ABSTRACT
We examined an alternate methodology in this work classification traffic and congestion intelligently with traveling views. The technique employed an intelligent camera survey to manage road conditions and passenger response via an interactive online questionnaire survey. A broad variety of human assumptions, such as light, heavy, and jam, was used by the artificial neural network (ANN) and decision tree model (J48) to categorize velocity and network flow into three frequency uses. Both approaches were then contrasted with the current Occupancy Ratio (OR) technique at the Bangkok MBA (BMA). ANN’s precision exceeds the J48’s precision. The input string is a problem for the security of the employment website. The difficulty is that software developers have confidence in string inputs without greater comparative. In a modern browser, it usually takes a little consideration, because over-enthusiastic validation might violate security with online applications. Unpatched vulnerabilities such as SQL injection were presented here, followed by an examination of the advantages of a series of popular appropriate data procedures. The main focus of this study is to prevent online Security issues and then a web platform is protected even if elements are validated circumvented by a New Data Validation Service (NDVS) consumers depend on semantical web technology.
