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Papers tagged with "Machine Learning"
ForestGuard AI: Acoustic Detection Of Chainsaw Activity For Illegal Logging Monitoring
Illegal Logging Is A Major Environmental Problem That Affects Forest Ecosystems, Biodiversity, And Natural Resources. Conventional Forest Monitoring Techniques Based Mainly On Manual Patrols And Visual Inspection Can Be Difficult To Scale A...
A Hybrid Machine Learning Framework For Explainable Insurance Risk Assessment
Insurance Providers Increasingly Rely On Analytical Solutions To Improve Underwriting Consistency, Reduce Processing Time, And Optimize Risk Assessment. Traditional Underwriting Approaches Often Depend On Manual Review And Expert Judgment,...
SmartLife AI: An Intelligent, Inflation-Aware Personal Finance Management System — Design, Implementation, And A Roadmap Toward Predictive Financial Intelligence
Personal Financial Management (PFM) Applications Typically Report Nominal Income, Expenses, And Balances Without Indicating How Inflation Erodes Purchasing Power Or Whether A User Is On Track For Long-term Goals Such As Retirement. This Pap...
ML-Based Anomaly Detection In Healthcare Systems Using ESP32 Microcontroller
Continuous Monitoring Of Patient Vital Signs Through Wireless Body Area Networks (WBANs) Is Increasingly Central To Modern Healthcare, Yet Validating Anomaly-detection Pipelines On Real Hospital Networks Is Costly, Ethically Constrained, An...
APPLICATIONS OF SMART TECHNOLOGIES IN HEALTHCARE: THE ROLE OF AI AND MACHINE LEARNING
This Paper Examines The Role Of AI And ML In Enhancing Patient Care Through Faster Decision-making, Personalized Treatments, And Proactive Healthcare Delivery. Key Applications Include Predictive Analytics, Medical Imaging Diagnostics, Natu...
A Review On Machine Learning And Deep Learning Models For Forecasting Renewable Energy Production
The Transition Towards Renewable Energy Is No Longer Just An Option But A Necessity In Addressing The Growing Challenges Of Climate Change, Environmental Degradation, And Energy Security. Fossil Fuels, Which Currently Dominate Global Energy...
AI-Based Early Detection Of Mental Stress Among College Students Using Machine Learning Techniques
Mental Stress Among College Students Has Become A Significant Concern Due To Academic Pressure, Social Expectations, And Lifestyle Changes. Early Identification Of Stress Levels Can Help Institutions Provide Timely Psychological Support And...
Defect Detection In Printed Board Circuit Using Image Processing
A Printed Circuit Board Without Connecting With Any Components Called As A Bare PCB. Consider A PCB As A Basic Part Which Has Been Settled With More Electronic Units. In Order To Display The Manufacturing Process, The Drawbacks Have Been Ta...
Artificial Intelligence In Physical Education: Opportunities, Challenges, And Future Directions
Artificial Intelligence (AI) Is Transforming Physical Education By Improving Teaching, Fitness Assessment, Sports Performance Analysis, And Health Monitoring Through Technologies Such As Machine Learning, Computer Vision, Wearable Devices,...
A Comparative Study Of Machine Learning Algorithms And Response Surface Methodology For Energy Prediction And Optimization In Conveyor Systems
Conveyor Belts Are Fundamental To Any Modern Industrial Or Material-handling Facility, But Energy Efficient Operation Of A Conveyor System Is Essential For Decreasing Operational Cost. This Paper Proposes A Comparative Study Of Energy Optim...
Embedded-Based Pest Detection And Prevention System For Smart Agriculture
Agricultural Productivity Is Significantly Affected By Pest Infestations, Leading To Substantial Crop Losses And Increased Dependence On Chemical Pesticides. Early Detection And Timely Prevention Of Pests Are Essential For Improving Crop Yi...
A Review On Machine Learning And Deep Learning Models For Identifying Potentially Extremist And Radicalized Content
Machine Learning Has Revolutionized Churn Prediction, Enabling Organizations To Anticipate And Mitigate Risks Effectively. By Leveraging Historical Data And Advanced Algorithms, Businesses Can Identify At-risk Customers Or Employees And Tak...
A Review On Machine Learning And Deep Learning Models For Estimating Customer Churn Rates
Machine Learning Has Revolutionized Churn Prediction, Enabling Organizations To Anticipate And Mitigate Risks Effectively. By Leveraging Historical Data And Advanced Algorithms, Businesses Can Identify At-risk Customers Or Employees And Tak...
An Ensemble Machine Learning Models For Heart And Cardiovascular Disease Prediction
Chronic Health Risks Have Risen Among Young Individuals Due To Several Factors Such As Sedentary Lifestyle, Poor Eating Habits, Sleep Irregularities, Environmental Pollution, Workplace Stress Etc. The Problem Seems To Be More Menacing In Th...
An Optimized Deep Learning Model For Churn Rate Prediction
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...