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Papers tagged with "Two"
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...
VISION-DRIVEN FRAMEWORK FOR STUDENT IDENTITY VERIFICATION USING FACE AS HALL TICKET IN MODERN EXAMINATION SYSTEMS
Student Authentication During Examinations Has Emerged As A Critical Challenge In Modern Academic Environments Due To The Rising Incidence Of Impersonation, Identity Fraud, And Unethical Examination Practices. Conventional Verification Meth...
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...
Face Identification In Movie Footage
Face Identification And Object Detection In Movie Footage Present Significant Challenges Owing To The Dynamic Nature Of Video Content, Complex Scene Transitions, Rapid Movements, And Occlusions. Existing Systems That Apply Image-based Algor...
Privacy-Preserving Multiple Payment Fraud Detection Using LSTM-based Federated Learning.
This Paper Presents A Privacy-preserving Framework For Multiple Payment Fraud Detection Using Long Short-Term Memory (LSTM) And Federated Learning. The Model Captures Temporal Patterns In Transaction Data To Identify Fraudulent Activities E...
TRANSGUARD-RT: A REAL-TIME TRANSFORMER-DRIVEN INTRUSION DETECTION SYSTEM USING LIVE NETWORK TRAFFIC ANALYTICS
The Rapid Expansion Of Internet-based Communication And Interconnected Digital Infrastructures Has Significantly Increased Exposure To Advanced Cyber Threats, Including Malware Infiltration, Phishing Attempts, Denial-of-service Attacks, And...
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...
Cyber Threat Intelligence System Using CNN-LSTM Deep Learning Model
Cyber Threat IntelligenceThe Rapid Evolution Of Cyber Threats, Including Malware, Phishing Attacks, Distributed Denial Of Service (DDoS), And Advanced Persistent Threats, Has Made Traditional Security Mechanisms Less Effective. Conventional...
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...
AI-Based Automatic Network Traffic Routing To Avoid Congestion
The Exponential Increase In Network Traffic Has Made Congestion A Major Challenge, Leading To Increased Latency, Packet Loss, And Reduced Quality Of Service (QoS). This Paper Presents An Intelligent And Adaptive Traffic Routing System That...
Detection Of Screen Shadowing-Based Visual Data Exfiltration Attacks In VNC Systems
With The Increasing Adoption Of Remote Desktop Technologies In Enterprise Environments, The Security Of Visual Network Computing (VNC) Systems Has Become A Critical Concern. Screen Shadowing Attacks Represent A Significant Threat Vector Whe...
AI-Based Forensic Face Sketch Generation and Suspect Identification from Eyewitness Verbal Description
Suspect Identification Based On Eyewitness Descriptions Remains A Critical Challenge In Criminal Investigations Due To Memory Limitations, Language Barriers, And The Lack Of Reliable Visual Evidence. Traditional Forensic Sketching Methods R...
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...