@Romharsh

Research Papers and works that are done by Romharsh. Links are given below:-

Employability of Internet of Things (IoT) and Hadoop linked analytics in enhancing the efficacy of Interruption Detection System (IDS).

Developing an integrated model based on the Probabilistic Neural Network (PNN) in the early detection and prediction of an impending earthquake.

Analyzing the key influences impacting existing and emerging Internet of Things (IoT) security features including blockchain technologies to mitigate cyber-attacks and enhance safeguard.

Employability of KNN, Naïve Bayes, and Random Forest algorithms by leveraging Machine Learning techniques to enhance the appropriate selection of subjects for students of ICSE board system.

Leveraging the NEST, GeNN, EDLUT, and BRIAN tools in mitigating the cost and enhancing of the computational speed.

Applicability of SVM, Random Forest, and Decision Tree algorithms in text mining for effective detection of abusive language in assigned datasets.

About this account

ROMHARSH

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JoinedApril 2021

@Romharsh has been a member of Linktree for 5 years and joined in April 2021. Resources ROMHARSH has populated their site with include: • Employability of Internet of Things (IoT) and Hadoop linked analytics in enhancing the efficacy of Interruption Detection System (IDS). • Developing an integrated model based on the Probabilistic Neural Network (PNN) in the early detection and prediction of an impending earthquake. • Analyzing the key influences impacting existing and emerging Internet of Things (IoT) security features including blockchain technologies to mitigate cyber-attacks and enhance safeguard. • Employability of KNN, Naïve Bayes, and Random Forest algorithms by leveraging Machine Learning techniques to enhance the appropriate selection of subjects for students of ICSE board system. • Leveraging the NEST, GeNN, EDLUT, and BRIAN tools in mitigating the cost and enhancing of the computational speed. • Applicability of SVM, Random Forest, and Decision Tree algorithms in text mining for effective detection of abusive language in assigned datasets.