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21#
發(fā)表于 2025-3-25 06:50:11 | 只看該作者
22#
發(fā)表于 2025-3-25 09:41:26 | 只看該作者
23#
發(fā)表于 2025-3-25 14:55:45 | 只看該作者
Diseases of the Colon and Rectum: CT Colonographyn the USA [1]. The benign precursor, adenoma, can be detected by several different imaging techniques and removal can prevent malignant transformation. The approximately 10-year polyp dwell time allows ample opportunity for patients to be screened and polyps detected and removed. Potentially, under
24#
發(fā)表于 2025-3-25 16:22:40 | 只看該作者
An Extended Method for Finding Related Web Pages with Focused Crawling Techniquesues..One of the successful methods for finding related web pages is Kleinberg’s HITS algorithm, and this method determines web pages which are related to a set of given web pages by calculating the hub and authority scores. Although this method is effective for extracting fine related web pages, it
25#
發(fā)表于 2025-3-25 20:09:43 | 只看該作者
Protein Structure Refinement using Residual Dipolar Couplingscules lacking sufficient magnetic susceptibility anisotropies themselves comprise dilute aqueous phospholipid bicelles, colloidal suspensions of rod-shaped viruses and lamellar phases of quasiternary surfactant systems. The magnitude of the residual dipolar couplings depends upon the degree of order
26#
發(fā)表于 2025-3-26 00:45:18 | 只看該作者
27#
發(fā)表于 2025-3-26 06:09:29 | 只看該作者
Helcio R. B. Orlande,Olivier Fudymt challenges (without the hints), as more routine problems (with the hints), or as a textbook on “how to solve it” (when the solutions are read). Of course it is our hope that the book can be enjoyed on any of these three levels.
28#
發(fā)表于 2025-3-26 11:52:37 | 只看該作者
Hidden Markov Models for Recognition Using Artificial Neural Networksused the Hidden Markov Model Toolkit v3.3 (HTK), designed by Steve Young from the Cambridge University Engineering Department. However, HTK is able to speakers recognition, for this reason we have realized a special adjustment to use HTK for face identification.
29#
發(fā)表于 2025-3-26 15:45:18 | 只看該作者
A Probabilistic Logic for pTiMo,M for ., and provide an algorithm for verifying PLTM properties. These properties can be checked over states and/or transitions, and encompass both transient and steady-state behaviors. We also provide a verification algorithm for PLTM properties, and analyze its time complexity.
30#
發(fā)表于 2025-3-26 19:31:49 | 只看該作者
,H?rtebestimmungen an Sondermaterialien,significant potential for augmenting accuracy and resilience in analyzing medical images related to various organs. This is achieved by providing a mechanism to assimilate specialized knowledge tailored to specific tasks within deep learning frameworks. Additionally, our comparative analysis against
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