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Papers tagged with "Cla"
A STUDY ON COMPARATIVE ANALYSIS OF PRADHAN MANTRI JEEVAN JYOTI BIMA YOJANA AND PRADHAN MANTRI SURAKSHA BIMA YOJANA IN PUDUCHERRY GRAMA BANK IN PUDUCHERRY
This Study Compares The Performance Of The Pradhan Mantri Jeevan Jyoti Bima Yojana (PMJJBY) And The Pradhan Mantri Suraksha Bima Yojana (PMSBY) Implemented Through Puducherry Grama Bank From 2020 To 2024. Using Secondary Data From Bank Reco...
Handwritten Digit Recognition Using Convolutional Neural Networks (CNN) On The MNIST Dataset
Handwritten Digit Recognition Is Crucial In Various Automated Tasks Like Financial Verification, Postal Sorting, And Digital Form Processing, Where Correctly Understanding Handwritten Numbers Is Key. This Study Looks At How Well Convolution...
Enhanced Deepfake Detection Using Preprocessed Video Frames And Convolution Neural Networks
Digital Security And Authenticity Are Being Threatened By Deepfake Technology, Which Is Powered By Sophisticated Generative Models. A Convolutional Neural Network (CNN) Model Trained On Facial Data Taken From Video Frames Is Used In This St...
AI-BASED CRIME REPORTING AND PATTERN ANALYSIS SYSTEM
In The Modern Era Of Digital Law Enforcement, Efficient Crime Reporting And Pattern Analysis Play A Vital Role In Public Safety And Resource Optimization. However, Traditional Crime Reporting Systems Suffer From Manual Processing Delays, In...
FAKE NEWS PREDICTION BASED ON NATURAL LANGUAGE PROCESSING(NLP) AND MACHINE LEARNING
The Rapid Dissemination Of Misinformation Across Social And Digital Media Platforms Has Created A Growing Demand For Automated Mechanisms To Detect And Prevent The Spread Of Fake News. This Paper Presents A Machine Learning–based Fake News...
The Role Of Image Recognition In Modern Archaeology
This Study Presents An Intelligent AI-based Image Recognition System Designed To Assist Archaeologists In The Identification And Classification Of Artifacts From Excavation Sites And Museum Archives. Traditional Archaeological Analysis Is T...
A Brief HPLC Study On Dorzolamide Hydrochloride
The Main Idea Is To Develop And Validate A Fast, Sensitive, And Accurate Reversed-phase High-performance Liquid Chromatography (RP-HPLC) Method For The Quantitative Determination Of Dorzolamide Hydrochloride (a Carbonic Anhydrase Inhibitor...
Recognition Of Fraudulent Job Advertisements Using A Machine Learning Framework
The Rapid Growth Of Online Job Markets Has Led To A Rise In Fraudulent Postings, Causing Financial And Emotional Harm To Job Seekers. This Study Introduces An Intelligent Fraud Detection System Using Ensemble Machine Learning And NLP To Aut...
RETRO MART(AI-Driven Platform For Affordable Smartphones)
In An Era Where Sustainability And Affordability Are Becoming Essential Consumer Priorities, Refurbished Smartphones Offer An Eco-friendly And Cost-effective Alternative To Traditional Retail Purchases. However, Most Existing Resale Platfor...
Intelligent SMS Spam Filtering Under Adversarial Conditions Using Random Forests
The Growing Volume Of Unsolicited And Deceptive SMS Messages Poses A Critical Threat To Mobile Users, Necessitating The Development Of Accurate And Resilient Spam Detection Systems. While Machine Learning (ML)-based Models Have Been Widely...
Sentimental Comment Analyzer
In The Digital Age, Social Media Platforms Like YouTube Have Become Central To Online Interaction, With Vast Amounts Of User-generated Content That Reflect Diverse Opinions, Feedback, And Sentiments. Analyzing This Content Offers Powerful I...
A Study On Consumer Buying Behaviour Towards The Online Grocery App's
The Rapid Growth Of E-commerce And Increasing Internet Penetration Have Led To A Significant Shift In Consumer Shopping Habits, With A Notable Rise In Online Grocery Shopping. The Research Was Conducted To Understand The Key Drivers And Cha...
Deep Learning – Based Intelligent System For Printed Circuit Board Defect Identification
In The Fast-paced Electronics Manufacturing Industry, Ensuring Printed Circuit Board (PCB) Quality Is Vital For Producing Reliable, High-performance Devices. Traditional Methods Like Manual Inspection And Rule-based Vision Struggle With Sma...
Fraud Detection And Analysis For Insurance Claims Using Machine Learning
Insurance Fraud, Particularly In Claim Processing, Results In Billions Of Dollars In Losses Annually For Companies Worldwide. Manual And Rule-based Detection Mechanisms Are Often Inefficient In Detecting Sophisticated Fraud Schemes. This St...
A Review On Machine Learning Based Models For Identifying Potential Adversarial And Poisoning Attacks
Machine Learning (ML) Has Revolutionized Data-driven Decision-making Across Sectors Such As Healthcare, Finance, Defense, And Cybersecurity. However, As Its Influence Grows, So Does Its Vulnerability To Adversarial And Poisoning Attacks. Ad...