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Papers tagged with "Neural"
The Role Of Image Recognition In Modern Archaeology
This Study Presents An Intelligent AI-based Image Recognition System Designed To Assist Archaeologists In The Identification And Classification Of Artifacts From Excavation Sites And Museum Archives. Traditional Archaeological Analysis Is T...
Leveraging Machine Learning Based Regression Analysis To Estimate Customer Churn
Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...
A Review On Machine Learning And Deep Learning Models For Predicting Workload In Cloud Platforms
Cloud Computing Has Become The Backbone Of Modern IT Infrastructure, Enabling Elastic Resource Provisioning And Pay-as-you-go Models. As Enterprises Migrate More Workloads To The Cloud, The Challenge Of Predicting Workload Demand And Managi...
Early Detection Of Kidney Cancer Using Machine Learning-Based Predictive Modeling
Kidney Cancer Remains A Serious Health Threat Worldwide, With Many Cases Undetected Until Reaching Advanced Stages, Leading To Reduced Survival Rates. Factors Like Limited Awareness And Insufficient Diagnostic Resources Contribute To High M...
A Review On Machine Learning Based Models For Identifying Potential Adversarial And Poisoning Attacks
Machine Learning (ML) Has Revolutionized Data-driven Decision-making Across Sectors Such As Healthcare, Finance, Defense, And Cybersecurity. However, As Its Influence Grows, So Does Its Vulnerability To Adversarial And Poisoning Attacks. Ad...
A Comprehensive Review On Machine Learning Based Techniques For Crop Blight Detection
Plant Diseases Like Early And Late Blight Must Be Promptly Identified, And This Requires Automated Blight Detection. These Illnesses Have The Potential To Spread Quickly And Seriously Harm Crops. By Taking Timely And Focused Action To Limit...
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...
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...