间谍活动
发表于 2025-3-25 04:01:22
6G-Enabled Internet of Medical Things,9 era has shown the vulnerability of health infrastructure worldwide. As per WHO, aging population of the world would put enormous pressure on health infrastructure in coming decades. With lack of healthcare professionals and limited budget to achieve UNSDG 3, IoMT with its huge umbrella of medical
无可非议
发表于 2025-3-25 08:21:08
An Inductively Degenerated LNA for ISM Applications: Design and Performance Comparison,nd high forward gain (S21). The system design and simulation of the proposed LNA is operating over the band of frequency 2.4–2.5 GHz, which is very much applicable for industrial, scientific, and medical applications. The stated work is standing on fall in noise figure through rising in power gain a
感染
发表于 2025-3-25 14:18:25
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起皱纹
发表于 2025-3-25 17:09:01
,On Two Bivariate Kinds of (,, ,)-Euler Polynomials, derive some recurrence relations and relationships for those polynomials. Furthermore, we derive the (., .)-derivative operator and (., .)-representations for the (., .)-Sine Euler polynomials and (., .)-Cosine Euler polynomials.
regale
发表于 2025-3-25 22:41:39
Different Stages of Watermelon Diseases Detection Using Optimized CNN,es, oranges, onions, and citrus fruits. Watermelons and other fruits are prone to illness. A prompt and correct diagnosis of watermelon infections is necessary to ensure watermelon output. Identifying many stages of watermelon sickness in the environment is the aim of this study. Deep learning has b
Gustatory
发表于 2025-3-26 04:02:16
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偏狂症
发表于 2025-3-26 06:48:22
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decipher
发表于 2025-3-26 12:26:37
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bile648
发表于 2025-3-26 15:09:52
,Empirical Analysis of Unsupervised Link Prediction Algorithms in Weighted Networks,presented by links. So, one of the key issues in such networks is the evolution or creation of edges. Link prediction is the solution where it finds the missing links (edges) in a static case (in a given snapshot of a network) or future links in a dynamic case (given several snapshots of networks at
旧式步枪
发表于 2025-3-26 17:43:29
Detection of Fraudulent Credit Card Transactions Using Deep Neural Network,ons has become significantly more difficult. As a result, having effective and accurate methods for detecting fraud in credit card transactions is vital. Although supervised learning algorithms have been shown to be effective in detecting credit card fraud, they have not generated substantial result