Hybrid Intelligent System Tool to Improve Technological Growth in Science and Technology(S&T) Sector by Identifying the GAP

A priority analysis and prediction is required to study about consistent growth in Science and Technology Sector (S&T). It is by developing a artificial intelligence tool to bolster technological growth by studying and comparing behavioral factors of temporal and current data. Obtain the epidemiological, temporal, and cohort study about Technological Growth (TG) on the sectors such as Environment Engineering Science (EES), Health Engineering (HE), Energy and Resource Engineering (EE), and Agricultural Engineering (AE) to find deviated habitat behavioral data for observation and analysis to strengthening Technological Growth (TG). Knowledge of deep learning in hybrid intelligent system tool confers an alarm and pavement to smart, healthy, and quality innovation to overcome the interdependent pitfall.