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Papers tagged with "Is"
COMPARATIVE STUDY ON THE STRUCTURAL PERFORMANCE OF M25 AND M30 GRADE CONCRETE WITH INDUSTRIAL SLAG AND SISAL FIBER INTEGRATION
The Rapid Growth Of The Construction Sector Has Intensified The Demand For Sustainable Alternatives To Natural Aggregates And Traditional Concrete Additives. This Experimental Study Evaluates The Structural Feasibility Of Incorporating Iron...
Enhanced Decentralised Cybersecurity For Medical Data Sharing Using Digital Signature
N Infrastructure Build In The Edge Computing Platform Which Is Reliable To Challenge The Commercial And Non-commercial IT Development Communities Of Data Streams In High Dimensional Data Cluster Modeling. This Project Research Is Mainly F...
Live Auction System For Farm Fresh Products: A Localized Web- Based Platform For Transparent Agricultural Trade
- The Live Auction System For Farm Fresh Products Is A Web-based Platform Developed To Modernize Agricultural Trading Through Real-time Online Bidding. Traditional Agricultural Markets Are Often Inefficient, Geographically Restricted, And D...
SMART TOUCH-BASED ASSISTIVE COMMUNICATION GLOVE FOR SPEECH-IMPAIRED PATIENTS
This Project Presents A Modified And Improved Version Of A Wearable Communication Glove Designed For Speech-impaired Individuals. An Existing Gesture-glove Concept Was Analyzed And Redesigned To Improve Reliability, Usability, And Healthcar...
Intelligent Learning Outcome Prediction Using Machine Learning Techniques
Student Performance Prediction Is An Important Application Of Educational Data Mining That Helps Institutions Identify Students Who May Require Academic Support At An Early Stage. This Study Proposes A Classification-based Approach To Predi...
ADVANCING SPEECH EMOTION RECOGNITION VIA SEMANTIC AND PARALINGUISTIC FEATURE FUSION
Speech Emotion Recognition Is An Essential Component For Applications Like Education And Human-computer Interaction [1]. While Deep Neural Networks (DNNs) Have Advanced The Field, Many Studies Ignore The Semantic Information Present Within...
Hybrid Machine Learning Model For Multi-Diseases Diagnosis
Co-occurring Chronic Conditions And Complex Multi-disease Pathologies Represent An Escalating Global Public Health And Socioeconomic Crisis. In Rapidly Growing Urban Patient Populations, Overlaps Between Metabolic, Cardiovascular, And Neuro...
BIKE PRICE PREDICTION SYSTEM USING MACHINE LEARNING
The Valuation Of Used Consumer Assets, Particularly Pre-owned Two-wheeled Vehicles, Remains A Major Secondary-market And Socioeconomic Challenge. In Rapidly Developing Urban Transport Ecosystems, Frequent Fluctuations In Marketplace Deman...
COMPARATIVE ANALYSIS OF MACHINE LEARNING MODELS OF DIABETES PREDICTION
The Diabetes Mellitus Is One Of The Fastest-growing Chronic Health Conditions Globally, Affecting Hundreds Of Millions Of Individuals And Imposing Significant Burdens On Healthcare Systems Worldwide. Early Identification Of At-risk Indiv...
Smart City Traveler - Trip Together
Smart City Traveller–TripTogether Is An Intelligent Travel Assistance Platform Designed To Improve Urban Travel Through GPS Navigation, IoT-enabled Infrastructure, Real-time Traffic Monitoring, Public Transport Information, Weather Updates,...
AI-Powered Diagnosis Of Vision-Threatening Ocular Conditions Using Clinical Data Analytics
Vision-threatening Ocular Diseases Such As Diabetic Retinopathy, Glaucoma, Cataract, Age-related Macular Degeneration (AMD), Hypertensive Retinopathy And Pathological Myopia Are Leading Causes Of Preventable Blindness Worldwide. Conventiona...
A STUDY OF CUSTOMER PREFERENCES IN LENSKART
The Indian Eyewear Retail Sector Has Witnessed Rapid Transformation Driven By Digital Innovation, Shifting Consumer Lifestyles, And The Emergence Of Omnichannel Retail Models. This Paper Investigates Customer Preferences In The Indian Eyewe...
A Skin-Type Adaptive Ingredient Scoring Framework For Comparative Evaluation Of Cosmetic Products
The Need For Cosmetic Products Has Gone Up, So There's More Focus On Being Clear About What's In Them And Making Sure They're Safe. Many Products Say They Work For Different Skin Types, But People Usually Choose Them Based On Brand And Ads...
Hybrid Graph Attention And Temporal Deep Learning Framework For Early Prediction Of Cervical Cancer Risk
Cervical Cancer Remains One Of The Leading Causes Of Cancer-related Deaths Among Women Worldwide. Early Identification Of High-risk Individuals Is Essential For Timely Intervention And Improved Survival Rates. Traditional Machine Learning A...
AGRINOVA APPLICATION USING AIML
Agriculture Is Very Important In The Economic Development And Food Security Of Most Nations, However, It Has Been Experiencing Major Threats Like Fluctuating Weather, Crop Infections And Lack Of Accessibility To Professional Agricultural Ad...