Titlebook: Security, Privacy and Data Analytics; Select Proceedings o Udai Pratap Rao,Mamoun Alazab,Pethuru Raj Chelliah Conference proceedings 2023 T

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书目名称Security, Privacy and Data Analytics影响因子(影响力)




书目名称Security, Privacy and Data Analytics影响因子(影响力)学科排名




书目名称Security, Privacy and Data Analytics网络公开度




书目名称Security, Privacy and Data Analytics网络公开度学科排名




书目名称Security, Privacy and Data Analytics被引频次




书目名称Security, Privacy and Data Analytics被引频次学科排名




书目名称Security, Privacy and Data Analytics年度引用




书目名称Security, Privacy and Data Analytics年度引用学科排名




书目名称Security, Privacy and Data Analytics读者反馈




书目名称Security, Privacy and Data Analytics读者反馈学科排名

抛弃的货物

,Recent Advancements on Energy-Saving LEACH Protocol in Wireless Sensor Network—Review,proving the LEACH algorithm and creating more efficiency for practical use. The main issues of LEACH inequality of the amount of CHs and forgetting to unused energy of nodes. That’s why researchers find the solution to propose a new energy-efficient routing protocol, or enhance the existing routing

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Analysis of Different Sampling Techniques for Software Fault Prediction,vations. Different over-sampling and under-sampling techniques are used to tackle the class imbalance problem. In this paper, random under-sampling, random over-sampling, and SMOTE are applied to six PROMISE datasets. A decision tree classifier is used to create the model. The efficiency of differen

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尖酸一点

Seizure

Malicious Sensor Node Extraction from Infested Acoustic Signals in Underwater Wireless Sensor Netwoo standard techniques. It is found that the proposed method performs superior to the state of the art by at least 24.4% in terms of delta ., whereas it is 3% in the vicinity of the lower bound in terms of localization accuracy. The advantage of the proposed research is achieved in terms of the remov

Geyser

Stock Market Prediction and Analysis Using Different Machine Learning Algorithms,e proposed algorithm is around 97%. Different types of datasets are utilised to achieve favourable outcomes. It can be observed that building a proper model can help an investor to create a better stock portfolio, as better prediction improves the net profit for the investor.