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Papers tagged with "Ica"
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...
IoT Based Smart Public Transport Framework For Location Tracking And Seat Availability Monitoring
Public Transportation Systems Face Significant Challenges In Providing Real-time Information About Bus Location And Seat Availability To Passengers, Resulting In Long Waiting Times, Overcrowding, And Inefficient Utilization Of Transport Res...
AI-Driven Edge-Based Smart Parking System With NFC Authentication For Parking Slot Recommendation And Access Time Prediction
Efficient Parking Management Requires Intelligent, Real-time Decision-making To Minimize Search Time And Improve Space Utilization. This Paper Presents An AI-driven, Edge-based Smart Parking System Built Around A Comparative Evaluation Of R...
Performance Study Of Diesel Engine Using Pongamia Biodiesel
Rising Environmental Pollution, Ever-increasing Energy Demand, And The Depletion Of Fossil Fuel Reserves Have Driven The Search For Alternative And Sustainable Fuels For Internal Combustion Engines. Biodiesel, A Renewable, Biodegradable, An...
Embedded Edge-AI Framework For Autonomous UAV-Based Human Detection And Remote Alerting Using ESP32-S3 Flight Control And ESP32-CAM Vision
Autonomous Unmanned Aerial Vehicles (UAVs) Equipped With On-board Artificial-intelligence Inference Are Increasingly Used For Surveillance And Monitoring Tasks That Require Rapid, Low-latency Decisions Without Continuous Human Supervision....
Bibliometric Studies In Library And Information Science: A Review Of Methods, Applications, And Emerging Trends
Bibliometrics Has Become An Important Research Approach For Examining The Growth, Structure, Visibility, And Development Of Scholarly Literature. In Library And Information Science (LIS), Bibliometric Techniques Are Increasingly Used To Stu...
A Review On Standardization And QC Of Herbal Drugs Emerging Approaches And Future Perspectives
Medicinal Plants Have Been Used For The Prevention And Treatment Of Various Diseases Since Ancient Times. As Medicinal Plants Become More Accepted Around The World, The Demand For Their Quality, Safety, And Efficacy Is Increasing. However,...
Defect Detection In Printed Circuit Board Using CNN
The Physical Violence Detection Using Key Framing Printed Circuit Board (PCB) Inspection Is An Essential Part Of PCB Production Process. Traditional PCB Bare Board Defect Detection Methods Have Their Own Defects. However, The PCB Bare Board...
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...
EXECUTION AND CONSTRUCTION MANAGEMENT OF ELEVATED BULLET TRAIN WORKS FROM SUBSTRUCTURE TO DECK FURNISHING
The History Of Indian Railways Dates Back More Than 160 Years. The First Passenger Train Ran Between Bori Bunder (Bombay) And Thane, A Distance Of 34 Kilometres, On April 16, 1853. It Had Thirteen Carriages And Was Operated By Three Locomot...
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,...
TOPOGRAPHY-INDUCED SPATIAL VARIABILITY IN THE SEISMIC ANALYSIS OF LONG-SPAN ARCH BRIDGES: A SYSTEMATIC REVIEW
Long-span Arch Bridges Are Frequently Selected For Deep Valleys And Canyon Crossings, Yet The Same Topography That Makes The Structural Form Attractive Can Substantially Modify Earthquake Input At The Foundations. This Review Synthesizes Re...
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...
Brain Tumor Detection From MRI Scans Using Convolutional Neural Networks
Brain Tumors Are Among The Most Life-threatening Neurological Disorders That Require Early And Accurate Diagnosis To Improve Patient Survival And Treatment Outcomes. Magnetic Resonance Imaging (MRI) Is Widely Used For Detecting Brain Abnorm...
Brain Tumor Detection From MRI Scans Using Convolutional Neural Networks: A Review
Brain Tumor Detection Is One Of The Most Critical Applications Of Artificial Intelligence (AI) In Medical Image Analysis. Early And Accurate Identification Of Brain Tumors Plays A Vital Role In Improving Patient Survival Rates And Assisting...