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Papers tagged with "Ct"
Speech Stress Detection In Marathi And SUSAS Databases Using Weight-Optimized Neural Networks
Stress Profoundly Alters Human Cognitive And Physiological States, Making Early And Automated Detection A Critical Technological Goal [1]. This Study Presents A Streamlined Speech Emotion Recognition (SER) System Engineered For Accurate Str...
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...
AI BASED WIRELESS CHARGING STATION FOR ELECTRICAL VEHICLE
As The Production Of Electric Vehicles (EVs) Has Significantly Increased In Recent Years, Driven By The Need To Reduce Carbon Emissions And Promote Environmentally Friendly Transportation. This Transition From Traditional Internal Combustio...
An Optimized Neuro Fuzzy System For Predictive Maintenance For Smart Manufacturing Systems
Smart Manufacturing Systems Represent The Modern Evolution Of Industrial Automation Where Machines, Sensors, Communication Technologies, And Intelligent Algorithms Work Together To Improve Productivity And Operational Efficiency. Industries...
Smart Traffic Management System: An AI-Powered IoT Framework For Urban Mobility Optimization
Urban Traffic Congestion Imposes Significant Economic, Environmental, And Social Burdens On Modern Cities. Traditional Fixed-timing Traffic Control Systems Lack The Adaptability To Handle Dynamic Traffic Flows, Resulting In Inefficiencies,...
Analysing Structural Failure Of Bridges Employing Bridge Parameters And Stochastic Modelling
Structural Failure In Pertaining To Bridges Is Extremely Challenging To Assess.. Stochastic And Statistical Computing Is Being Explored To Derive Conclusive Decisions Where Human Intervention Is Difficult In Time And Resource Constrained Si...
IoT-Based Smart Bike And Helmet System For Automatic Accident Detection And Emergency Alert
R Two-wheeler Accidents Often Prove Fatal Because Victims Cannot Call For Help After A Crash. Existing Approaches Such As Manual Reporting, Mobile-based Crash Apps, GPS Trackers, And Basic Helmet Sensors Are Unreliable When The Rider Is Unc...
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...
Predictive Power Machine Learning Models For Machine Failure Status
Predictive Maintenance Has Emerged As A Cornerstone For Maximizing Operational Efficiency And Minimizing Unexpected Machine Breakdowns In Industrial Environments. This Paper Presents An Integrated End-to-end Machine Learning Framework For F...
ContribuX: A Creator Support And Funding Platform Using Secure Digital Payments
This Paper Presents The Design, Architecture, And Full-stack Implementation Of ContribuX, A Web-based Creator Support And Funding Platform That Enables Project Creators To Raise Funds From Contributors Using Secure Digital Payment Infrastru...
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...
AI-Enhanced Centralized Knowledge Sharing Platform For College Students
For New Batches Of Students Who Are Often Con-fused With Their Respective Admissions And Placements, Existing Digital Platforms Do Not Always Relate To Relevance And Often Appear Vague. Legacy Campus Search Engines Are Built On Simple Keywo...
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...