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Papers tagged with "Convolutional Neural Networks"
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...
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...
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...
An Improved Fire Detection Method Based On CNN
In Order To Minimize Damage, Fire Detection Is A Crucial Component Of Early Warning Systems In Both Urban And Rural Areas. And Quickening Response Times. Traditional Fire Detection Methods Have Limited Environmental Detecting Capabilitie...
Position-Sensitive Neural Networks For Insect Detection And Grain Quality Prediction In Storage
Insect Infestations In Grain Can Lead To Significant Losses In Both Quantity And Quality, Impacting Crop Value. These Insects Not Only Consume Grain But Also Contaminate It With Their Metabolic By-products And Body Parts, Contributing To Th...
Fetus Brain Tumor Detection Using Ultrasound Images In Deep Learning
The Early Identification Of Brain Tumors In Fetus Is Critical For Timely Medical Intervention And Improved Neonatal Outcomes. This Study Presents A Deep Learning-based Approach To Automatically Detect And Classify Brain Tumors In Fetal Ultr...
DDOS DETECTION IN SOFTWARE DEFINED NETWORK USING FEDERATED LEARNING
Distributed Denial Of Service Attacks Have Become A Great Concern For Security In Software Defined Networking(SDN), As They Mostly Overload Centralized Security Mechanisms. In This Work, A Federated Learning-Based Intrusion Detection System...
DETECT GENUINE AND COUNTERFEIT LOGOS USING A CNN WITH THE INCEPTION V3 PRE TRAINED MODEL TO ACHIEVE HIGHÂ ACCURACY
The Proliferation Of Counterfeit Products Poses Significant Challenges To Brand Integrity And Consumer Trust. This Paper Presents A Comprehensive Survey On Detecting Genuine And Counterfeit Logos Using Convolutional Neural Networks (CNNs) W...
A Study On Predicting House Prices With Deep Learning: An Evaluation Of Advanced Neural Network Models
Everyone Dreams Of Owning A Home That Aligns With Their Lifestyle And Meets Their Unique Needs, Including Essential Amenities. Factors Like Area, Location, And Views Play A Major Role In Determining The Price Of A House. However, Predicting...
CROSS-PLATFORM SECURE PHOTO SHARING FRAMEWORK USING DEEP LEARNING
In The Era Of Ubiquitous Digital Communication, The Secure Sharing Of Multimedia Content Across Diverse Platforms Has Become A Critical Concern. This Project Introduces A Robust And Secure Photo-sharing Framework Leveraging Advanced Deep Le...
AI - POWERED RAIL SAFETY SYSTEMS FOR REAL - TIME DETECTION OF CRACKS AND OBJECTS
The Smart Railway Monitoring System Leverages Advanced AI Techniques To Ensure The Safety And Efficiency Of Railway Operations. The System Integrates Object Detection And Crack Detection Methodologies To Monitor Railway Tracks And Infrastru...
VEHICLE SPEED DETECTION AND HELMET ENFORCEMENT
Ensuring Road Safety Through Effective Enforcement Of Traffic Laws Is A Critical Challenge, Particularly In Addressing Overspeeding And Helmet Non-compliance Among Motorcyclists. Traditional Methods Of Traffic Violation Monitoring Are Resou...
URBAN STREET CLEANLINESS ASSESSMENT USING MOBILE EDGE COMPUTING AND DEEP LEARNING
Object Detection Plays A Vital Role In Computer Vision, With Numerous Applications, Including Smart City Development. City Managers Invest Significant Resources In Cleaning Street Garbage Due To Its Unpredictable Appearance. As Deep Learnin...
Automated Identification of Student Engagement in Online Learning: A Bagging Ensemble Deep Learning Method
The COVID-19 Pandemic Has Transformed Education, Shifting Learning From Traditional Classroom Settings To Online Platforms. While This Transition Offers Benefits, Such As Freeing Learning From Time And Location Limitations, And Allowing Edu...
Leaf Disease Prediction Using Classification in Machine Learning and GUI
In Agriculture, Timely Detection And Classification Of Leaf Diseases Play A Crucial Role In Ensuring Crop Health And Yield Optimization. With The Advent Of Machine Learning (ML) Techniques, Automated Systems Have Emerged As Effective Tools...