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Papers tagged with "Lut"
YOLO-BASED AUTOMATED PCB DEFECT DETECTION AND QUALITY ASSESSMENT SYSTEM FOR SMART MANUFACTURING
Printed Circuit Boards (PCBs) Serve As The Structural And Electrical Foundation Of Virtually Every Modern Electronic Device, Making Their Quality And Reliability Paramount In Both Consumer And Industrial Electronics. Defects Introduced Duri...
DEEPTRACENET: AN AI DRIVEN FRAMEWORK FOR MATHEMATICAL FEATURE-BASED FORGERY DETECTION
The Rapid Growth Of Deepfake Technologies Has Raised Serious Concerns Regarding The Authenticity Of Digital Images And Videos, Impacting Information Security, Media Credibility, And Forensic Analysis. This Research Presents A Deep Learning-...
Plant Disease Detection Using Deep Learning
Agriculture Plays A Crucial Role In Global Food Security, And Plant Diseases Represent One Of The Most Significant Threats To Crop Productivity And Quality Worldwide. Traditional Methods Of Disease Identification Rely Heavily On Manual Insp...
AI -POWER BASED BLIND AND VISUALLY IMPAIRED SYSTEM FOR SMART GLASS
Visual Impairment Creates Major Challenges In Daily Life And Mobility, As Individuals Often Struggle To Detect Obstacles And Recognize People Around Them. To Address These Issues, Smart Assistive Technologies Play A Vital Role In Improving...
Fruits Freshness Detection Quality And Nutritional Analysis Using Machine Learning
In The Context Of The Food Processing Industry In The Present Day, It Is Evident That The Freshness And Quality Of Fruits Play A Major Role In Maintaining The Health And Wellness Of Consumers, Reducing Food Product Waste, And Maximizing The...
Multimodal Video Summarization For Crime Scene Analysis Using YOLO Based Object Detection
The Rapid Growth Of Surveillance Cameras In Public Places Has Led To The Generation Of Large Volumes Of Video Data, Making Manual Monitoring Difficult And Inefficient. Detecting Violent Activities Such As Fights, Weapon Usage, And Suspiciou...
Air Pollution Control System
Air Pollution Is One Of The Most Critical Environmental Challenges Affecting Urban And Industrial Regions Worldwide. Rapid Industrialization, Vehicular Emissions, And Construction Activities Have Significantly Increased The Concentration Of...
Deep Learning-Based Eye Disease Detection
Eye Diseases Such As Diabetic Retinopathy (DR), Glaucoma, And Age-related Macular Degeneration (AMD) Remain Major Causes Of Vision Loss Globally. Early Screening Is Crucial But Limited By The Availability Of Trained Ophthalmologists. This P...
An Intelligent Hybrid GCN-LSTM Model For Energy Stock Price Forecasting With Temporal Dynamics And Inter-Stock Correlation
Energy Sector Stock Price Prediction Is A Critical Yet Challenging Task In Financial Forecasting, Characterized By High Volatility, Non-linearity, And Complex Interdependencies Driven By Geopolitical Events, Regulatory Shifts, And Commodity...
Microplastics In The Environment And Their Impact On Living Organisms
Microplastics Are Plastic Particles Smaller Than 5 Mm That Originate From The Degradation Of Larger Plastic Materials Or Are Manufactured For Commercial Use. In Recent Years, Microplastic Pollution Has Become An Important Environmental Conc...
DEEP LEARNING-BASED DETECTION OF SKILLED SIGNATURE FORGERIES
Signature Verification Plays A Critical Role In Authentication Systems Used In Banking, Legal Documentation, And Financial Transactions. However, Skilled Signature Forgeries Pose A Significant Challenge For Traditional Verification Techniqu...
A Survey on Intelligent Skin Disease Prediction Using Deep Learning And CNN–LLM Integration
Skin Diseases Are Among The Most Prevalent Medical Issues Globally, Making Timely And Accurate Diagnosis Essential For Successful Treatment.Expert Clinical Evaluation Is The Traditional Foundation Of Dermatological Diagnosis.However, This A...
LUNG TUMOR SEGMENTATION USING VISUAL GEOMETRY GROUP NETWORKS IN MRI IMAGES
Lung Cancer Is One Of The Most Life-threatening Diseases Worldwide, And Early Diagnosis Significantly Increases The Chances Of Survival. Accurate Detection And Classification Of Lung Tumors Remain Challenging Due To Variations In Tumor Size...
Traffic Volume Forecast Using Statistical Regression Learning For Annual Average Daily Traffic (AADT) Estimate
With The Advent Of Intelligent Transportation Systems (ITS), Short Term Traffic Prediction Is A Major Feature To Develop The Smart Traffic System For The Smart City Framework. It Allows Real Time Data Accumulation, Analysis And Operations I...
A Study On The Effectiveness Of Grievance Redressal Committee In Resolving Grievance At Ramsays Corporation Private Ltd
The Study Titled “A Study On The Effectiveness Of Grievance Redressal Committee In Resolving Grievances At Ramsays Corporation Private Limited” Examines The Efficiency, Transparency, And Responsiveness Of The Organization’s Grievance Redres...