召唤
发表于 2025-3-21 19:48:05
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拍下盗公款
发表于 2025-3-21 20:25:50
Pattern of Lung Injury in CT/HRCT Using Deep Learning Techniques,ormance metrics with lower standard deviations over the test dataset. A possible future enhancement in this area could be the introduction of an ensemble architecture for classification which has the capability to process 3D images.
椭圆
发表于 2025-3-22 02:52:21
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COKE
发表于 2025-3-22 05:40:44
Time Domain Specifications of Step Responses of Both Underdamped and Overdamped Systems: In Correctn a fixed value of 1(like . function), the algorithm addresses the flawed settling time calculations for both underdamped and overdamped systems. To check and compare the performance of the proposed algorithm, one overdamped system and two underdamped systems: one having some steady state error and
intolerance
发表于 2025-3-22 10:13:29
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高尔夫
发表于 2025-3-22 16:30:34
A Study on DL for Pulmonary Embolism Prediction Harnessing Multimodal Data,ng DL-based multimodal early fusion features from Computed Tomography of Pulmonary Angiography (CTPA) images and six Electronic Medical Record (EMR) modalities are concatenated at the input level. The performance of the six DL models using the RadFusion dataset, a manually labeled and processed data
高尔夫
发表于 2025-3-22 18:19:06
Performance Analysis of Machine Learning Algorithms Using Information Theoretic Class Based Multi-cheoretic dependent FSA. For our study, we considered twelve different machine learning algorithms for comparison using metrics such as accuracy, precision, recall and ROC-AUC curve. Results show a significant increase in accuracy of all the machine learning algorithms that are considered.
CARK
发表于 2025-3-23 01:15:50
The Failure Recovery Management Framelet,ers and a performance assessment matrix are used to evaluate the quality of our model. All the features of the dataset and a subset of them were used to test the work that was suggested. Reducing the number of features influences the evaluation matrix and accuracy of algorithms. Utilizing a UCI set
争吵加
发表于 2025-3-23 01:41:23
Lecture Notes in Computer Scienceormance metrics with lower standard deviations over the test dataset. A possible future enhancement in this area could be the introduction of an ensemble architecture for classification which has the capability to process 3D images.
motivate
发表于 2025-3-23 06:42:46
https://doi.org/10.1007/978-3-319-11245-9 (SVM), and Stochastic Gradient Descent (SGD) have been implemented on the thermal images for the classification of control and CVI subjects. The prediction performance of these ML models is assessed using evaluation measures such as accuracy, sensitivity, specificity, precision, F1 score, and AUC.