具体
发表于 2025-3-30 10:43:21
http://reply.papertrans.cn/27/2631/263084/263084_51.png
物质
发表于 2025-3-30 15:34:30
http://reply.papertrans.cn/27/2631/263084/263084_52.png
Barter
发表于 2025-3-30 19:44:12
Performance Evaluation of LiCi-2 Ultra-lightweight Block Cipher, of eavesdropping because these devices might exchange sensitive information. An emerging field called lightweight encryption can protect these gadgets’ data from eavesdroppers. LiCi-2 is described as an uncertified, extremely resource-efficient cipher in literature. This study’s goal is to assess t
存在主义
发表于 2025-3-30 23:46:20
A Comparative Study: Fog and Cloud Computing,is, the criteria and traits of fog computing and clustered fog computing are expressed quantitatively. As the number of connected devices grows, cloud-based platforms that offer real-time, low latency services prove to be a problem. In a suggested method study of clustering in fog nodes using IoT or
感激小女
发表于 2025-3-31 04:22:27
Soil Moisture Prediction Using Machine Learning Techniques,ictions, environmental monitoring and water shortage. In this work, support vector regression and decision tree techniques have been applied on the given datasets. The data used in this experiment is classified into two different parts: soil moisture data and meteorological data. The data is collect
flex336
发表于 2025-3-31 06:48:38
http://reply.papertrans.cn/27/2631/263084/263084_56.png
fixed-joint
发表于 2025-3-31 10:03:42
http://reply.papertrans.cn/27/2631/263084/263084_57.png
诱惑
发表于 2025-3-31 16:56:00
Predicting Software Faults Using Machine Learning Techniques: An Empirical Study,opment life cycle. Deep learning (DL), machine learning (ML), and all forms of data mining are used in the process of predicting software faults. First, we provide a brief introduction to the fundamentals of ML-based software defect prediction. The objective of software fault prediction is to identi
慢慢冲刷
发表于 2025-3-31 17:33:08
http://reply.papertrans.cn/27/2631/263084/263084_59.png
膝盖
发表于 2025-3-31 21:48:41
http://reply.papertrans.cn/27/2631/263084/263084_60.png