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Papers tagged with "If"
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...
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...
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...
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...
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...
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...
A Review On Statistical Models For Anomaly Detection Using Metro Turnout Data
Metro Railway Systems Are Among The Most Important Modes Of Urban Transportation, Providing Safe, Reliable, And Efficient Mobility For Millions Of Passengers Every Day. One Of The Most Critical Components Of A Metro Railway Network Is The T...
AI Cardiologist: Advancements In Supervised Learning For Heart Disease Prediction
Cardiovascular Disease (CVD) Continues To Pose A Significant Global Health Challenge, Demanding Innovative Approaches For Early Detection And Prevention. This Paper Presents An AI Cardiologist System That Leverages Supervised Machine Learni...
ROLE OF MANAGEMENT POLICIES IN IMPROVING WORK-LIFE BALANCE OF FACTORY WORKERS
Work-life Balance Has Emerged As A Critical Concern In Modern Manufacturing Organizations Due To Its Impact On Employee Well-being, Job Satisfaction, And Organizational Productivity. Factory Workers Often Face Challenges Such As Shift Work,...
Food Vision: AI- Based Food Detection And Calorie Estimation Using YOLOv8
The Growing Interest In Healthy Eating And Nutritional Tracking Has Led To A Need For Smart Systems That Can Automatically Identify Food Items And Estimate Their Calorie Content. Traditional Calorie Tracking Apps Rely Heavily On Manual User...
Cryptographic Requirements Of Verifiable Credentials For Digital Identification Documents.
Digital Identity Verification Is A Critical Requirement In Modern E-governance And Passport Management Systems. Traditional Passport Verification Methods Suffer From Manual Delays, Identity Fraud, And Unauthorized Access Vulnerabilities. Th...
Optimisation Of A Biogas Plant For Enhanced Biogas Production And Methane Concentration
An Increase In The World’s Demand For Renewable/sustainable Sources Of Energy Has Created Significant Interest In The Environmental Benefits Of Producing Biogas From Organic Waste For Both Energy Production And Managing Organic Waste On A D...
Adoption Of Solar Panels In Rural And Urban India
With Abundant Availability Of Solar Energy Year-round, The Country Has Ample Scope For Using Solar Power To Meet Its Growing Energy Demands. Solar Panels Are Thus Gaining Popularity In India And Playing A Crucial Role In Its Energy Transiti...