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Titlebook: Data Science and Big Data Analytics; Proceedings of IDBA Durgesh Mishra,Xin She Yang,Dharm Singh Jat Conference proceedings 2024 The Edito

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發(fā)表于 2025-3-30 10:43:21 | 只看該作者
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發(fā)表于 2025-3-30 15:34:30 | 只看該作者
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發(fā)表于 2025-3-30 19:44:12 | 只看該作者
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
54#
發(fā)表于 2025-3-30 23:46:20 | 只看該作者
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
55#
發(fā)表于 2025-3-31 04:22:27 | 只看該作者
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
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發(fā)表于 2025-3-31 06:48:38 | 只看該作者
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發(fā)表于 2025-3-31 10:03:42 | 只看該作者
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發(fā)表于 2025-3-31 16:56:00 | 只看該作者
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
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發(fā)表于 2025-3-31 17:33:08 | 只看該作者
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發(fā)表于 2025-3-31 21:48:41 | 只看該作者
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