Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s), under e

底的根除

书目名称Intelligent Computing影响因子(影响力)




书目名称Intelligent Computing影响因子(影响力)学科排名




书目名称Intelligent Computing网络公开度




书目名称Intelligent Computing网络公开度学科排名




书目名称Intelligent Computing被引频次




书目名称Intelligent Computing被引频次学科排名




书目名称Intelligent Computing年度引用




书目名称Intelligent Computing年度引用学科排名




书目名称Intelligent Computing读者反馈




书目名称Intelligent Computing读者反馈学科排名

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Cindy van den Berg,Sunet Eybersrgie von Einfluß sind, gewisse Grundsätze zur Verteilung der Selbstkosten aufgestellt werden können. Damit ist aber die Aufgabe der Tarif bildung keineswegs erschöpft; es handelt sich jetzt vielmehr noch darum, die gewählten Prinzipien in der eigentlichen Preisstellung zum Ausdruck zu bringen, d. h.

STALL

Pde5-Inhibitors

Faster Lock-Free Atomic Shared Pointers,an gain more throughput and reduce latency, which is crucial to complex real-time applications like audio and video processing, robotics, or real-time sensor data processing in embedded hardware. Parallel algorithms, however, come with the price of concurrency and synchronization. For example, the p

wreathe

,CICO,e: A Compute Carbon Footprint Estimation Tool Based on Time Series Data,ivities. Generally, the presented carbon footprint estimation methods calculate the product of the compute hardware’s energy consumption and a factor expressing the emissions for the corresponding energy produced in the region where the compute hardware is located. However, there are three open issu

linear

Image Classification Method Based on Chaos Neural Network,ck Propagation Neural Network (BPNN) due to the fact that behavior of the solution from CHAOS NN is chaotic so that the solution may get out from local minima. In order to determine the parameters required for CHAOS NN, training samples are used. The required parameters for the simulation are calcul

ineluctable

,Human-Created and AI-Generated Text: What’s Left to Uncover?,arning models have created remarkably sophisticated language generators, blurring the line between human-authored content and AI-generated text. This poses a challenge for educators and professionals in distinguishing authentic work from instances of plagiarism. This study investigates the fundament

冰雹

AraXLM: New XLM-RoBERTa Based Method for Plagiarism Detection in Arabic Text,ication beyond identification of plagiarized articles and research papers in academia, safeguarding authors’ literary rights across various domains, including digital marketing and libraries. However, the emergence of cross-language plagiarism poses both a significant challenge and a crucial area fo