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Papers tagged with "Shap"
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...
Predicting Ride Costs With Advanced Regression Models
Accurate Ride Cost Prediction Has Become Increasingly Important As Ride-hailing Businesses Continue To Grow, The Ability To Accurately Predict Rides Costs Becomes More Crucial Than Ever, As It Directly Influences Pricing Efficiency, Operati...
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...
COMPARATIVE SEISMIC ANALYSIS OF FRAMES WITH SHAPE MEMORY ALLOY SLIP FRICTION DAMPERS
A New Hybrid Shape Memory Alloy (SMA)-based Damper Was Developed To Address Two Major Challenges For SMA-based Seismic Control Devices: (i) Insufficient Force Capacity For Real-world Application And (ii) Relatively Low Energy Dissipation Ca...
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...
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...
Explainable Ensemble Machine Learning Framework For Heart Disease Prediction
Heart Disease Is One Of The Leading Causes Of Death Worldwide, And Early Prediction Plays An Important Role In Reducing Severe Health Risks. Traditional Diagnostic Methods Such As ECG, Blood Tests, And Imaging Require Expert Interpretation,...
Intelligence Agent For Network Service And Resource Management
Silent Performance Degradation In Network Systems Is A Critical Operational Challenge Where Servers Gradually Lose Efficiency Without Explicit Failures Or Alarms, Leading To Reduced Reliability, Increased Downtime Risk, And Higher Maintenan...
COMPARATIVE STUDY OF REINFORCED CONCRETE OBLIQUE COLUMNS AND Y-SHAPED COLUMNS FOR HIGH-RISE STRUCTURES BY USING ETABS
This Study Presents A Comparative Analysis Of High-rise Reinforced Concrete (RC) Structures Incorporating Regular Columns, Oblique Columns, And Y-shaped Columns Using ETABS. With The Growing Demand For Innovative Architectural Forms And Eff...
ANALYSIS OF A TALL STRUCTURE CONSIDERING SHEAR WALL WITH DIFFERENT SECTIONS OF OPENINGS USING ETABS
High-rise Building Construction Is Becoming More And More Common In The Modern Period Due To Aesthetic Reasons And Land Scarcity. Lateral Forces Have A Greater Impact On Tall Structures.Shear Walls Are Typically Designed To Minimise The Cau...
PREDICTING ACADEMIC ACHIEVEMENT USING MACHINE LEARNING
Predicting Academic Achievement Using Machine Learning Plays A Significant Role In Shaping A Student’s Future Educational And Career Opportunities. In This Study, We Propose A Machine Learning-based System To Predict Student Academic Achiev...
EMPOWERING EXPLAINABLE AI: DEMYSTIFYING DECISION-MAKING IN AI SYSTEMS
Explainable AI (XAI) Plays A Pivotal Role In Enhancing Transparency And Trustworthiness In Artificial Intelligence Systems By Making Their Decision-making Processes Interpretable To Humans. This Study Investigates The Application Of XAI Tec...
Review on Design And Simulation of a Cylindrical Dielectric Resonator Antenna for Biomedical Applications
To Detect Glucose In Humans, A Dielectric Resonator Antenna In The Shape Of A Cylinder Is Introduced. In The Suggested Antenna Sensor, A 50Ω Microstrip Line Connects An Alumina Ceramic Dielectric Resonator. The Glucose Concentration Is Meas...
A REVIEW ON VARIOUS STRUCTURE CONFIGURATIONS TO WITHSTAND WIND LOADS IN CYCLONIC REGIONS
As Of 2015, India Is The Second Most Populous Nation With 1,282,390,303 People. For Shelter And Labor, Constructed Environments Must Rise Upwards. Civil Engineers Struggle With Dynamic Analysis Of Big Structures With All Safety Concerns. Ea...