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A Hybrid Machine Learning Framework For Explainable Insurance Risk Assessment
Insurance Providers Increasingly Rely On Analytical Solutions To Improve Underwriting Consistency, Reduce Processing Time, And Optimize Risk Assessment. Traditional Underwriting Approaches Often Depend On Manual Review And Expert Judgment,...
ProcureAi: An AI-Driven Procurement Spend Intelligence Platform For Automated Anomaly Detection, Supplier Optimisation And Predictive Expenditure Forecasting
- Enterprises Routinely Lose Between Three And Eight Percent Of Addressable Procurement Spend To Fragmentation, Duplicate Payments, Maverick Buying, Contract Price Leakage, And Unmanaged Tail Spend. This Paper Presents ProcureAI, A Full-sta...
A Review On Machine Learning Enabled MIMO Systems For Capacity Enhancement In Wireless Networks
Due To Increasing Number Of Users And Multimedia Applications, Multiple Input, Multiple Output (MIMO) Systems Have Become Indispensable From Wireless Technology. The Benefit Of MIMO Systems Is Increase In The Channel Capacity At Low Bandwid...
An Optimized Deep Learning Model For Churn Rate Prediction
Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...
A Deep Learning Approach For Predicting Crypto Currency Prices Trends
Machine Learning And Deep Learning Models Are Being Extensively Used At The Backend Of Forecasting Crypto Prices. Many Factors, Including Changes In Regulation, Public Opinion On Social Media, Investor Actions, And Overall Global Economic T...
An Optimized Neuro Fuzzy System For Predictive Maintenance For Smart Manufacturing Systems
Smart Manufacturing Systems Represent The Modern Evolution Of Industrial Automation Where Machines, Sensors, Communication Technologies, And Intelligent Algorithms Work Together To Improve Productivity And Operational Efficiency. Industries...
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...
A Study On Compensation And Welfare Measures And Employee Satisfaction At Sri Sai Tubes And Pipes
The зtudy Focuзeз On Compenзation And Welfare Meaзureз And Their Impact On Employee зatiзfaction At Sri Sai Tubeз And Pipeз. Employee зatiзfaction Playз A Vital Role In Improving Productivity, Organizational Commitment, And Overall Performa...
A Study On Occupational Health And Safety Practices At Sri Sai Tubes And Pipes
Occupational Health And Safety Practices Play A Vital Role In Ensuring Employee Safety, Improving Productivity, And Maintaining A Healthy Work Environment In Industrial Organizations. This Study Focuses On Analyzing The Occupational Health...
A STUDY ON EMPLOYEE JOB SATISFACTION WITH SPECIAL REFERENCE TO RICH DAIRY PRODUCTS (INDIA) PRIVATE LIMITED, NAMAKKAL.
This Study Examines The Level Of Employee Job Satisfaction At Rich Dairy Products (India) Private Limited, Namakkal. Employee Job Satisfaction Is A Critical Determinant Of Organizational Success, Affecting Productivity, Employee Retention,...
A STUDY ON EMPLOYEE WELFARE MEASURES WITH SPECIAL REFERENCE TO RICH DAIRY PRODUCTS INDIA PRIVATE LIMITED, NAMAKKAL
This Study Examines Employee Welfare Measures And Their Impact On Employee Satisfaction And Organizational Effectiveness At Rich Dairy Products (India) Private Limited, Namakkal. Employee Welfare Is An Important Component Of Human Resource...
A STUDY ON EMPLOYEE WELFARE AND JOB SATISFACTION AT KMB GRANITES PVT LTD
Employee Welfare And Job Satisfaction Are Essential Components Of Organizational Success And Employee Development In Modern Industries. Employee Welfare Includes All The Services, Facilities, And Benefits Provided By Employers To Improve Th...
An Optimized Machine Learning Model For Forecasting Traffic Speeds In Urban Environments
The Potential For Data Collecting And Analytics-based Intelligent Traffic Systems (ITS) To Improve Traffic Systems Is Now Being Investigation. Predicting How Fast Traffic Will Be Moving Is One Of The Most Important Uses For This Technology....
Design And Implementation Of Deep Learning Based MIMO Systems For Wireless Networks
Present Day Communication Systems Are Facing Some Critical Issues Which Are Increased Number Of Users, The Amount Of Bandwidth Availability To Be Used By The Users And The Need For Ever Increasing Data Rates. The Major Concern Regarding All...
Amitext: Emotionally Intelligent Message Rewriting Using Transformer Models And Reinforcement Learning
Amitext Is A Premium Message Rewriting Software That Will Enhance The Standards Of Online Communication By Transforming Emotionally Toned Or Offensive Text Messages To Friendly, Sympathetic And Constructive Messages In A Manner That Will No...