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Papers tagged with "Machine Learning"
ML Powered Insurance Fraud Detection With Explainability
One Major Issue Facing The Banking Industry Is Insurance Fraud., Leading To Substantial Monetary Losses And Increased Premiums For Honest Policyholders. Traditional Rule-based Fraud Detection Systems Struggle To Adapt To Evolving Fraudulent...
Early Detection Of Kidney Cancer Using Machine Learning-Based Predictive Modeling
Kidney Cancer Remains A Serious Health Threat Worldwide, With Many Cases Undetected Until Reaching Advanced Stages, Leading To Reduced Survival Rates. Factors Like Limited Awareness And Insufficient Diagnostic Resources Contribute To High M...
AUTONOMOUS BOAT FOR CLEANING FLOATINGDEBRIS AND AUTOMATIC FISH FEEDING SYSTEM
Water Pollution Caused By Floating Debris And Inefficient Fish Feeding Methods Poses Significant Environment Challenges. This Project Proposes An Autonomous Boat Equipped With Machine Learning (ML),IoT,and Servo Motor To Address These Issue...
AI-Powered Product Authenticity Checker, Fake Product Detector & Price Comparator
The Increasing Cases Of Counterfeit Products, Fake Sellers, And Misleading Pricing On E-commerce Platforms Have Made Online Shopping Risky For Consumers. This Paper Presents An AI-based System That Detects Fake Products, Verifies Authentici...
A Review On Machine Learning Models For Estimating EV Charging Demand
Machine Learning And Data Analytics Are Extensively Used For Optimizing The Performance Of Electric Vehicles. As Electric Vehicles (EVs) Become More Prevalent Globally, The Need For Efficient Infrastructure Planning And Energy Management Gr...
A Review On Machine Learning Based Models For Identifying Potential Adversarial And Poisoning Attacks
Machine Learning (ML) Has Revolutionized Data-driven Decision-making Across Sectors Such As Healthcare, Finance, Defense, And Cybersecurity. However, As Its Influence Grows, So Does Its Vulnerability To Adversarial And Poisoning Attacks. Ad...
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...
Lightweight Machine Learning Model For Fraud Risk Management In SMEs
This Paper Presents A Lightweight Machine Learning Model For Enterprise Fraud Risk Management (EFRM) In Small And Medium Enterprises (SMEs). Traditional Fraud Detection Systems Are Often Too Resource-intensive For SMEs, Which Face Constrain...
PREDICTION OF SMART CONCRETE PROPERTIES USING AI TECHNIQUES
Smart Concrete Is Transforming Construction By Combining Self-sensing And Self-healing Characteristics, Allowing For Real-time Structural Health Monitoring. However, Because Of Different Material Compositions And Environmental Conditions, I...
AI-Powered Gait Analysis For Early Detection Of Mental Stress Using Mobile Video
In Recent Years, Mental Stress Has Become A Growing Concern Due To Its Impact On Both Physical Health And Daily Performance. Traditional Methods Of Detecting Stress Often Rely On Physiological Sensors Or Self-reported Assessments, Which Can...
IOT-Based Bridge Health Monitoring System
Modern Bridges Need Regular And Careful Monitoring To Stay Safe And In Good Working Condition. Traditional Ways Of Checking Bridges Can Be Slow, Expensive, And Often Happen After Damage Has Already Started. This Paper Talks About A Smart Sy...
An Intelligent Career Guidance Framework Based On Personality Traits For STEM Disciplines
This Paper Introduces An AI-powered Platform Designed To Provide Personalized Career Guidance For STEM Professionals And Students. The Platform Addresses The Challenges Of Generalized Career Advice By Leveraging Advanced Algorithms And Psyc...
IoT Based Smart Biofloc Monitoring System For Fish Farming Using Machine Learning
Biofloc Technology Has Emerged As A Sustainable And Space-efficient Method For Fish Farming, Particularly Valuable In Regions With Limited Water Resources. However, Its Operation Is Highly Sensitive To Variations In Water Quality Parameters...
A Machine Learning-Based Framework For Early Mental Health Assessment Among Students
Mental Health Concerns Among Students Are Increas- Ingly Prevalent, Yet They Often Go Undetected Due To The Lack Of Structured And Scalable Assessment Frameworks. Conventional Evaluation Methods Tend To Rely On Manual Intervention, Which Is...
Android Malware Detection Using Multi-Domain Feature Analysis And Deep Learning Models
We Propose A Hybrid And Intelligent Android Malware Detection Framework That Integrates Multi-domain Feature Extraction With Deep Learning Models To Improve Mobile Application Security. The System Consists Of Two Key Modules: The APK Securi...