Risk element category diagram. حسب Yao Hu (3479972)

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

CycleGAN cycle consistency. حسب Xiaojun Wang (50332)

"…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …"

Algorithm testing. حسب Ziad M. Ali (12516532)

الموضوعات:

TB screening and diagnostic algorithm. حسب Arangba S (21656068)

Schematic diagram of the experimental algorithm. حسب Ronghua Meng (20978441)

الموضوعات:

Convergence curves of the investigated algorithms. حسب Ziad M. Ali (12516532)

الموضوعات:

Phenotype frequencies for each mutant and for complementation testing. حسب McKenna Feltes (11242085)

Accuracy and average dots covered for difficulty level 11 using gradient descent to find the optimal solution. حسب Tarun Khajuria (12117309)

Phenotype frequency and complementation for additional novel DY alleles. حسب McKenna Feltes (11242085)

M3C2 algorithm diagram. حسب Xiaowei Li (620087)

الموضوعات:

Comparison of ablation study. The deep model which consists of MOCOA-VMD and attention scheme achieves the best accuracy. حسب Hang Zhao (143592)

Overview of different metaheuristic algorithms used in PV parameter estimation and their corresponding full names and acronyms. حسب Ziad M. Ali (12516532)

الموضوعات:

Signal strength of adverse events that are unexpected findings of Relugolix (Orgovyx^®)-related adverse events at the preferred term (PT) level. حسب Ruibo Li (2063167)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. حسب Borjan Milinkovic (21349908)

Clinical use algorithm. حسب Chibuike K. Uwakwe (22655742)

Filtered Labels after applying the data preparation algorithms. حسب Tanjim Taharat Aurpa (11250554)

Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf حسب Thiago Fellipe Ortiz de Camargo (19460818)

"…</p>Results<p>In the internal validation, the Lung Abnormality and Tuberculosis models achieved an AUC of 0.94, while the Radiological Findings model yielded a mean AUC of 0.84. During the external validation, utilizing the ground truth generated by board-certified thoracic radiologists, the algorithm achieved better sensitivity in 6 out of 11 classes than physicians with varying experience levels. …"

Dataset state after applying our data preparation algorithm. حسب Tanjim Taharat Aurpa (11250554)

Summary of major algorithms used for signal detection. حسب Feilong Tan (14886395)