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AI-Based Intelligent Multi-Disease Prediction System Using Adaptive Symptom Analysis - A Comparative Study Of Supervised Learning Algorithms For Clinical Disease Classification
The Integration Of Artificial Intelligence Into Clinical Healthcare Settings Has Gained Remarkable Momentum Over The Past Decade, Offering Unprecedented Opportunities To Augment Diagnostic Capabilities And Extend Medical Reach To Underserve...
A Study On Algorithm-Based Pricing In Digital Platforms
Algorithm-based Pricing Is Increasingly Used By Digital Platforms To Set Prices Dynamically Based On Data, Demand, And User Behavior. This Study Examines How Such Pricing Mechanisms Operate And Their Impact On Consumers, Market Competition,...
AI-DRIVEN SECURE NETWORK AUTHENTICATION WITH SPATIAL TRUST VALIDATION
This Paper Presents An AI-Driven Secure Network Authentication System With Spatial Trust Validation To Enhance Traditional Login Security Using Machine Learning And Generative AI Techniques. During Registration, The System Stores Baseline A...
CHRONIC KIDNEY DISEASE PREDICTION USING MACHINE LEARNING ENSEMBLE ALGORITHM
Chronic Kidney Disease (CKD) Is A Non-communicable Illness That Affects A Significant Portion Of The Global Population. Major Risk Factors Include Diabetes, Hypertension, And Cardiovascular Disorders. CKD Often Remains Asymptomatic In Its E...
Performance Evaluation Of Hybrid Machine Learning Models For Credit Card Fraud Detection
Credit Card Fraud Cares With The Illegal Use Of Master Card Information For Purchases. Credit Card Transactions Are Often Accomplished Either Physically Or Digitally. In The Manual Transactions, The Credit Card Is Included During The Transa...
Online Attendance Register With Personal Details Database Embedded With AI For Data Analysis And Filtration
In Recent Years, Educational And Corporate Institu- Tions Have Begun Transitioning To Automated Attendance Man- Agement Systems Driven By Digital Technologies. This Paper Proposes An Intelligent Online Attendance Register Integrated With A...
The State-of-the-Art Review On The Machine Learning Techniques In Banking And Financial Services (BFS)
The Financial Sector Has Undergone Many Changes With The Advancement Of Technology. Artificial Intelligence Algorithms Are Used To Analyze Large Datasets And Support Making Trades At High Speed Based On Market Patterns. Machine Learning Alg...
ARTIFICIAL INTELLIGENCE BASED NAVIGATION SYSTEM
In Modern Educational Institutions, Students, Faculty, Staff, And Visitors Often Encounter Difficulties In Finding The Most Efficient And Timely Routes To Various Destinations Across A Large Campus. The Artificial Intelligence Based Navigat...
Fraud Detection And Analysis For Insurance Claims Using Machine Learning
Insurance Fraud, Particularly In Claim Processing, Results In Billions Of Dollars In Losses Annually For Companies Worldwide. Manual And Rule-based Detection Mechanisms Are Often Inefficient In Detecting Sophisticated Fraud Schemes. This St...
A DRIVING DECISION STRATEGY(DDS) BASED ON MACHINE LEARNING FOR AN AUTONOMOUS VEHICLE
A Modern-day Self-sustaining Car Determines Its Driving Method By Means Of Thinking About Solely Exterior Factors (Pedestrians, Street Conditions, Etc.) Barring Thinking About The Interior Circumstance Of The Vehicle. To Overcome Above Prob...
Deep Learning Approach For Brain Tumor Classification, Segmentation And Detection
Brain Tumor Detection Remains A Critical Challenge In Medical Diagnostics. This Paper Presents A Comparative Analysis Of Classification-based, Segmentation-based, And Hybrid Deep Learning Approaches For Brain Tumor Diagnosis. The System Emp...
An Improved AI Based Light And Fan Control System Using YOLO Deep Learning To Reduce Electricity Consumption
An Innovative Indoor Automation System Enhances Energy Efficiency By Combining Real-time Object Detection With Environmental Sensing. Using The YOLO Algorithm In Python And Light/temperature Sensors, It Monitors Human Presence And Room Cond...
Traffic Accident Severity Detection Using Deep Learning Approach
Road Accidents Are A Major Cause Of Fatalities Worldwide, With Delayed Emergency Response Being A Critical Factor In The Loss Of Lives. Traditional Accident Detection Methods Rely On Manual Reporting, Witness Intervention, Or Emergency Call...
A Review On How To Predict Blood Group Using Fingerprint Patterns
The Most Reliable And Unique Feature Of Human Identity Is The Fingerprint Pattern. The Fingerprint Pattern Cannot Be Changed And Remains As Is Till The Death Of An Individual. Predicting The Blood Group Using Fingerprints Is A Concept That...
Cloud-based Crew Management Systems: Enabling Real-Time And Collaborative Crew Scheduling
Cloud Computing Has Transformed The Landscape Of Crew Management By Offering Scalable, Real-time, And Collaborative Solutions For Geographically Distributed Teams. This Review Paper Explores The Role Of Cloud-based Crew Management Systems I...