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A Chaotic Framework For Image Encryption In Transform Domain
Off Late Conventional Image Data Hiding And Encryption Mechanisms Have Seen A Shift Towards Homomorphic Images Which Can Be Thought Of Being Created From A Constant Illumination And A Varying Reflectance. In This Proposed Work, The Fresnel...
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...
Brain Tumor Disease Detection Using Federated Learning With FedAvg
Federated Learning (FL) Has Emerged As A Critical Paradigm For Collaborative Model Training In Privacy-constrained Domains, Particularly In Healthcare. This Study Presents A Comprehensive FedAvg-based Framework For Brain Tumor Detection Fro...
Smart Canteen System Using AI, Real-Time Analytics, And Cashless Integration
The Smart Canteen System Is An Advanced Solution Designed To Digitize And Optimize The Operations Of Traditional Canteens By Integrating Modern Technologies. It Enhances Customer Convenience And Staff Efficiency Through Features Such As QR...
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...
Secure Authentication Frame Work With Edge Computing For Real Time Patient Health Monitoring In Iomt
As Healthcare Increasingly Embraces Cloud-based Technologies, It Faces Critical Issues Such As Transmission Delays And Heightened Security Risks Due To Centralized Data Storage. Traditional Cloud Setups Often Fall Short In Delivering Real-t...
AN ANALYSIS OF DYNAMIC PRICING STRATEGIES IN THE DIGITAL AGE
Dynamic Pricing Has Become A Cornerstone Strategy In The Digital Marketplace, Allowing Businesses To Adjust Prices In Real Time Based On Factors Like Demand, Competition, And Consumer Behavior. This Approach Leverages Advanced Data Analytic...
The Freelance Hub: A Decentralized AI-Powered Platform For Freelancers
Freelancing Has Become A Dominant Work Model, Yet Existing Platforms Suffer From Highcommission Fees, Trust Issues, And Payment Delays. This Paper Presents Freelance Hub, A Decentralized AI- Powered Freelancing Platform Integrating Block Ch...
Predictive Breast Cancer Modeling Using Machine Learning
Breast Cancer Is A Form Of Tumor That Develops Within Breast Tissues And Remains The Most Prevalent Cancer Among Women Globally, Ranking As One Of The Leading Causes Of Female Mortality. This Survey Examines The Evolving Landscape Of Predic...
Evidence Management System Using Blockchain
The Study Suggests A Decentralised Evidence Management System That Uses Distributed Storage And Blockchain Technology To Protect, Authenticate, And Expedite The Lifetime Of Digital Forensic Evidence. This Solution Fixes Flaws That Can Jeopa...
Development Of An Electric Vehicle Real-Time Monitoring System And SQL Logging Using LabVIEW
The Progress In Electric Vehicle (EV) Technology Offers A Considerable Opportunity For Environmentally Friendly Transportation Solutions. This Research Focuses On Creating An Integrated Electric Vehicle Control And Monitoring System Using L...
CaseVault: A Blockchain-Based Investigation And Criminal Record Management System
The Secure And Efficient Management Of Criminal Records Is Fundamental To The Functioning Of Contemporary Law Enforcement Agencies. Traditional Approaches, Often Reliant On Paper-based Documentation Or Disjointed Digital Systems, Frequently...
Predicting Levels Of Damages To Buildings Caused By Earthquake
Earthquakes Are Among The Most Devastating Natural Disasters, Causing Extensive Damage To Infrastructure And Posing Severe Threats To Human Life. Predicting The Level Of Building Damage Resulting From An Earthquake Can Greatly Enhance Disas...
PREDICTING ACADEMIC ACHIEVEMENT USING MACHINE LEARNING
Predicting Academic Achievement Using Machine Learning Plays A Significant Role In Shaping A Student’s Future Educational And Career Opportunities. In This Study, We Propose A Machine Learning-based System To Predict Student Academic Achiev...
Student Feedback Management
This Digital Platform Creates An Effective Communication Channel Between Students And Academic Leaders, Specifically Heads Of Departments (HODs). It Establishes An Environment Of Constant Progress That Raises Educational Standards, Improves...