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Papers tagged with "Xgboost"
Forecasting Customer Turnover Using Machine Learning
Customer Churn Prediction Is An Essential Task For Telecommunication Companies To Reduce Customer Loss And Improve Retention.A Machine Learning System Is Proposed In This Paper To Predict Customer Churn By Using Customer Usage History. Fron...
Hybrid Machine Learning Model For Multi-Diseases Diagnosis
Co-occurring Chronic Conditions And Complex Multi-disease Pathologies Represent An Escalating Global Public Health And Socioeconomic Crisis. In Rapidly Growing Urban Patient Populations, Overlaps Between Metabolic, Cardiovascular, And Neuro...
BIKE PRICE PREDICTION SYSTEM USING MACHINE LEARNING
The Valuation Of Used Consumer Assets, Particularly Pre-owned Two-wheeled Vehicles, Remains A Major Secondary-market And Socioeconomic Challenge. In Rapidly Developing Urban Transport Ecosystems, Frequent Fluctuations In Marketplace Deman...
AI-Powered Diagnosis Of Vision-Threatening Ocular Conditions Using Clinical Data Analytics
Vision-threatening Ocular Diseases Such As Diabetic Retinopathy, Glaucoma, Cataract, Age-related Macular Degeneration (AMD), Hypertensive Retinopathy And Pathological Myopia Are Leading Causes Of Preventable Blindness Worldwide. Conventiona...
AI-Driven Price Prediction System For Direct Farmer-to- Market Consumer Agricultural Market
Farmers Who Sell Directly To Consumers Through Digital Platforms Often Have No Idea What Price To Charge For Their Produce. They Rely On Heuristic Judgment And Informal Market Signals, Or Whatever Their Neighbor Charged Last Week. This Leav...
Customer Sales Predication Using Artifical Intelligence
Customer Churn Prediction Is An Important Research Problem In Business Analytics That Helps Organizations Identify Customers Who Are Likely To Discontinue Their Services. This Paper Proposes A Machine Learning-based Churn Prediction Framewo...
Enhanced Ransomware Detection Via Multi-Fragment Differential Area Analysis: Attacks, Countermeasures, And Resilience Evaluation
Crypto-ransomware Remains One Of The Most Destructive Categories Of Malware, Exploiting Strong Symmetric Encryption To Render Victim Data Inaccessible Until A Ransom Is Paid. Differential Area Analysis (DAA), Introduced By Davies Et Al., An...
Explainable Ensemble Machine Learning Framework For Heart Disease Prediction
Heart Disease Is One Of The Leading Causes Of Death Worldwide, And Early Prediction Plays An Important Role In Reducing Severe Health Risks. Traditional Diagnostic Methods Such As ECG, Blood Tests, And Imaging Require Expert Interpretation,...
A MACHINE LEARNING BASED CLASSIFICATION AND PREDICTION TECHNIQUES FOR DDOS ATTACKS
Distributed Denial-of-Service (DDoS) Attacks Represent A Significant Threat In Contemporary Network Security, Compromising The Availability And Integrity Of Services Across Diverse Platforms. These Attacks Overwhelm Target Networks With Sub...
LOAN APPROVAL SYSTEM USING MACHINE LEARNING SCORING
This Paper Presents LoanAI, A Machine Learning-based Loan Approval System Designed To Address Financial Exclusion Among Young Borrowers Lacking Traditional Credit History. The System Evaluates Creditworthiness Using Bank Transaction Data Su...
Live Cryptocurrency Market Dashboard With Machine Learning-Based Price Prediction And RSI Signal Generator
Cryptocurrency Markets Are Highly Volatile And Change Rapidly, Which Makes Price Prediction And Decision- Making Difficult For Investors. This Project Presents A Live Cryptocurrency Market Dashboard That Provides Real-time Market Visualizat...
AI-DRIVEN SECURE NETWORK AUTHENTICATION WITH SPATIAL TRUST VALIDATION
This Paper Presents An AI-Driven Secure Network Authentication System With Spatial Trust Validation To Enhance Traditional Login Security Using Machine Learning And Generative AI Techniques. During Registration, The System Stores Baseline A...
IOT INTEGRATED ML SYSTEM FOR FERTILIZER DOSAGE PREDICTION
Agriculture Plays A Huge Role In The Economies Of Developing Nations Like India, Where It Keeps More Than Half The Workforce Employed. Yet, Despite Its Importance, Farmers Still Struggle With How They Use Chemical Fertilizers. Too Much Fert...
A NOVEL AND EFFICIENT AI DRIVEN GEOSPATIAL SIMULATION FOR ENHANCING THE GREEN ENVIRONMENT IN URBAN AREAS
Rapid Urban Growth Has Intensified Environmental Degradation, Particularly In The Form Of Declining Air Quality And Shrinking Green Spaces. Unregulated Development, Population Density Increases, And Industrial Expansion Have Disrupted Ecolo...
A Cloud-Based AI-Powered Threat Deception Platform
Modern Web Applications Are Increasingly Targeted By Automated Bots And Sophisticated Attackers Using Advanced Exploitation Techniques Such As Injection Attacks, Credential Stuffing, And Reconnaissance-based Probing. Traditional Intrusion D...