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Papers tagged with "Optical"
AN INTELLIGENT DEEP LEARNING FRAMEWORK FOR SOCIAL MEDIA BOT DETECTION USING TRANSFORMER BASED MODEL
Nowadays, Social Media Platforms Have Emerged As One Of The Primary Modes Of Communication Where Memes And Comments Are Used Extensively For Spreading Ideas, Humor, And Thoughts. This Increasing Trend, However, Has Been Accompanied By The S...
Wearable Non-invasivs Glucose Monitoring Using Optical Sensing
Non-invasive Glucose Monitoring Remains A Critical Challenge In Biomedical Engineering Due To The Complex Interaction Of Light With Biological Tissues And The Weak Specificity Of Glucose-related Optical Signals. This Paper Presents The Desi...
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...
A Brief HPLC Study On Dorzolamide Hydrochloride
The Main Idea Is To Develop And Validate A Fast, Sensitive, And Accurate Reversed-phase High-performance Liquid Chromatography (RP-HPLC) Method For The Quantitative Determination Of Dorzolamide Hydrochloride (a Carbonic Anhydrase Inhibitor...
RETRO MART(AI-Driven Platform For Affordable Smartphones)
In An Era Where Sustainability And Affordability Are Becoming Essential Consumer Priorities, Refurbished Smartphones Offer An Eco-friendly And Cost-effective Alternative To Traditional Retail Purchases. However, Most Existing Resale Platfor...
Sentimental Comment Analyzer
In The Digital Age, Social Media Platforms Like YouTube Have Become Central To Online Interaction, With Vast Amounts Of User-generated Content That Reflect Diverse Opinions, Feedback, And Sentiments. Analyzing This Content Offers Powerful I...
A Study On Consumer Buying Behaviour Towards The Online Grocery App's
The Rapid Growth Of E-commerce And Increasing Internet Penetration Have Led To A Significant Shift In Consumer Shopping Habits, With A Notable Rise In Online Grocery Shopping. The Research Was Conducted To Understand The Key Drivers And Cha...
Deep Learning – Based Intelligent System For Printed Circuit Board Defect Identification
In The Fast-paced Electronics Manufacturing Industry, Ensuring Printed Circuit Board (PCB) Quality Is Vital For Producing Reliable, High-performance Devices. Traditional Methods Like Manual Inspection And Rule-based Vision Struggle With Sma...
A Deep Learning Driven Approach For Automated Identification And Classification Of Defects In Printed Circuit Boards
In The Fast-paced Electronics Manufacturing Industry, Ensuring The Quality Of Printed Circuit Boards (PCBs) Is Essential For Producing Reliable And High-performance Devices. Traditional Methods For PCB Defect Detection, Such As Manual Visua...
SYNTHESIS, GROWTH AND CHARACTERIZATION OF AMMONIUM DIHYDROGEN PHOSPHATE DOPED WITH POTASH ALUM FOR NONLINEAR OPTICAL APPLICATIONS
Growth Of Crystals Demands Theoretical Knowledge Of Thermodynamics, Kinetics, And Transport Processes. Crystal Growth, A Fundamental Process In Material Science Involves The Controlled Formation Of Crystalline Solids From A Supersaturated S...
Handwriting And E-text Recognition With Sentiment And Emotion Analysis: A Hybrid Deep Learning Approach
Despite The Convenience Of Pen And Paper, Managing Handwritten Documents Remains Challenging Due To Issues With Storage, Retrieval, And Sharing. Handwriting-to-text Conversion (HTC) Addresses These Limitations By Transforming Handwritten Te...
Enhancing Electrical Audits through AI-Powered Motor Nameplate Analysis
This Project Presents A Deep Learning-powered System For Automating The Extraction And Analysis Of Electrical Motor Nameplate Parameters, Addressing Inefficiencies In Traditional Manual Methods Used In Electrical Audits. Users Upload A Nam...
VEHICLE SPEED DETECTION AND HELMET ENFORCEMENT
Ensuring Road Safety Through Effective Enforcement Of Traffic Laws Is A Critical Challenge, Particularly In Addressing Overspeeding And Helmet Non-compliance Among Motorcyclists. Traditional Methods Of Traffic Violation Monitoring Are Resou...
A Blue Tea California in the treatment of varies disease
Synthetic Aperture Radar (SAR) Image Colorization Using Deep Learning Aims To Convert Grayscale Radar Images Into Visually Meaningful Color Representations. By Leveraging Models Like U-Net And GANs, This Process Combines SAR Data, Such As P...
SAR IMAGE COLOURIZATION FOR COMPREHENSIVE INSIGHT USING DEEP LEARNING
Synthetic Aperture Radar (SAR) Image Colorization Using Deep Learning Aims To Convert Grayscale Radar Images Into Visually Meaningful Color Representations. By Leveraging Models Like U-Net And GANs, This Process Combines SAR Data, Such As P...