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Papers tagged with "Cnn"
Angoth Lakshmn
Every Country Has Seen An Increase In Motorcycle Accidents Over The Years Due To Social And Economic Differences As Well As Regional Variations In Transportation Circumstances. One Common Mode Of Transportation For Those In The Middle Class...
AI In HealthCare: Focus On Medical Imaging
In Healthcare Sector ,specially In The Field Of Medical Imaging ,Artifical Intelligence (AI) Is Bringing Significant Changes. Imaging Methods Like CT Scans, X-rays, And MRIs Produce Large Volumes Of Visual Information That Require Accurate...
MARINE SPECIES RECOGNITION USING IMAGE ANALYSIS
The Identification And Classification Of Marine Species Play A Vital Role In Ecological Studies, Biodiversity Protection, And Sustainable Fisheries Management. Traditional Approaches That Rely On Manual Observation Are Not Only Time-intensi...
Deep Learning In Ophthalmology: Predicting Eye Diseases Using Pre-Trained Neural Network
This Study Presents A Deep Learning Approach For Predicting Multiple Retinal Diseases Using Fundus Images. Leveraging A Pre-trained Xception CNN Model Optimized For Multi-label Classification, The System Accurately Detects Conditions Such A...
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...
Deep Learning Approach For Brain Tumor Classification, Segmentation And Detection
Brain Tumor Detection Remains A Critical Challenge In Medical Diagnostics. This Paper Presents A Comparative Analysis Of Classification-based, Segmentation-based, And Hybrid Deep Learning Approaches For Brain Tumor Diagnosis. The System Emp...
Intelligent Fault Diagnosis In Cascaded Multilevel Inverters Using Multiscale Kernel CNN
This Paper Proposes An Intelligent Fault Diagnosis Method For Cascaded Multilevel Inverters Using A Multiscale Kernel Convolutional Neural Network (CNN). The Approach Leverages The Ability Of CNNs To Extract Features From Signals And Diagno...
Vehicle Based Driver Drowsiness Detection By Support Vector Machines
Driver Drowsiness Remains A Major Cause Of Road Accidents. This Paper Presents A Comparative Analysis Of Indirect Driver Monitoring Systems (DMS) Using Vehicle-based Features, Direct DMS Using Driver-based Facial Behavior, And A Hybrid Appr...
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...
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...
Sign Language Classification Text And Voice Output System Using Resnet
Sign Language Is A Crucial Communication Medium For Individuals With Hearing And Speech Impairments. However, The Lack Of Widespread Accessibility To Sign Language Interpreter’s Limits Communication Opportunities For The Deaf And Mute Commu...
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...
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...
Enhancing Road Safety And Traffic Management By Leveraging AI Driven Surveillance, Real-time Monitoring And Automated Violation Detection Using Computer Vision And IoT
The Smart Traffic Monitoring And Violation Detection System Is An Advanced AI-powered Solution Designed To Revolutionize Traffic Management By Ensuring Real-time Monitoring, Automated Enforcement, And Enhanced Road Safety. Leveraging Comput...
Breast Cancer Detection Using Hybrid Ri-Vit In Histopathalogical Images
Breast Cancer Remains A Significant Global Health Concern, Impacting Millions Of Women Each Year. Timely Detection And Precise Diagnosis Are Essential To Enhancing Treatment Success And Lowering Death Rates. Histopathological Imaging Is Wid...