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Papers tagged with "Supervised Learning"
AI Cardiologist: Advancements In Supervised Learning For Heart Disease Prediction
Cardiovascular Disease (CVD) Continues To Pose A Significant Global Health Challenge, Demanding Innovative Approaches For Early Detection And Prevention. This Paper Presents An AI Cardiologist System That Leverages Supervised Machine Learni...
LRFS : Online Shopper's Behaviour - Based Efficient Customer Segmentation Model
Online Shopping Has Become A Dominant Platform In Modern Digital Commerce. Understanding Customer Behavior Is Essential For Improving Marketing Strategies And Increasing Revenue. This Paper Proposes An Enhanced Customer Segmentation Model N...
Fraud Detection And Analysis For Insurance Claims Using Machine Learning
Insurance Fraud, Particularly In Claim Processing, Results In Billions Of Dollars In Losses Annually For Companies Worldwide. Manual And Rule-based Detection Mechanisms Are Often Inefficient In Detecting Sophisticated Fraud Schemes. This St...
A Comprehensive Analysis Of ChatGPT 4.5: Innovations, Challenges, And Societal Impact
Released On February 27, 2025, ChatGPT 4.5 Represents A Major Milestone In The Evolution Of Natural Language Processing (NLP) And Artificial Intelligence (AI). Building Upon Decades Of Research And The Technological Breakthroughs Of Its Pre...
ARTIFICIAL INTELLIGENCE IN FRAUD DETECTION : TECHNIQUES, APPLICATIONS AND CHALLENGES
Fraud Detection Has Become An Increasingly Important Field As Digital Transactions Grow And Fraud Tactics Become More Sophisticated. Traditional Fraud Detection Methods, Though Effective, Struggle To Keep Up With The Evolving Nature Of Frau...
Study Of Machine Learning
This Paper Represents A Novel Design And Control Architecture Of The Continuous Stirred Tank Reactor (CSTR) Based On Its Mathematical Equivalent Modeling Of The Physical System. The Plant Is Formed Analytically For The Normal Operating Cond...
Efficient Machine Learning Approaches for Energy Optimization in Smart Grid Systems
Energy Management, Financial Savings, Efficient Planning, And Safe And Dependable Power Grid Operation All Depend Heavily On Energy Optimization. This Study Takes Into Account The Use Of Efficient ML Methods For Smart Grid Energy Management...
Analysis of customers Sentiments using an Machine learning Model
Globe Is Getting More Digitalized In The Modern-day. E-commerce Is Gaining Traction In Today's Digitalized World Since It Enables Customers To Purchase Products Without Leaving Their Homes. As More Customers Rely On Online Purchases, The Va...
THROID DISEASE PREDICTION
The Main Goal Of This Project Is To Predict The Risk Of Hyperthyroid And Hypothyroid Based On Various Factors Of Individuals. Thyroid Disease Is A Common Cause Of Medical Diagnosis And Prediction, With An Onset That Is Difficult To Forecast...
ANALYSIS ON MACHINE LEARNING ALGORITHMS
The Study Of Algorithms And Statistical Models That Computer Systems Employ To Carry Out A Particular Task Without Being Explicitly Taught Is Known As Machine Learning (ML). There Are Several Daily-used Programmes That Incorporate Learning...
A SURVEY ON DATA MINING MODELS FOR CLICK-THROUGH- RATE PREDICTION
During Online Advertising Is A Multi-billion Dollar Industry That Has Served As One Of The Great Success Stories For Machine Earning. Sponsored Search Advertising, Contextual Advertising, Display Advertising, And Real-time Bidding Auctions...
HEART DISEASE PREDICTION USING MACHINE LEARNING ALGORITHM
Heart Attack Disease Is One Of The Leading Causes Of The Death Worldwide. In Today’s Common Modern Life, Deaths Due To The Heart Disease Had Become One Of Major Issues, That Roughly One Person Lost His Or Her Life Per Minute Due To Heart Il...
WATER STATUS PREDICTION USING MACHINE LEARNING
The Major Goal Of This Project Is To Use Machine Learning Techniques To Measure Water Quality. A Portability Is A Numerical Phrase That Is Used To Assess The Quality Of A Body Of Water. The Following Water Quality Parameters Were Utilized T...
LOAN PREDICTION USING MACHINE LEARNING
Loans Account For A Huge Chunk Of Bank Profits. Even Though Many Individuals Are Looking For Loans. Finding A Legitimate Candidate Who Will Return The Loan Is Difficult. Several Misunderstandings May Arise While Selecting The Real Candidate...
GENERATIVE ADVERSARIAL NETWORKS : A REVIEW
GANs Have Gained Much Attention From The Research Community In Recent Years In Terms Of Generating Quality Images And Data Augmentation. Generative Adversarial Networks (GANs) Present A Way To Learn Deep Representations Without Extensively...