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Papers tagged with "Classifier"
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...
Detection Of Fake And Irrelevant Job Postings Using Passive Aggressive Classifier
With The Rapid Growth Of Online Job Portals, The Number Of Fake And Irrelevant Job Postings Has Significantly Increased. These Fraudulent Listings Mislead Job Seekers, Waste Time, And Sometimes Lead To Financial Loss. This Paper Presents A...
Identifying Credit Card Frauds Employing Deep Learning
With Increased Internet Usage, Online Transactions Have Been On The Rise. One Of The Most Prevalent Problems Faced Is Credit Cards Frauds. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devic...
Cyber Intrusion Detection Using Machine Learning Techniques
Cyber Intrusions Are Becoming Increasingly Complex And Sophisticated, Making Them Difficult To Detect Using Conventional Rule-based And Signature-driven Security Mechanisms. The Rapid Growth Of Network Traffic And Evolving Attack Patterns D...
FAKE NEWS PREDICTION BASED ON NATURAL LANGUAGE PROCESSING(NLP) AND MACHINE LEARNING
The Rapid Dissemination Of Misinformation Across Social And Digital Media Platforms Has Created A Growing Demand For Automated Mechanisms To Detect And Prevent The Spread Of Fake News. This Paper Presents A Machine Learning–based Fake News...
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...
Comprehensive Restaurant And Food Supply Chain Solutions For Efficient Operations And Sustainability
The "Comprehensive Restaurant And Food Supply Chain Solutions" Project Is Designed To Make The Food Supply Chain For Restaurants Better And Easier To Manage. It Puts A Big Focus On Sustainability, Doing Things Efficiently, And Keeping Manag...
SPEECH EMOTION RECOGNITION
This Project Looks At How To Create An Engaging Single-player Game Stressing Smooth Controls And Real-time Interaction Developed In Unity Game Engine. A Responsive Gaming Experience Is Possible For Players Who Can Move Smoothly Between Vari...
Adaptive Traffic Lights Control Using IoT And Image Processing
Urban Traffic Congestion Has Become One Of The Major Issues In Modern Cities. As City Populations Grow And Vehicle Usage Increases, Existing Road Systems Struggle To Manage The Traffic Load Effectively. This Results In Long Delays, Energy W...
Project Sentry: Project Manager With AI Based Duplicate Topic Detection
With The Increasing Volume Of Final-year Project Sub- Missions In Educational Institutions, Ensuring The Uniqueness And Originality Of Student Work Has Become A Pressing Issue. Duplicate Project Topics Compromise Innovation And Create Chall...
Feature Engineering Based Human Brain Stroke Symptoms Prediction Using Machine Learning
Brain Stroke Is A Serious Health Issue That Requires Timely And Accurate Prediction For Effective Treatment And Prevention. This Study Described A Hybrid System That Used The Best Feature Selection Method And Classifier To Predict Brain Str...
"MIND LIFT" - PERSONAL THERAPIST
Facial Expression Recognition (FER) Is One Of The Most Popular Research Interests In Computer Science And Can Be Applied In Many Real Time Applications. Most Of The FER Systems Apply Machine Learning Techniques Such As Convolutional Neural...
A SURVEY PAPER ON MECHANISM FOR DETECTING BOTS IN TWITTER
The Use Of Bots In Social Media Raises Serious Concerns About The Legitimacy And Authenticity Of Content. There Are Now Various Bot Detecting Solutions Available. However, The Detection Accuracy Still Needs To Be Improved. The Main Goal Of...
BITCOIN HEIST RANSOMWARE ATTACK PREDICTION USING MACHINE LEARNING
Bitcoin Is A Cryptocurrency, Or Digital Asset, That Operates Like Real Money And Can Be Used To Make Payments Without Being Controlled By Any One Person, Organisation, Or Other Entity. As A Result, It Eliminates The Need For Third Parties T...
HEART DISEASE PREDICTION USING DEEP LEARNING TECHNIQUES
The Term "heart Disease" Refers To Several Types Of Heart Conditions. The Most Common Type Of Heart Disease In The United States Is Coronary Artery Disease (CAD), Which Affects The Blood Flow To The Heart. Decreased Blood Flow Can Cause A H...