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Papers tagged with "Learning"
Explainable AI (XAI) Multimodal Artificial Intelligence For Ayurvedic Prakriti Assessment Using Questionnaire, Tongue Images, And Facial Features
Ayurveda Classifies People Into Vata, Pitta, And Kapha Types. This Is Called Prakriti. Manual Assessment Relies On Physician Judgment. It Can Be Subjective And Hard To Repeat. This Paper Proposes A Multimodal AI System. It Uses Questionnair...
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,...
A Privacy-Preserving Federated Learning Framework With Dual Explainability For Hybrid CNN–LSTM Based Anomaly Detection In IoT Network Traffic
Intrusion Detection Systems (IDS) For The Internet Of Things Face A Three-way Tension: Deep Models Detect Attacks Accurately But Behave As Opaque Black Boxes, Centralised Training Pipelines Require Raw Traffic To Be Exported From Every Devi...
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...
An Interpretable Deep Learning Framework For MRI-Based Alzheimer’s Disease Detection And Automated Clinical Reporting
Alzheimer’s Disease (AD) Is A Progressive Neurodegenerative Disorder That Affects Memory, Cognitive Abilities, And Overall Brain Function, Particularly In The Aging Population. Early And Reliable Diagnosis Is Essential For Timely Interventi...
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...
Federated Learning And Explainable Artificial Intelligence For Intrusion Detection In IoT Networks: A Review
The Rapid Enlargement Of The Internet Of Things Has Turned Billions Of Weakly Protected Devices Into An Attractive Attack Surface, And Machine-learning Intrusion Detection Has Become The Default Defensive Answer. Three Difficulties, However...
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...