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Papers tagged with "Transfer Learning"
BIOSIGNAL SMOCKING DETECTION OF X-RAY IMAGES
Lung Diseases Such As Viral Pneumonia And Smoking-induced Lung Damage Are Major Global Health Concerns Responsible For Millions Of Deaths Each Year. Early And Accurate Detection Of These Conditions Is Essential For Timely Medical Interventi...
Automatic Image Captioning System Using CNN-LSTM: A Deep Learning Approach
Automatic Image Captioning Is A Challenging Task At The Intersection Of Computer Vision And Natural Language Processing That Involves Generating Semantically Meaningful Textual Descriptions From Visual Input. This Paper Presents A Deep Lear...
AN INTELLIGENT MULTI-ALGORITHM MACHINE LEARNING SYSTEM FOR SKIN DISEASE CLASSIFICATION AND PREDICTION
This Paper Proposes An Interpretable And Explainable Multi-class Skin Lesion Classification Model For The HAM10000 Dataset. Timely Detection Of Skin Cancer Is Important But Difficult Due To Class Imbalance And Uninterpretability Of Current...
Real-Time Violence Detection Using Deep Learning
Violence Detection In Surveillance Videos Has Become An Essential Requirement For Modern Safety Systems Due To Rising Security Concerns Across Public, Private, And Institutional Environments. Traditional CCTV Monitoring Systems Rely Heavily...
HIGH ACCURACY LIGHTWEIGHT IMAGE CLASSIFICATION USING AN IMPROVED YOLO AND VGG16
Waste Classification Plays A Crucial Role In Sustainable Waste Management By Categorizing Materials Based On Their Type To Ensure Proper Disposal And Recycling. Traditional Waste Sorting Methods, Which Rely Heavily On Manual Labor, Are Time...
Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet Blended Hybrid Model
Diabetic Retinopathy (DR) Represents A Critical Complication Of Diabetes Mellitus, Leading To Progressive Vision Impairment And Potential Blindness If Left Undetected. This Research Presents A Novel Multi-decision Inception-ResNet Blended H...
YOLO-BASED AUTOMATED PCB DEFECT DETECTION AND QUALITY ASSESSMENT SYSTEM FOR SMART MANUFACTURING
Printed Circuit Boards (PCBs) Serve As The Structural And Electrical Foundation Of Virtually Every Modern Electronic Device, Making Their Quality And Reliability Paramount In Both Consumer And Industrial Electronics. Defects Introduced Duri...
Plant Disease Detection Using Deep Learning
Agriculture Plays A Crucial Role In Global Food Security, And Plant Diseases Represent One Of The Most Significant Threats To Crop Productivity And Quality Worldwide. Traditional Methods Of Disease Identification Rely Heavily On Manual Insp...
Deep Learning-Based Eye Disease Detection
Eye Diseases Such As Diabetic Retinopathy (DR), Glaucoma, And Age-related Macular Degeneration (AMD) Remain Major Causes Of Vision Loss Globally. Early Screening Is Crucial But Limited By The Availability Of Trained Ophthalmologists. This P...
Brain Tumer Detection Using Machine Learning
Brain Tumors Result From The Abnormal And Uncontrolled Growth Of Cells. If Left Untreated During The Early Stages, They Can Become Life-threatening. Although Numerous Significant Advancements Have Been Achieved In This Field, Ensuring Accur...
COMPARISON STUDY OF VGG16 AND INCEPTIONV3 TRANSFER LEARNING MODELS FOR CLASSIFICATION OF PLANT LEAF DISEASE
Early Diagnosis Of Plant Diseases Carried Out By Professionals In Laboratory Trials Is Usually Not Suitable For Quick And Affordable Performance. Using Deep Learning, Leaf Images Are Used As Information Input. Training Deep Learning Models...
A SMART PHONE BASED SKIN DISEASE CLASSIFICATION USING MOBILENET CNN
The MobileNet Model Was Used By Applying Transfer Learning On The 7 Skin Diseases To Create A Skin Disease Classification System On Android Application. The Proponents Gathered A Total Of 3,406 Images And It Is Considered As Imbalanced Data...
COVID TESTER
This Paper Describes Medical Diagnosis Using Deep Learning Is Producing More Useful Information For Identification, Where The Problem Lies Is The Volume Of Data Needed. Major Aim Of Our Study Is To Look At Low Volume Data Sets And Use Them...
Driver Distraction Detection using Neural Network
Distracted Driving Is Known To Be The Leading Cause Of Motor Vehicle Accidents. It Is Found That Nearly One In Five Motor Vehicle Accidents Were Caused By Distracted Driving. Motivated To Reduce These Number Of Accidents, The Purpose Of Thi...