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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...