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Papers tagged with "Convolution"
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...
Kidney Stone Detection From Ultrasound Images Using Canny Edge Detection And CNN Classification
Kidney Stone Detection Is A Critical Task In Diagnosing And Managing Urological Disorders. This Project Focuses On Developing A Robust System For Kidney Stone Detection Using Ultrasound Images. The Methodology Integrates Canny Edge Detectio...
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...
Brain Tumor Detection And Classification With An Android App
Brain Tumor Detection Is A Critical Task In Medical Diagnostics, Requiring Accurate And Efficient Models To Classify Tumor Presence In MRI Scans. This Project Employs A Convolutional Neural Network (CNN) To Identify Tumors In Medical Images...
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...
A NOVEL DEEP LEARNING METHOD FOR MARINE OIL SPILL DETECTION FROM SATELLITE SYNTHETIC APERTURE RADAR IMAGERY
Oil Spill Detection Is Essential For Keeping The Maritime Ecology In Good Condition. The Use Of Quad-polarimetric Synthetic Aperture Radar (SAR) Has Demonstrated To Be Highly Promising In This Regard. It Is Advantageous To Distinguish Oil S...
SIGNATURE FORGERY DETECTION SYSTEM
The Convenience And Speed Of Electronic Transactions Have Revolutionized Document Handling And Company Operations In An Increasingly Digital Age. However, With This Age Of Digital Revolution Came New Difficulties, One Of Which Was The Vulne...
SMART CROP PROTECTION AND ANIMAL DETECTION
Agriculture Is The Backbone Ofour Country, India‘s 80% Revenue Is Dependent On It . There Isa Growing Need For Innovative Solutions.This Paper Proposes A Comprehensive Approach Integrating Smart Technology’s For Both Crop Protection And Ani...
EMOTION DETECTION FROM FACIAL EXPRESSIONS USING CNN AND LSTM FOR ENHANCED ACCESSIBILITY FOR BLIND INDIVIDUALS
Facial Expressions Are A Crucial Component Of Human Communication, Conveying Emotions That Enrich Social Interactions. For Blind Individuals, This Nonverbal Channel Is Inaccessible, Hindering Their Ability To Fully Understand Social Cues. T...
Plant disease detection
The Identification And Detection Of Diseases Of Plants Is One Of The Main Points Which Determine The Loss Of The Yield Of Crop Production And Agriculture. The Studies Of Plant Disease Are The Study Of Any Visible Points In Any Part Of Th...
PLANT IDENTIFICATION AND DISEASE DETECTION
Many Machine Learning (ML) Models Have Been Employed For The Detection And Classification Of Plant Diseases But,Early Detection Of Plant Diseases Is Crucial To Ensure Healthy Crop Growth. Deep Learning (DL), A Powerful Subset Of Machine Lea...
BRAIN AUTISM SEGMENTATION USING CONVOLUTIONAL NEURAL NETWORKS IN MRI IMAGES INTERFACE
Functional Magnetic Resonance Imaging Or Functional AUTISM (AUTISM) Is A Functional Neuro Imaging Procedure Using Autism Technology That Measures Brain Activity By Detecting Associated Changes In Blood Flow, Uses The Blood-oxygen-lev...