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Traffic Volume Forecast Using Statistical Regression Learning For Annual Average Daily Traffic (AADT) Estimate
With The Advent Of Intelligent Transportation Systems (ITS), Short Term Traffic Prediction Is A Major Feature To Develop The Smart Traffic System For The Smart City Framework. It Allows Real Time Data Accumulation, Analysis And Operations I...
A Deep neural network based model for predicting remanufacturing cost of eol products
Remanufacturing Cost Prediction Is Conducive To Visually Judging The Remanufacturability Of End-of-life (EOL) Products From Economic Perspective. However, Due To The Randomness, Non-linearity Of Remanufacturing Cost And The Lack Of Sufficient...
PRODUCT RATING SYSTEM USING DEEP LEARNING
In The Age Of Internet Shopping, Customers Rely Significantly On Product Ratings And Reviews To Make Informed Purchasing Decisions. As The Volume Of User-generated Content Increases, Standard Rating Systems Struggle To Capture The Temporal...
A SURVEY ON TRAFFIC FLOW PREDICTION BY USING ARTIFICIAL INTELLIGENCE
This Paper Represents A Novel Design And Control Nowadays Traffic Flow Is Major Problem. Approximately 1.3 Million People Die Each Year Because Of Accidents According To WHO In 2022. Knowing How Traffic Will Move Is Important For Managing T...
DYNAMIC APPROACH FOR OPTIMIZING BUS TIMETABLES AND PASSENGER WAITING TIME
Public Transit Is One Of The Most Important Service Sectors Of A Modern City To Satisfy People's Intra-city Transportation Requirements.Dynamic Bus Dispatching In Transit System Plays A Very Important Role Since It Is Directly Related To Th...
Preparation of Comprehensive Traffic and Transportation Study
As We Know The World Is Facing Pollution Problem. Cities Are Rapidly Becoming The Engines Of Economic Growth All Over The Developing World. In India, Though Only About 30% Of The National Population Resides In Urban Areas, They Generate Ove...