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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...
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...
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...
Experimental Investigation On The Strength And Durability Properties Of M30 Concrete By Partially Replacing Cement With Eggshell Powder
This Study Investigates Egg Shell Powder (ESP) As A Partial Replacement For Ordinary Portland Cement In M30 Grade Concrete, With Emphasis On Fresh Behaviour, Mechanical Strength And Durability. Concrete Mixes Were Prepared With 0%, 5%, 10%,...
Environmental Aspects Of University Library Buildings In Maharashtra State
University Library Buildings Play An Important Role In Supporting Higher Education, Research, And Knowledge Creation. At The Same Time, Library Buildings Consume Considerable Amounts Of Energy And Natural Resources Through Lighting, Air-con...
Performance Evaluation Of Natural Zeolite-Based Fiber Reinforced Concrete Under Flexural And Tensile Loading
The Incorporation Of Supplementary Cementitious Materials And Fiber Reinforcement Has Become An Effective Strategy For Developing Sustainable Concrete With Enhanced Structural Performance. Among These Materials, Natural Zeolite Possesses Si...
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...
AgroNGO: A Machine Learning–Enabled Platform For Farm-to-Consumer Commerce And Sustainable Food Redistribution
A Major Challenge That The Agriculture Supply Chain Is Facing In India Is The Lack Of Technology. Fragmented With Large Losses In Food Post Harvest, Lowering Farmers' Income, Poor Food Availability For Low-income Groups. This Paper Outlines...
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...
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...
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...
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...
Performance Evaluation Of Cellulose Fiber Engineered Concrete For Structural Applications
Concrete Is The Most Widely Used Construction Material; However, Its Low Tensile Strength, Brittleness, And Susceptibility To Cracking Limit Its Performance In Structural Applications. The Incorporation Of Natural And Cellulose-based Fibers...