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Papers tagged with "Convolution"
Automatic Image Captioning System Using CNN-LSTM: A Deep Learning Approach
Automatic Image Captioning Is A Challenging Task At The Intersection Of Computer Vision And Natural Language Processing That Involves Generating Semantically Meaningful Textual Descriptions From Visual Input. This Paper Presents A Deep Lear...
HYBRID MACHINE LEARNING AND DEEP LEARNING-BASED VPN NETWORK TRAFFIC ANOMALY DETECTION SYSTEM
The Rapid Growth Of Internet Usage And The Widespread Adoption Of Virtual Private Networks (VPNs) Have Significantly Enhanced Secure Communication, But Have Also Introduced New Challenges In Detecting Cyber Threats Hidden Within Encrypted T...
HIGH ACCURACY LIGHTWEIGHT IMAGE CLASSIFICATION USING AN IMPROVED YOLO AND VGG16
Waste Classification Plays A Crucial Role In Sustainable Waste Management By Categorizing Materials Based On Their Type To Ensure Proper Disposal And Recycling. Traditional Waste Sorting Methods, Which Rely Heavily On Manual Labor, Are Time...
AN AI-BASED HUMAN SCENE UNDERSTANDING MECHANISM FOR IMAGE CAPTIONING IN BLIND NAVIGATION AND ASSISTANCE
Visual Impairment Greatly Affects The Navigation And Interaction With The Surrounding Environment. Conventional Assistive Tools Are Generally Unintelligent, While Existing Digital Tools Are Generally Task-specific, Computationally Inefficie...
SMART MULTI-RESTAURANT FOOD ORDERING AND DELIVERY SYSTEM
The Smart Multi-Restaurant Food Ordering And Delivery System Is An Advanced Food Delivery Platform Built To Overcome The Limitations Of Traditional Single-restaurant Ordering Applications. The System Allows Users To Order From Multiple Rest...
BLOOD GROUP DETECTION USING FINGERPRINT
Fingerprint-based Blood Group Detection Is An Innovative And Emerging Technique That Integrates Deep Learning And Image Processing To Predict An Individual's Blood Type From Fingerprint Patterns. This Method Leverages The Correlation Betwee...
Driver Drowsiness Detection Using Machine Learning
Driver Drowsiness Is One Of The Leading Causes Of Road Accidents Worldwide, Posing A Significant Threat To Human Life And Road Safety. This Paper Presents A Real-time Driver Drowsiness Detection System Employing Convolutional Neural Network...
AI-POWERED INDIAN MEDICINAL PLANT IDENTIFICATION AND INFORMATION SYSTEM USING DEEP LEARNING AND COMPUTER VISION TECHNOLOGY
Good Identification Of Medicinal Plants Is The Key To Maintaining The Traditional Knowledge Systems And Safe Use Of Herbs. Physical Identification Of Plants Is Time Consuming And Subject To Errors Especially Where Species Have The Same Morp...
Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet Blended Hybrid Model
Diabetic Retinopathy (DR) Represents A Critical Complication Of Diabetes Mellitus, Leading To Progressive Vision Impairment And Potential Blindness If Left Undetected. This Research Presents A Novel Multi-decision Inception-ResNet Blended H...
REAL-TIME VIOLENCE DETECTION SYSTEM USING YOLOV11 AND DEEP LEARNING
The Widespread Deployment Of Surveillance Systems Has Resulted In Continuous Generation Of Large-scale Video Data, Creating Challenges In Timely Identification Of Violent Incidents Such As Physical Assaults And Aggressive Behavior. Conventi...
Real-Time Sign Language Interpretation Using Deep Learning
Sign Language Serves As The Primary Mode Of Communication For Millions Of Hearing-impaired Individuals Worldwide, Yet The Gap Between The Deaf Community And The Hearing World Remains A Significant Barrier. This Paper Presents A Comprehensiv...
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...