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- 검색키워드
- 저자 : K. Saruladha (검색결과 2 건)
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M. Swathy,K. Saruladha 한국통신학회 2022 ICT Express Vol.8 No.1
Cardio-Vascular Diseases (CVD) is found to be rampant in the populace leading to fatal death. The statistics of a recent survey reports that the mortality rate is expanding due to obesity, cholesterol, high blood pressure and usage of tobacco among the people. The severity of the disease is piling up due to the above factors. Studying about the variations of these factors and their impact on CVD is the demand of the hour. This necessitates the usage of modern techniques to identify the disease at its outset and to aid a markdown in the mortality rate. Artificial Intelligence and Data Mining domains have a research scope with their enormous techniques that would aassist in the prediction of the CVD priory and identify their behavioural patterns in the large volume of data. The results of these predictions will help the clinicians in decision making and early diagnosis, which would reduce the risk of patients becoming fatal. This paper compares and reports the various Classification, Data Mining, Machine Learning, Deep Learning models that are used for prediction of the Cardio-Vascular diseases. The survey is organized as threefold: Classification and Data Mining Techniques for CVD, Machine Learning Models for CVD and Deep Learning Models for CVD prediction. The performance metrics used for reporting the accuracy, the dataset used for prediction and classification, and the tools used for each category of these techniques are also compiled and reported in this survey.
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Comparative study of game theoretic approaches to mitigate network layer attacks in VANETs
A. Ilavendhan,K. Saruladha 한국통신학회 2018 ICT Express Vol.4 No.1
For the past few years, number of accidents have occurred due to the rapid usage of vehicles in the road and the lack of emergency alerts provisioning to the vehicle user during natural disasters. VANETs provide an environment to communicate between vehicles to avoid such accidents. Vulnerabilities in the network layer of VANET delays timely traffic data dissemination to the vehicle user. Ensuring security in VANET is very essential for the construction of a robust network for transmission of data. In this paper the game theoretic approaches like co-operative and non-cooperative games for handling security issues in VANET are discussed.
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