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Papers tagged with "Earning"
A Review On Statistical Models For Estimating Damages On Bridges To Transportation Safety
With Rapid Advances In Statistical Modelling And Data Analysis, Analysis Of Bridge Failure And Damage Is Also Being Considered Under The Purview Of Statistical Models. It Is Ubiquitous That Manual Inspection Of Bridge Damage And Estimations...
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...
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...
Grozo: An AI-Powered Online Grocery Delivery System
Widespread Smartphone Adoption And Ubiquitous High-speed Connectivity Have Collectively Reshaped How Consumers Discover And Purchase Goods, Driving Sustained Migration Toward Digital Retail Channels Across All Product Categories. The Grocer...
Food Vision: AI- Based Food Detection And Calorie Estimation Using YOLOv8
The Growing Interest In Healthy Eating And Nutritional Tracking Has Led To A Need For Smart Systems That Can Automatically Identify Food Items And Estimate Their Calorie Content. Traditional Calorie Tracking Apps Rely Heavily On Manual User...
AI Based Virtual Try On System Using DL
The Proliferation Of E-commerce Has Fundamentally Altered Consumer Purchasing Behaviour, Yet A Persistent Challenge Remains: The Inability To Physically Try On Garments Before Purchase. This Paper Presents A Virtual Clothing Try-On (VCTO) S...
AIML-Based Quality Assurance System For Agricultural Products Using Tensorflow
Agricultural Product Quality Assessment Plays A Critical Role In The Global Food Supply Chain, Directly Impacting Market Pricing, Consumer Safety, And Post-harvest Optimization. Traditional Methods Rely Heavily On Human Vision And Manual So...
PermissionShield: A Hybrid Static And Dynamic Analysis Approach For Android Permission Misuse Detection
The Rapid Growth Of Android Applications Has Increased Concerns Regarding Excessive And Unjustified Permission Usage, Which Can Lead To Privacy Breaches, Data Leakage, And Unauthorized Access To Sensitive Resources. Existing Android Securit...
A Novel Token-Wise Asymmetric Contrastive Learning For Robust Face Presentation Attack Detection
Face Recognition Systems Have Become A Fundamental Component Of Modern Biometric Authentication. However, These Systems Remain Vulnerable To Presentation Attacks Such As Printed Photographs, Replay Videos, Masks, And AI-generated Deepfakes....
Role Of Digital Learning Platforms In Improving Education Access: A Multi-Regional Analysis Of Rural Barriers
The Rapid Evolution Of Digital Learning Has Trans-formed The Educational Landscape, Yet Profound Disparities Remain Between Urban And Rural Sectors. This Paper Ana-lyzes The Efficacy Of Digital Platforms In Bridging The Educa-tional Gap, Sp...
Online Educational Management System: A Hybrid Web-Based Platform For Academic And Administrative Automation
This Paper Presents The Design And Implementation Of The Online Educational Management System (OEMS), A Comprehensive Web-based Platform Developed To Address The Limitations Of Conventional, Manual-driven Educational Administration. The Sys...
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...
Smart Fire Prevention And Suppression Using IoT And Deep Learning
This Paper Presents An IoT And Deep Learning-based Smart Fire Prevention And Suppression System Designed To Improve Fire Safety And Emergency Response Efficiency. Traditional Fire Detection Systems Rely Mainly On Smoke Detectors And Manual...
Cloud-Based Diabetes Monitoring And Healthcare Management System Using Machine Learning
The Cloud-Based Diabetes Management System Using Machine Learning Is A Smart Healthcare Application That Helps Monitor And Manage Diabetes Efficiently. It Allows Patients To Register Online, Upload Health Data, Book Appointments, And View R...
AI Trust & Performance Evaluation Platform (AI-TPEP)
AI-TPEP (AI Trust & Performance Evaluation Platform) Is A Modular And Reproducible Framework For Comprehensive Evaluation Of Machine Learning Systems Across Key Trust Dimensions, Including Predictive Performance, Calibration, Fairness, Robu...