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Papers tagged with "Xception"
Multimodal Fake News Detection Using DistilBERT And Xception Convolutional Neural Network
The Rapid Proliferation Of Misinformation Across Digital Platforms Poses A Growing Threat To Public Discourse, Democratic Processes, And Societal Trust. Traditional Fake News Detection Approaches Rely Exclusively On Textual Analysis, Failin...
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...
SIGN LANGUAGE AUTOMATION SYSTEM
Communication Barriers Exist For Individuals With Hearing And Speech Impairments Due To The General Population’s Lack Of Familiarity With Sign Language. Traditional Means Of Communication Rely On Human Interpreters, Which Are Often Unavaila...
MELANOMA SKIN CANCER PREDICTION
Melanoma Cancer, Specifically Melanoma, Represents A Significant Public Health Concern Due To Its Potentially Aggressive Nature. Early Detection And Accurate Diagnosis Are Crucial In Improving Patient Outcomes. In Recent Years, Machine Lear...
AN IMPROVED DETECTION FRAMEWORK OF COVID-19 PATIENTS USING MACHINE LEARNING-BASED ENSEMBLE TECHNIQUES
COVID-19, A Novel Coronavirus, Is Currently Considered To Be A More Dangerous & Lethal Illness For The Human Body. In December 2019, The Coronavirus, Which Is Believed To Have Originated In Wuhan, China, Traveled Fast Over The Globe And Kil...
IMPLEMENTATION OF FFBP NEURAL NETWORK BASE HAND SCRIPTED ALPHA NUMERAL RECOGNITION
This Paper Describe The Hand Scripted Number And Character Recognition Process Which Is Developed Using Feed Forward Back Propagation Neural Network. There Is Various Platform Like Record Rooms, Where It Demand For Handscripted Alpha Numera...