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Papers tagged with "Do"
AI-Powered Intelligent Framework For Detection And Prevention Of Cybersecurity Attacks Using Machine Learning Algorithms
The Rapid Growth Of Digital Technologies Has Substantially Increased Exposure To Cybersecurity Threats Including Malware, Phishing, Ransomware, And Unauthorized Network Intrusions. Traditional Signature-based Security Systems Are Inherently...
Mental Health Awareness And Support Systems For Youth- A Survey Based Analysis
Mental Health Has Become A Big Worry For Young People Today, Especially Because Of Fast Changes In Technology, Tough School Competition, High Expectations From Society, And New Ways Of Living. Teenage Years And The Early Years Of Adulthood...
Smart Mobile Healthcare Application With Secure Medical Record Management And Real-Time Patient-Doctor Communication
The Smart Mobile Application Is An Advanced Digital Platform Developed To Streamline Communication And Service Management Between Patients And Doctors Through A Secure And User Friendly Mobile Environment. The System Is Designed With Two Pr...
AI-BASED PREDICTIVE MODELING FOR CLASSIFICATION OF FETAL HEALTH CONDITIONS
Fetal Health Assessment Is A Critical Component Of Prenatal Care, Directly Influencing The Safety And Outcomes Of Both Mother And Fetus During Pregnancy. Conventional Diagnostic Approaches, Which Rely Heavily On Manual Interpretation Of Car...
Copy-Move Image Forgery Detection Using SIFT Algorithm With Tampered Region Localization For Digital Image Authentication
The Rapid Proliferation Of Digital Content Creation Tools, Artificial Intelligence Platforms, And Advanced Image Editing Software Has Significantly Increased The Risk Of Digital Forgery In Images, Documents, And AI-generated Media. Traditio...
SMART USED VEHICLE PRICE PREDICTION AND MARKET SYSTEM
The Used Vehicle Market Has Experi- Enced Significant Growth In Recent Years, Making It Challenging For Buyers And Sellers To Determine Accurate Vehicle Prices. Traditional Pricing Meth- Ods Often Rely On Personal Judgment, Which May Lead T...
REAL –TIME AI INTRUSION DETECTION SYSTEM USING MACHINE LEARNING
The Relentless Escalation Of Cyber Threats In Contemporary Network Environments Has Necessitated A Fundamental Rethinking Of Intrusion Detection Methodologies. Traditional Signature-based Systems, While Once Sufficient, Have Proven Structur...
Wi-Fi Transmission & Voice Control Using Server Domain For Pickup And Place Robotic Arm Vehicle
This Paper Presents A Comprehensive Design And Implementation Of A Wi-Fi Transmission And Voice-Controlled Pickup And Place Robotic Arm Vehicle. The System Leverages An ESP8266 Microcontroller As The Master Control Unit (MCU), A Node.js Ser...
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,...
Hybrid Adaptive Sampling With Risk-Based Credit Card Fraud Detection (HAS-RFD)
Credit Card Fraud Has Become A Significant Challenge In The Digital Economy, Resulting In Substantial Financial Losses And Reduced Trust In Online Transactions. This Paper Presents A Hybrid Adaptive Sampling With Risk-Based Fraud Detection...
DESIGN AND FABRICATION OF 3D PRINTED ELLEPTICAL TRAMMEL MECHANISM
This Project Explores The Design And Fabrication Of An Elliptical Trammel (Trammel Of Archimedes) Using Fused Deposition Modeling (FDM) To Demonstrate The Inversion Of A Double Slider-crank Chain. The Mechanism, Which Translates Constrained...
Design And Fabrication Of Pick And Place Robot
Industrial Automation Has Become An Important Part Of Modern Manufacturing Systems To Improve Productivity, Precision, And Efficiency. This Paper Presents The Design And Fabrication Of A 5-Degree Of Freedom (5-DOF) Robotic Arm For Pick-and-...
ENHANCED GASTROINTESTINAL DISEASE DETECTION USING RESNET50: A COMPARATIVE STUDY OF DEEP LEARNING ARCHITECTURES FOR MEDICAL IMAGE CLASSIFICATION
Gastrointestinal (GI) Diseases Such As Polyps, Ulcers, And Tumors Require Early Detection For Effective Treatment. Traditional Manual Inspection Of Endoscopy Images Is Timeconsuming And Prone To Human Error. This Project Proposes An AIbased...
RANDOM FOREST REGRESSION APPROACH FOR CROP YIELD ESTIMATION USING SENTINEL- 1 SAR, LULC, CLIMATE DATA
Crop Yield Estimation Plays A Major Role In Agricultural Planning And Food Security. Traditional Methods Of Crop Yield Estimation Are Time-consuming And Require Extensive Field Surveys. This Study Focuses On Estimating Rice Crop Yield Using...
Multimodal AI-Driven Telehealth Platform For Emotion-Aware Diagnosis And Personalized Specialist Recommendation
Telehealth Systems Have Significantly Improved Access To Medical Consultation, Especially For Patients In Remote Areas. However, Existing Systems Often Lack The Ability To Interpret Patient Emotions And Provide Personalized Doctor Recommend...