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Papers tagged with "Data"
AQI Index Analyzer Using Machine Learning
Air Quality Index AQI Prediction Is A Critical Public Health Task That Involves Leveraging Data-driven Methods To Forecast Pollutant Concentrations And The Resulting AQI Under Dynamic Environmental And Meteorological Conditions1. This R...
Multimodal Emotion Recognition Using Visual-Text Fusion With ResNet-50 And SVM On The MELD Dataset
This Paper Presents A Multimodal Emotion Recognition Framework That Integrates Visual And Textual Modalities To Improve The Accuracy And Robustness Of Emotion Classification Systems. The Visual Modality Is Processed Using A Pre-trained ResN...
A Comparative Study Of SVD And NMF For Semantic Text Clustering Using KMeans
The Exponential Growth Of Unstructured Text Data, Such As News Articles, Social Media Posts, And Online Discussions, Has Created The Need For Effective Methods Of Semantic Organisation. Text Clustering Plays A Vital Role In This Context By...
Research Paper On Design And Implementation Of An Online Prison Management System
This Project Titled “Design And Implementation Of An Online Prison Management System” Is Built In In The View Of Providing Management Software For Handling The Inner Working Of Any Small Jail Across The Country. Since Most Popular Jail In N...
IoT Scanner For Securing Connected Assets In Smart Systems
The Rapid Rise Of Smart Infrastructure Has Brought With It A Surge In Connected IoT Devices Across Offices, Industries, And Public Spaces. This Connectivity Improves Efficiency, But It Also Widens The Door For Misuse, Cyberattacks, And Over...
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...
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...
E-COMMERCE PRICE COMPARISON SYSTEM
In The Fast-paced Electronics Manufacturing Industry, En This Project Presents An E-Commerce Price Comparison System Designed To Help Users Identify The Best Prices For Products Across Multiple Online Shopping Platforms. The System Collects...
Designing Hyperlocal Dark Store Locations: A Spatial Analysis Of Tier-1 And Tier-2 Indian Cities
The Indian Quick Commerce (Hyperlocal Delivery) Market Is Undergoing Explosive Growth, Reshaping The Nation's Urban Retail Landscape. This Transformation Is Architected Around The Hyperlocal Dark Store, A Micro-fulfillment Center Pivotal Fo...
Leveraging Machine Learning Based Regression Analysis To Estimate Customer Churn
Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...
A Systematic Review Of Student Data Privacy In Web-Based Lecture Delivery Module In Tertiary Institutions In Kogi State Central
With The Growing Reliance On Web-based Delivery Platforms In Tertiary Education, Concerns Around Student Data Privacy Have Become Increasingly Prominent. This Study Presents A Systematic Review Of Literature Related To Data Privacy In Educa...
Comprehensive Empirical And Analytical Investigation Of Ramanujan's Tau Function Via Deep Learning And Computational Methods
Ramanujan's Tau Function, τ(n), Defined By The Fourier Coefficients Of The Modular Discriminant Δ(q), Is A Cornerstone In Analytic Number Theory. While Its Fundamental Multiplicative And Recursive Properties Are Well-established, Deeper Que...
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 Conceptual Study On Structural Audit Practices For Bungalows Using NDT Methods
This Study Presents A Conceptual Analysis Of Structural Audit Practices For Bungalows Using Non-Destructive Testing (NDT) Methods. Structural Health Monitoring (SHM) Plays A Crucial Role In Assessing The Integrity Of Buildings By Detecting...
INTEGRATED SHOOL PORTAL FOR ADMIN CONTROL AND PUBLIC WEBSITE
The School Website And Admin Portal Project Aims To Provide An Integrated Digital Platform For Educational Institutions To Manage And Present School-related Information Efficiently. The System Consists Of Two Key Components: A Publicfacing...