach 90% and 99%, respectively, which are optimal compared to other six machine learning models. …"

Validation of image processing steps and metric results using images of a microfluidic device. حسب Gavrielle R. Untracht (11820311)