HYBRID APPROACHES FOR STOCKS PREDICTION AND RECOMMENDATION SYSTEM

Hybrid approaches to stock prediction and recommendation are a critical area of research for individual investors and financial institutions.Traditional methods have limitations, leading to the emergence of hybrid models.This paper reviews current research on hybrid models, including GAN-based, LSTM-based, and neural network-based models, Soft Comp

Abstract DANDELION ROOT The pollution of terrestrial and aquatic environments by petroleum contaminants, especially diesel fuel, is a persistent environmental threat requiring cost-effective and environmentally sensitive remediation approaches.Bioremediation is one such approach, but is dependent on the availability of microorganisms with the neces