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Papers tagged with "Ser"
Secure And Scalable Restful Banking System Using Spring Boot Framework
This Project Shows How To Design And Build A Secure, High-performance Online Banking REST API With Spring Boot 3.x. The System Uses A Microservices Architecture To Make It Easier To Scale And Maintain. OAuth 2.0, OpenID Connect, And JWT-bas...
DPDP Compliance Tool
This Project Presents The Design And Development Of A DPDP Compliance Tool Aimed At Helping Organizations Manage Personal Data In Accordance With The Digital Personal Data Protection Act, 2023. With Increasing Concerns Over Data Privacy, Or...
Privacy-Preserving Multiple Payment Fraud Detection Using LSTM-based Federated Learning.
This Paper Presents A Privacy-preserving Framework For Multiple Payment Fraud Detection Using Long Short-Term Memory (LSTM) And Federated Learning. The Model Captures Temporal Patterns In Transaction Data To Identify Fraudulent Activities E...
A PRIVACY-ENHANCED CRYPTO-BIOMETRIC AUTHENTICATION FRAMEWORK
Airport Authority Systems Demand The Highest Levels Of Security For Controlling Access To Restricted Zones, Yet Traditional Authentication Mechanisms Based On Identity Cards, PINs, And Passwords Remain Inherently Susceptible To Theft, Forge...
An Intelligent Context-Aware Web Browser For Assisted Research
Modern Web Browsers Are Optimized For Content Navigation And Rendering Rather Than Information Understanding. Researchers And Students Often Rely On Multiple Browser Tabs To Gather Information, Which Leads To Cognitive Overload, Fragmented...
Mini Scada System
Supervisory Control And Data Acquisition (SCADA) Systems Are Widely Used In Industries For Monitoring And Controlling Various Processes In Real Time. However, Traditional SCADA Systems Are Expensive And Complex, Making Them Unsuitable For S...
SOLAR AND WIND-BASED SMART STREET LIGHTING WITH WIRELESS CHARGING FOR ELECTRIC VEHICLES AND POWER GENERATION USING SPEED BREAKERS
The Project “Solar And Wind-Based Smart Street Lighting With Wireless Charging For EVs And Power Generation Using Speed Breakers” Presents A Hybrid Renewable Energy System That Combines Solar, Wind, And Mechanical Energy Sources. A 12V Sola...
Smart Industrial Product Counting And Sorting Machine
In Modern Industrial Automation, Accuracy, Speed, And Reliability In Production Line Monitoring Are Critical Factors For Improving Productivity And Minimizing Human Intervention. The Smart Industrial Product Counting And Sorting System Is D...
AI-Powered Hospital Operations & Intelligence Management System
Efficient Hospital Operations Require Structured Data Management And Real-time Monitoring To Support Effective Decision-making. Traditional Hospital Systems Often Suffer From Manual Processes, Fragmented Records, And Inefficient Resource Al...
Live Cryptocurrency Market Dashboard With Machine Learning-Based Price Prediction And RSI Signal Generator
Cryptocurrency Markets Are Highly Volatile And Change Rapidly, Which Makes Price Prediction And Decision- Making Difficult For Investors. This Project Presents A Live Cryptocurrency Market Dashboard That Provides Real-time Market Visualizat...
A Review On Estimating Cloud Performance Metrics Using Machine Learning And Deep Learning Models
Data Driven Cloud Computing Model Have Resulted In Unprecedented Paradigm Shifts In Cloud Application Development. Many Applications Have Found Data Driven Cloud Computing Models Indispensable Due To The Need For High Performance Computing....
IoT-Enabled Unified Gas Safety Management System
Gas Leaks Are A Real Threat—one That Puts Lives, Property, And Industries At Constant Risk. Fires, Explosions, Toxic Exposure, Even Simple Kitchen Accidents Trace Back To Leaks That Go Unnoticed For Just A Few Minutes. The Old Ways Of Handl...
ENHANCING STOCK PRICE FORECASTING ACCURACY USING COMPOSITIONAL RNN
Predicting Stock Prices Accurately Is Essential For Making Well-informed Decisions In Erratic Financial Markets. This Paper Introduces A Compositional Deep Learning Framework For Multivariate Time-series Forecasting That Integrates Three RN...
Enhancing Data Warehouse Queries Through Intelligent Keyword Search With Privacy & Access Control
Traditional Data Warehouse Systems Require Users To Write Structured SQL Queries To Retrieve Information, Which Is Difficult For Non-technical Users. Moreover, Sensitive Organizational Data Stored In Warehouses Demands Controlled Access And...
An Intelligent Hybrid GCN-LSTM Model For Energy Stock Price Forecasting With Temporal Dynamics And Inter-Stock Correlation
Energy Sector Stock Price Prediction Is A Critical Yet Challenging Task In Financial Forecasting, Characterized By High Volatility, Non-linearity, And Complex Interdependencies Driven By Geopolitical Events, Regulatory Shifts, And Commodity...