航海太平洋
发表于 2025-3-25 05:54:50
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粉笔
发表于 2025-3-25 08:47:39
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epicondylitis
发表于 2025-3-25 14:24:37
Filter Based Approach for Automated Detection of Candidate Lung Nodules in 3D Computed Tomography Ims most fatal. Lung cancer appears in the form of nodules and is caused by anomalous growth of cells in the lung organ. Though detecting and diagnosing lung cancer at the early stages can enhance the survival rate, there are still numerous challenges. Computer Aided Diagnosis (CAD) systems which make
somnambulism
发表于 2025-3-25 18:38:51
Theoretical Approaches to the Effect of Wall Compliance on Turbulent Flowtween wall-generated turbulence and compliant surface coatings. We are pursuing an integrated approach using analysis, direct numerical simulation and low-dimensional modeling, with a view towards the reduction of turbulent sound production and turbulent drag. Numerical simulations are performed in
善于骗人
发表于 2025-3-25 21:20:03
Performance Evaluation input to the evaluation process, but not the only source for information. Performance evaluation is an active process where the main purpose is to identify areas for improvement. Even if the measurement system is improved and diagnostic and competence measures are adapted, the system will still fai
cajole
发表于 2025-3-26 03:43:45
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Protein
发表于 2025-3-26 05:19:57
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BOLT
发表于 2025-3-26 11:42:32
Non-asymptotic Error Estimates for Monte Carlo Methods., ., versions of the Central Limit Theorem (CLT) are developed: Berry–Esseen’s and Bikelis’ theorems, as well as concentration inequalities obtained from logarithmic Sobolev inequalities. The difficult subject of variance reduction techniques for Monte Carlo methods arises naturally in this context, and is discussed at the end of this chapter.
sperse
发表于 2025-3-26 14:19:17
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Ophthalmologist
发表于 2025-3-26 19:54:47
A Comparative Study of Microblogs Features Effectiveness for the Identification of Prominent Microblce. The achieved results show that on- and off-topical user activities features are the most representative features for identifying prominent users in a disaster context. We also note that SVM outperforms the ANN learning algorithm for this classification context especially when it is trained with additional spatial features.