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Papers tagged with "Modelling"
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...
INTEGRATING OF BUILDING ENERGY MODELLING FOR ACHIEVING NET ZERO ENERGY BUILDING IN HOT HUMID CLIMATE
The Building Sector Significantly Contributes To Energy Consumption, Particularly In Hot And Humid Regions Where Cooling And Dehumidification Demands Are High. In Rapidly Growing Cities Like Mumbai, Pune, And Nagpur, High Temperatures (30°C...
Malware Behavioural Hash (MBH): An Entropy-Driven Digital Forensic Framework For Large-Scale Malware Attribution
The Increasing Sophistication Of Polymorphic And Obfuscated Malware Has Significantly Weakened Traditional Static Hash-based Attribution Mechanisms In Digital Forensic Investigations. Minor Code Mutations, Packing Techniques, And Structural...
SEISMIC ANALYSIS OF TALL STRUCTURE CONSIDERING VARIABLE COLUMN CONDITION USING ANALYSIS TOOL
One Important Factor That Affects The Project's Or Building's Economy Is The Distance Between Columns. Because Of This Relationship Between Column Spacing And Panel Size, The Cost Of Raw Materials Can Vary In Reinforced Concrete Buildings....
ARTIFICIAL INTELLIGENCE FOR FLOOD FORECASTING : A REVIEW
Flooding Remains One Of India’s Most Pressing Natural Hazards, With The National Disaster Management Authority Reporting That Over 12% Of The Country’s Landaround 40 Million Hectaresis Vulnerable To Inundation. In 2024, Extreme Rainfall And...
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...
Exploring visual data analysis in the context of intelligence construction project management
Data Visualization Of Data Collected On Construction Sites Is A Valuable Source Of Information For The Day-to-day Operations Of Construction Projects. In The Field Of Construction Project Management, The Introduction Of Intelligent Technolo...
PREDICTIVE MODELLING FOR STOCK MARKET PRICE MOVEMENTS USING MACHINE LEARNING
This Project Uses Machine Learning To Predict Stock Market Prices. We Collect And Clean Historical Stock Data And Then Build Different Models To Make Predictions. We Also Consider Fairness And Ethics In Our Predictions. Our Goal Is To Help...
DESIGN, DEVELOPMENT & ANALYSIS OF DUAL MASS FLYWHEEL SPRING
All Engines Have Flywheels Or Weighted Crankshafts That Balance Out Compression And Power Strokes, Maintain Idle Speed, Aid Starting And Reduce Parts Wear. Dual Mass Flywheel Is A Multi-clutch Device Which Is Used To Dampen Vibration That O...
ANALYSIS ON DIFFERENT MODELLING ASPECTS FOR THE DESIGN OF BRIDGES
Current Practice For The Designing Of The Reinforced Concrete Bridge Which Is Based On The Linear Elastic Structural Analysis For The Sectional Distribution Of The Loading On The Bridges Is Sought Out. In This Analysis The Various Direction...
LINKING BIM TO POWER BI TO SUPPORT FACILITY MANAGEMENT
All Researchers Support Building Information Modelling (BIM) As The Best Way To Improve The Construction Process. Traditionally, Syntax And Analysis Tools Are Used To Search And Query Data Structures. This Tool Is Not Designed To Explore An...
BUILDING INFORMATION MODELLING,ARTIFICIAL INTELLIGENCE AND CONSTRUCTION TECH
Adoption Of Digital Information Tools In The Construction Sector Provides Fertile Ground For The Birth And Growth Of Companies That Specialize In Applications Of Technologies To Design And Construction. While Some Of The Technologies Are Ne...
3D Design Software Use in Architecture Firm
Revit, En-scape, V-ray, Lumion, Twin-motion, And SketchUp Are All Effective Tools For Architectural Design And Visualisation. As The Subject Of Architecture Grows More Digital, Competency In These Programmes Is Becoming A Need For Every Suc...
REVIEW PAPER IMPACT AND ADOPTION OF BIM IN CONSTRUCTION INDUSTRY
The Goal Of Emerging Technology In The Past Few Decades Has Been To Create New Information Systems To Automate Manual Tasks. Large-scale Projects In The Construction Sector Require A Specialized Method Of Data Organizing And Analysis In Ord...