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Papers tagged with "Machine Learning"
MALICIOUS SOCIAL BOT USING TWITTER NETWORK ANALYSIS IN DJANGO
Malicious Social Bots Generate Fake Tweets And Automate Their Social Relationships Either By Pretending Like A Follower Or By Creating Multiple Fake Accounts With Malicious Activities. Moreover, Malicious Social Bots Post Shortened Maliciou...
Flight Delays Prediction
Flight Delay Prediction Remains A Significant Challenge In Modern Air Transportation Management. This Paper Presents A Comparative Analysis Of Machine Learning Approaches—including Classification-based, Ensemble-based, And Hybrid Predictive...
CAR PRICE PREDICTOR: UNLOCKING INSIGHTS FOR USED CAR BUYERS AND SELLER
The Automotive Industry Is Witnessing A Paradigm Shift With The Increasing Demand For Used Cars. As Consumers Explore Cost-effective And Sustainable Transportation Options, The Valuation Of Used Cars Becomes A Critical Aspect Of The Buying...
YOUTUBE VIDEO SUMMARIZER USING MACHINE LEARNING
The Exponential Growth Of Video Content Platforms Like YouTube Pose Challenges For Users In Accessing And Consuming Relevant Content Efficiently. To Tackle This Issue, The Proposed System Applies Machine Learning And Natural Language Proces...
OpenAI Academy: Democratizing AI Education For All
Technology, Skills, And Knowledge Are The Three Essential Tools Of The Modern Era That Enable Progress. These Elements Are Crucial In Higher Education, Research, And Business. Technology Is Widely Used Today, Efforts Are Being Made To Enhan...
PREDDICTIVE RESIDUAL ENERGY IN BATTERIES USING MACHINE LEARNING
The Increasing Reliance On Battery-powered Systems In Renewable Energy And Electric Vehicle Applications Necessitates Accurate Estimation Of Battery Residual Energy For Efficient Power Management. This Project Presents A Smart Battery Monit...
PREDICTION OF CHRONIC KIDNEY DISEASE USING MACHINE LEARNING TECHNIQUES
More Persons With Advanced Stages Of Renal Illness Are Diagnosed Each Year.Deteriorating Kidney Function Over Time Is A Hallmark Of Chronic Kidney Disease, Also Known As Renal Disease. People Are More Likely To Be Examined For Chronic Kidne...
Deep Learning – Based Fake News Classification With Android App Integration
Fake News And Spam Emails Present Critical Challenges To The Digital World, Impacting Societal Trust And Cybersecurity. This Design Proposes A Scalable Android- Rested Operation That Employs Advanced Deep Knowledge Approaches For Identifyin...
AI Based Neural Network Model For Stroke Prediction
Many Individuals Encounter Situations Where They Need Basic Legal Information And Guidance. However, Obtaining Professional Legal Advice Can Be Prohibitively Expensive, Especially For Minor Issues Or General Inquiries. As Technology Continu...
Brain Tumer Detection Using Machine Learning
Brain Tumors Result From The Abnormal And Uncontrolled Growth Of Cells. If Left Untreated During The Early Stages, They Can Become Life-threatening. Although Numerous Significant Advancements Have Been Achieved In This Field, Ensuring Accur...
Agriculture Management System Using Machine Learning
The Agriculture Management System (AMS) Is A Smart, Machine Learning-based Platform That Assists Farmers In Making Data-driven Decisions For Crop Selection, Fertilizer Use, Irrigation Planning, And Yield Estimation. It Analyzes Key Factors...
Agricultural Crop Recommendation Based On Productivity
Agriculture Is The Backbone Of The Indian Economy. Farmers Often Struggle To Achieve Expected Crop Yields Due To Factors Like Unpredictable Weather, Soil Variability, And Lack Of Advanced Forecasting Systems. This Paper Presents A Machine L...
Early Detection Of Agoraphobia Using ML Algorithm
Agoraphobia Is Frequently Overlooked Due To Low Mindfulness And Vacillation In Seeking Help. This Design Implements A Machine Literacy- Grounded System For Early Discovery Using Responses From A 10- Question Dataset. After Applying Mode Ins...
Vehicle Insurance Fraud Detection System
Concern Over Insurance Fraud In The Machine Sedulity Is Growing, As It Can Affect In Significant Financial Losses And Advanced Decorations For Law- Abiding Policyholders. This Study Offers A Machine Knowledge- Predicated System For Further...
Predicting Bankruptcy With Precision: Insights From Hybrid Machine Learning Models On Unbalanced Polish Financial Data
Bankruptcy Prediction Is A Critical Area In Financial Risk Assessment, Supporting Timely Decisions For Investors, Regulators, And Institutions. This Study Presents A Comparative Analysis Of Multiple Machine Learning Models, Including Tradit...