B. Manjunatha, Karthik R., N. R. Kiran, Appaji Pundalik Naik, Damodhara G. N., Gunashekhar H., Manju Prem S. & K. R. Mahendra·Journal of Scientific Research and Reports·2024
Hidden Markov Models (HMMs) are effective statistical techniques used to uncover underlying patterns in observable sequential data This paper provides a comprehensive overview of the theoretical foundations of HMMs, including key algorithms essential for their implementation, suc...
Open access
Research Article10.9734/jsrr/2024/v30i82303
Supersaturated designs (SSDs) are crucial in factor screening experiments, especially when factor sparsity is assumed, meaning only a few factors are expected to be significant. Building on the foundational work of Jones and Majumdar [1], who introduced the UE(\(S^2 )\) criterio...
Open access
Research Article10.9734/jsrr/2024/v30i82304
B. Manjunatha, Appaji Pundalik Naik, K. R. Mahendra, Manju Prem S., Gunashekhar H., N. R. Kiran, Damodhara G. N. & Karthik R.·Archives of Current Research International·2024
Multi-Dimensional Scaling (MDS) is a data visualization method that identifies clusters of points by representing the distances or dissimilarities between sets of objects in a lower-dimensional space. This paper explores the theoretical concepts of MDS, various methods of impleme...
Open access
Research Article10.9734/acri/2024/v24i6814