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Papers tagged with "Statistical Model"
A Review On Machine Learning And Deep Learning Models For Identifying Potentially Extremist And Radicalized Content
Machine Learning Has Revolutionized Churn Prediction, Enabling Organizations To Anticipate And Mitigate Risks Effectively. By Leveraging Historical Data And Advanced Algorithms, Businesses Can Identify At-risk Customers Or Employees And Tak...
A Review On Machine Learning And Deep Learning Models For Estimating Customer Churn Rates
Machine Learning Has Revolutionized Churn Prediction, Enabling Organizations To Anticipate And Mitigate Risks Effectively. By Leveraging Historical Data And Advanced Algorithms, Businesses Can Identify At-risk Customers Or Employees And Tak...
A Survey On Machine Learning And Deep Learning Models For Predicting Traffic Transit Time
The Transition Towards Intelligent Traffic Systems (ITS) Is Inevitable In Future. Accurate Travel Time Estimation Is Vital For The Effectiveness Of Modern Public Transportation Systems. It Plays A Central Role In Applications Such As Real-t...
A Review On Statistical Models For Anomaly Detection Using Metro Turnout Data
Metro Railway Systems Are Among The Most Important Modes Of Urban Transportation, Providing Safe, Reliable, And Efficient Mobility For Millions Of Passengers Every Day. One Of The Most Critical Components Of A Metro Railway Network Is The T...
A Review On Statistical Models For Estimating Damages On Bridges To Transportation Safety
With Rapid Advances In Statistical Modelling And Data Analysis, Analysis Of Bridge Failure And Damage Is Also Being Considered Under The Purview Of Statistical Models. It Is Ubiquitous That Manual Inspection Of Bridge Damage And Estimations...
Street Level Travel Time Estimation Employing WBPST-SVR Model Using GTFS Feature
Accurate Estimation Of Street-level Travel Time Is A Fundamental Requirement For Intelligent Transportation Systems (ITS), Enabling Effective Traffic Management, Route Optimization, And Real-time Traveler Information Services. With The Incr...
A Review On Machine Learning Models For Predicting Customer Churn Rate
Machine Learning Has Been Extensively Used For Business Analytics, One Important Application Of Which Happens To Be Estimating Customer Churn. As Markets Become Increasingly Competitive, Retaining Existing Customers Has Proven To Be More Co...
SALES FORECAST OF MANUFACTURING COMPANIES USING MACHINE LEARNING NAVIGATING THE PANDEMIC LIKE COVID-19
Because Of New Technologies, Sales Forecasting Has Recently Gained Tremendous Popularity As A Way To Improve Market Operations And Productivity. Traditional Statistical Models Have Been The Focus Of The Industry Historically, But In Recent...
REVIEW ON INVESTIGATION OF NONLINEAR DAMPED VIBRATIONS OF A HYBRID LAMINATED COMPOSITE PLATE SUBJECTED TO BLAST LOAD
The Work Is Dedicated To The Calculation Of The Overall Elastic Properties Of Matrix Composite Materials Containing Two Different Populations Of Inclusions (three Phase Hybrid Composites). The Application Of The Well Known Mori–Tanaka Metho...