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Papers tagged with "Two"
PREDICTION OF SMART CONCRETE PROPERTIES USING AI TECHNIQUES
Smart Concrete Is Transforming Construction By Combining Self-sensing And Self-healing Characteristics, Allowing For Real-time Structural Health Monitoring. However, Because Of Different Material Compositions And Environmental Conditions, I...
IOT-Based Bridge Health Monitoring System
Modern Bridges Need Regular And Careful Monitoring To Stay Safe And In Good Working Condition. Traditional Ways Of Checking Bridges Can Be Slow, Expensive, And Often Happen After Damage Has Already Started. This Paper Talks About A Smart Sy...
Service Usage Classification With Encrypted Internet Traffic In Moblie Messaging Apps
The Rapid Adoption Of Mobile Messaging Apps Has Enabled Us To Collect Massive Amount Of Encrypted Internet Traffic Of Mobile Messaging. The Classification Of This Traffic Into Different Types Of In-App Service Usages Can Help For Intelligen...
MALICIOUS SOCIAL BOT USING TWITTER NETWORK ANALYSIS IN DJANGO
Malicious Social Bots Generate Fake Tweets And Automate Their Social Relationships Either By Pretending Like A Follower Or By Creating Multiple Fake Accounts With Malicious Activities. Moreover, Malicious Social Bots Post Shortened Maliciou...
AI-Enabled Surveillance System For Abnormal Activity Detection And Alerting
Surveillance System Is A Network Of Interconnected Devices And Technologies Designed To Monitor, Record, And Analyze Activities In A Particular Area Or Environment. The Primary Purpose Of Surveillance Systems Is To Enhance Security, Gather...
Securing ATM Transaction With Facial Recognition -Based On Verification System
ATM Fraud And Unauthorized Transactions Pose Significant Security Challenges In The Banking Sector. Traditional Authentication Methods Such As PINs And Cards Are Vulnerable To Theft, Skimming, And Phishing Attacks. This Paper Proposes An In...
Human Sentiment Sound RNN Emotional Analysis With Django interface
Human Sentiment Sound RNNs For Emotional Audio Analysis With A Django Interface" Explores The Intersection Of Deep Learning And Human-computer Interaction By Developing A Recurrent Neural Network (RNN) Model Tailored To Analyze And Classify...
SUSTAINABLE AGRICULTURE: A APPROACH FOR RICE LEAF DISEASE DETECTION AND CLASSIFICATION USING DCNN AND ENHANCED DATASETS
The Quality And Productivity Of Rice Crops Can Be Significantly Impacted By A Variety Of Diseases. For Effective Management And Higher Agricultural Productivity, Early Disease Detection And Classification Are Essential. The Primary Objectiv...
RNN-Based Heartbeat Sound Analysis With Django Integration
Congenital Heart Diseases (CHDs) Are Among The Leading Causes Of Mortality Worldwide, Necessitating Early And Accurate Detection Methods.Improving Patient Outcomes And Facilitating Prompt Medical Intervention Depend Heavily On Early Diagnos...
Detection Of Diabetic Retinopathy Using Convolutional Neural Network
Diabetic Retinopathy (DR) Is A Leading Cause Of Vision Loss Globally, Particularly Among Individuals With Long-standing Diabetes. Early Detection And Grading Of DR Are Vital To Prevent Irreversible Blindness. This Project Presents An End-to...
Dental Disease Detection Based On Deep Learning Algorithm Using Various Radiographs
Dental Diseases Such As Dental Caries, Periodontal Disease, Periapical Lesions, And Bone Loss Are Among The Most Prevalent Oral Health Issues Globally. Early And Accurate Detection Is Critical To Preventing Progression And Ensuring Effectiv...
Brain Tumor Disease Detection Using Federated Learning With FedAvg
Federated Learning (FL) Has Emerged As A Critical Paradigm For Collaborative Model Training In Privacy-constrained Domains, Particularly In Healthcare. This Study Presents A Comprehensive FedAvg-based Framework For Brain Tumor Detection Fro...
Intelligent Attendance Monitoring System Using Deep Face Recognition With Residual Neural Network (ResNet) Analysis
An Innovative Attendance System Utilizing Face Detection Technology Is Presented, Aimed At Improving The Efficiency And Accuracy Of Attendance Tracking. This System Integrates Computer Vision With Advanced Deep Learning Techniques, Enabling...
Deep Learning Approaches For Brain State Detection Under Anesthesia: A CNN-LSTM Framework
This Research Presents An Automated Approach To Analyzing Brain States During Anesthesia Using Convolutional Neural Networks (CNNs) And Long Short-Term Memory (LSTM) Networks. By Leveraging The Spatial Feature Extraction Power Of CNNs And T...
A Convolutional Neural Network Approach To Interview Simulation And Evaluation
Artificial Intelligence (AI) Is Transforming A Wide Range Of Industries By Enabling Machines To Perform Tasks That Traditionally Required Human Intelligence, Such As Perception, Decision-making, And Natural Interaction. In The Context Of Re...