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Papers tagged with "Dom"
Hybrid Adaptive Sampling With Risk-Based Credit Card Fraud Detection (HAS-RFD)
Credit Card Fraud Has Become A Significant Challenge In The Digital Economy, Resulting In Substantial Financial Losses And Reduced Trust In Online Transactions. This Paper Presents A Hybrid Adaptive Sampling With Risk-Based Fraud Detection...
RANDOM FOREST REGRESSION APPROACH FOR CROP YIELD ESTIMATION USING SENTINEL- 1 SAR, LULC, CLIMATE DATA
Crop Yield Estimation Plays A Major Role In Agricultural Planning And Food Security. Traditional Methods Of Crop Yield Estimation Are Time-consuming And Require Extensive Field Surveys. This Study Focuses On Estimating Rice Crop Yield Using...
AI-Based Supply Chain Risk Prediction System Using Machine Learning
Supply Chain Systems Are Highly Vulnerable To Disruptions Caused By Factors Such As Transportation Delays, Traffic Congestion, Weather Conditions, And Inventory Fluctuations. Traditional Risk Assessment Methods Are Largely Manual, Time-cons...
Ensemble Machine Learning For NIFTY-50 Price Forecasting And Trend Classification: A Flask-Deployed Decision Support System
Stock Market Forecasting Poses A Significant Challenge Due To The Non-linear, High-volatility Nature Of Financial Time Series. This Paper Presents An End-to-end Machine Learning Pipeline For Predicting NIFTY-50 Closing Prices And Next-day D...
CONSEQUENCE INTELLIGENCE ENGINE FOR PREDICTING DECISION IMPACT IN COMPLEX SYSTEMS
Strategic Decision-making In Complex Organizational Environments Is Inherently Associated With Risk And Uncertainty. Despite Widespread Adoption Of Decision Support Systems, Most Existing Tools Focus On Structuring Decisions Rather Than Pre...
AN INTERPRETABLE FINANCIAL DECISION SUPPORT SYSTEM FOR LOAN APPROVAL USING DATA ANALYTICS
The Process Of Loan Approval Plays A Vital Role In Financial Institutions, Requiring Accurate And Timely Decision-making. Traditional Systems Rely Heavily On Manual Evaluation, Which Often Leads To Inconsistency And Delays. This Study Prese...
PRODUCTION OF MANURE USING WASTE
The Project “Production Of Manure Using Waste” Focuses On Converting Domestic Organic Waste Into Nutrient-rich Manure Through A Simple And Eco-friendly Process. The Primary Aim Is To Reduce Household Waste Such As Fruit And Vegetable Peels,...
CHRONIC KIDNEY DISEASE PREDICTION USING MACHINE LEARNING ENSEMBLE ALGORITHM
Chronic Kidney Disease (CKD) Is A Non-communicable Illness That Affects A Significant Portion Of The Global Population. Major Risk Factors Include Diabetes, Hypertension, And Cardiovascular Disorders. CKD Often Remains Asymptomatic In Its E...
Intelligent Resume Analyzer: A Machine Learning Approach For Automated Resume Screening And Candidate Evaluation
We Spent A Fair Amount Of Time Watching How Recruiters Actually Screen Resumes Before Building This. What Struck Us Was Not The Speed — Six To Eight Seconds Per Resume Is Well-documented [1] — But How Much Of That Time Went To Things That H...
Machine Learning Approaches For Intelligent Intrusion Detection Systems In Cloud Networks
Cloud Computing Has Become A Fundamental Platform For Storing Data And Running Applications Due To Its Scalability, Flexibility, And Cost Efficiency. However, The Rapid Growth Of Cloud Environments Has Also Increased Security Threats Such A...
Performance Evaluation Of Hybrid Machine Learning Models For Credit Card Fraud Detection
Credit Card Fraud Cares With The Illegal Use Of Master Card Information For Purchases. Credit Card Transactions Are Often Accomplished Either Physically Or Digitally. In The Manual Transactions, The Credit Card Is Included During The Transa...
AQI Index Analyzer Using Machine Learning
Air Quality Index AQI Prediction Is A Critical Public Health Task That Involves Leveraging Data-driven Methods To Forecast Pollutant Concentrations And The Resulting AQI Under Dynamic Environmental And Meteorological Conditions1. This R...
Intelligent SMS Spam Filtering Under Adversarial Conditions Using Random Forests
The Growing Volume Of Unsolicited And Deceptive SMS Messages Poses A Critical Threat To Mobile Users, Necessitating The Development Of Accurate And Resilient Spam Detection Systems. While Machine Learning (ML)-based Models Have Been Widely...
A DRIVING DECISION STRATEGY(DDS) BASED ON MACHINE LEARNING FOR AN AUTONOMOUS VEHICLE
A Modern-day Self-sustaining Car Determines Its Driving Method By Means Of Thinking About Solely Exterior Factors (Pedestrians, Street Conditions, Etc.) Barring Thinking About The Interior Circumstance Of The Vehicle. To Overcome Above Prob...
PHYTOCHEMICAL SCREENING, PHYSICAL PARAMETERS AND NUTRITIONAL COMPOSITION OF Parpalum Scrobiculation ENRICHED CHOCOLATE
Millets Are A Group Of Small, Nutritious Grains That Have Been A Staple Food For Thousands Of Years, Particularly In Asia And Africa.Kodo Millet (Paspalum Scrobiculatum) Is An Incredibly Nutritious Grain That Offers A Wide Range Of Health B...