Sparkle
发表于 2025-3-21 20:03:48
书目名称Advances in Computing and Data Sciences影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0147310<br><br> <br><br>书目名称Advances in Computing and Data Sciences影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0147310<br><br> <br><br>书目名称Advances in Computing and Data Sciences网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0147310<br><br> <br><br>书目名称Advances in Computing and Data Sciences网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0147310<br><br> <br><br>书目名称Advances in Computing and Data Sciences被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0147310<br><br> <br><br>书目名称Advances in Computing and Data Sciences被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0147310<br><br> <br><br>书目名称Advances in Computing and Data Sciences年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0147310<br><br> <br><br>书目名称Advances in Computing and Data Sciences年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0147310<br><br> <br><br>书目名称Advances in Computing and Data Sciences读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0147310<br><br> <br><br>书目名称Advances in Computing and Data Sciences读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0147310<br><br> <br><br>
surmount
发表于 2025-3-21 22:28:13
1865-0929 ly reviewed and selected from 411 submissions. The papers focus on advances of next generation computing technologies in the areas of advanced computing and data sciences..978-3-031-12640-6978-3-031-12641-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
圆锥体
发表于 2025-3-22 04:10:14
https://doi.org/10.1007/978-981-15-7514-3y railways use cases enabling application-initiated and manipulated data sessions. Using the service interfaces, on-board and trackside applications can establish data sessions e.g. in case of emergency. The service is described by typical use cases, data types, resources and supported methods, and some implementation issues are discussed.
Reservation
发表于 2025-3-22 08:08:00
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吞下
发表于 2025-3-22 11:09:58
Adel Sarea,Ghilan Al-Madhagy Taufiq-Hail predicting the occurrence of cybercrime. We have considered four major categories of cybercrime, namely cyber bullying, cyber harassment, cyber fraud and cyber hacking for performing various experiments. In the proposed model we have achieved an accuracy of 97.6% while predicting cyber-criminal activities.
insurrection
发表于 2025-3-22 13:20:24
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opportune
发表于 2025-3-22 18:20:06
https://doi.org/10.1007/978-981-15-7514-3d predict the output as ALL infected or not. According to the experimental results, it is observed that the performance of CNN supersites other machine learning classifiers for the proposed classification in terms of accuracy.
中世纪
发表于 2025-3-23 00:42:12
Unsanhame Mawkhlieng,Abhijit Majumdarat, these were then classified and categorized based on the principal preserved component analysis (PPCA) method into four main emotions; positive, negative, ambiguous, and neutral successfully. And for this task, Natural Language Processing (NLP) pre-training was applied, which was a transformer based machine learning technique.
quiet-sleep
发表于 2025-3-23 03:50:07
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Acupressure
发表于 2025-3-23 07:50:15
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