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Papers tagged with "Classification"
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...
AN INTERPRETABLE FINANCIAL DECISION SUPPORT SYSTEM FOR LOAN APPROVAL USING DATA ANALYTICS
The Process Of Loan Approval Plays A Vital Role In Financial Institutions, Requiring Accurate And Timely Decision-making. Traditional Systems Rely Heavily On Manual Evaluation, Which Often Leads To Inconsistency And Delays. This Study Prese...
Real-Time Sign Language Interpretation Using Deep Learning
Sign Language Serves As The Primary Mode Of Communication For Millions Of Hearing-impaired Individuals Worldwide, Yet The Gap Between The Deaf Community And The Hearing World Remains A Significant Barrier. This Paper Presents A Comprehensiv...
DEEP VISION-BASED SMART WASTE SORTING USING VGG16 AND YOLO FOR REAL-TIME APPLICATIONS
Waste Classification Is A Critical Component Of Effective Waste Management, As It Enables Materials To Be Properly Segregated For Disposal, Recycling, And Environmental Protection. Traditional Waste Sorting Methods Largely Depend On Manual...
DEEPTRACENET: AN AI DRIVEN FRAMEWORK FOR MATHEMATICAL FEATURE-BASED FORGERY DETECTION
The Rapid Growth Of Deepfake Technologies Has Raised Serious Concerns Regarding The Authenticity Of Digital Images And Videos, Impacting Information Security, Media Credibility, And Forensic Analysis. This Research Presents A Deep Learning-...
Smart Review Analysis System Using Machine Learning
The Rapid Proliferation Of Online Movie Reviews Has Created A Pressing Need For Automated Systems Capable Of Distinguishing Spoiler Content From Non-spoiler Opinions. This Paper Presents The Smart Review Analysis System (SRAS), An Intellige...
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...
Identifying Credit Card Frauds Employing Deep Learning
With Increased Internet Usage, Online Transactions Have Been On The Rise. One Of The Most Prevalent Problems Faced Is Credit Cards Frauds. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devic...
AI-Based Intelligent Multi-Disease Prediction System Using Adaptive Symptom Analysis - A Comparative Study Of Supervised Learning Algorithms For Clinical Disease Classification
The Integration Of Artificial Intelligence Into Clinical Healthcare Settings Has Gained Remarkable Momentum Over The Past Decade, Offering Unprecedented Opportunities To Augment Diagnostic Capabilities And Extend Medical Reach To Underserve...
FakeFinder: Context-Aware News Credibility Detection Using NLP And Machine Learning
With The Rapid Growth Of Digital Media And Social Networking Platforms, The Spread Of Misinformation And Fake News Has Become One Of The Most Pressing Challenges Of The Modern Era. Platforms Such As WhatsApp, Facebook, And Twitter Deliver B...
Deep Learning Approach For Detecting Fake Job Posting In Online Recruitment Platform
The Rapid Growth Of Online Job Portals Has Changedhow People Find Work, Making The Process Much Easier. However, This Easy Access Has Also Led To A Massive Increase In Fake Job Postings And Employment Scams. Scammers Use These Platforms To...
The Breast Cancer Recurrence Prediction
Breast Cancer Recurrence Remains One Of The Most Critical Challenges In Long-term Oncology Care, Posing Significant Risks Even After Successful Primary Treatment. While Advances In Early Diagnosis And Therapeutic Interventions Have Improved...
Intelligent Wild Animal Detection And Adaptive Risk Alert System Using Yolov8 And Deepsort
Human–wildlife Conflict Is A Growing Global Concern As Expanding Human Settlements Encroach Upon Natural Habitats. Traditional Wildlife Monitoring Methods—manual Patrols And Passive Camera Traps—suffer From Delayed Response, Limited Scalabi...
WildGuard AI: A Spatial Machine Learning Framework For Poaching Risk Assessment
Illegal Wildlife Poaching Remains One Of The Most Critical Threats To Biodiversity Conservation, Leading To Ecological Imbalance, Species Extinction, And Economic Loss In Protected Reserves. Traditional Anti-poaching Strategies Rely Heavily...
Smart Healthcare Appointment And Disease Prediction System
The Rapid Advancement Of Artificial Intelligence (AI) And Machine Learning (ML) Technologies Has Significantly Transformed Various Domains, Particularly The Healthcare Sector. Early Disease Detection And Timely Medical Consultation Play A C...