Karthik V.C.

Enhancing Agricultural Commodity Price Forecasting Using Generative Models: A Deep Learning Approach

G. Avinash, G. H. Harish Nayak, Moumita Baishya, B. Samuel Naik & Karthik V.C. · Journal of Scientific Research and Reports · 2024

Predicting stock market prices is a critical yet challenging task in finance. Technical analysis, a widely used methodology in investment theory, involves forecasting price movements by analyzing historical market data. Recently, deep learning has gained prominence for its except...

Open access Research Article 10.9734/jsrr/2024/v30i102424

Advanced Methods for Constructing UE(\(S^2 )\) Optimal Supersaturated Designs in Factor Screening Experiments

B. Manjunatha, Manju Prem S., Gunashekhar H., Karthik R., K. R. Mahendra, N. R. Kiran, Damodhara G. N. & Karthik V.C. · Journal of Scientific Research and Reports · 2024

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 Article 10.9734/jsrr/2024/v30i82304