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Papers tagged with "Red"
AI Powered Wearable Assistant For Visually Impaired People
Blind And Visually Impaired Individuals Face Continuous Challenges In Their Everyday Lives, Especially When Identifying People, Detecting Obstacles, And Recognizing Currency, Which Significantly Affects Their Independence And Confidence. Tr...
AI-BIOSENTRY: A DECENTRALIZED IOT-BASED MULTI-MODAL SYSTEM FOR REAL-TIME RIPENESS MONITORING
Agricultural Sustainability Is Challenged By Nearly 40% Post-harvest Losses Due To Inefficient Manual And Destructive Ripeness Testing. Bio-Sentry Is An Advanced, Non-destructive Automated System Designed To Bridge This Gap Through A Multi-...
VALIDITY OF PEER FEEDBACK IN ASSESSING PRESENTATION SKILLS OF ESL ADULT LEARNERS
Student-centered Learning Plays A Major Role With The Development Of The Education System, Especially In Learning English As Second Language (ESL) Contexts. Here, The Learner Is Also Entrusted With Much Responsibility In The Teaching/learni...
Digital Twin Driven Hybrid LSTM And Isolation Forest Framework For Predictive Failure Detection And Autonomous Self Healing In Servers
Cloud Server Infrastructures Form The Foundation For Technical Services, Where The Services Will Be Highly Available, Critical For Business Continuity And User Satisfaction. Traditional Systems Notify The User After The Failures Had Occurre...
Wearable Non-invasivs Glucose Monitoring Using Optical Sensing
Non-invasive Glucose Monitoring Remains A Critical Challenge In Biomedical Engineering Due To The Complex Interaction Of Light With Biological Tissues And The Weak Specificity Of Glucose-related Optical Signals. This Paper Presents The Desi...
AI-Powered Inventory Management System- Ezze Buy
This Paper Presents The Design, Architecture, And Full-stack Implementation Of EzzeBuy, A Web-based AI-powered Inventory Management And Sales Prediction Platform. The System Integrates A Long Short-Term Memory (LSTM) Neural Network Backend...
Inductive Based Industrial Automation
Unanticipated Machinery Failures In Industrial Environments, Arising From Overheating, Excessive Vibration, Electrical Faults, Or Fire, Can Result In Severe Equipment Damage, Operational Downtime, And Safety Hazards. This Study Presents A N...
AI-Based Supply Chain Risk Prediction System Using Machine Learning
Supply Chain Systems Are Highly Vulnerable To Disruptions Caused By Factors Such As Transportation Delays, Traffic Congestion, Weather Conditions, And Inventory Fluctuations. Traditional Risk Assessment Methods Are Largely Manual, Time-cons...
AI-Based Financial Health & Investment System
The AI-Based Personal Finance Besides Investment Planning System Operates As A Working Prototype Designed To Enhance The Detection Of Individual Credit Risk And Support Long-term Solvency Through An Automated Financial Structure. While Trad...
Smart AI – Powered Health Care System
- This Paper Presents A Smart AI-Based Healthcare System Designed To Enhance Disease Prediction And Support Clinical Decision-making Using Machine Learning Techniques. The System Analyzes Patient Data Such As Symptoms, Medical History, And...
Ensemble Machine Learning For NIFTY-50 Price Forecasting And Trend Classification: A Flask-Deployed Decision Support System
Stock Market Forecasting Poses A Significant Challenge Due To The Non-linear, High-volatility Nature Of Financial Time Series. This Paper Presents An End-to-end Machine Learning Pipeline For Predicting NIFTY-50 Closing Prices And Next-day D...
Legal Judgment Prediction System Using Machine Learning
This Research Describes The Design And Implementation Of A Machine Learning-based Legal Judgment Prediction System That Includes Past Case Retrieval And Legal Reasoning Methods. Traditional Legal Research Relies On Manual Case Analysis And...
A Hybrid Deep Learning Model For Detecting Credit Card Fraud Using CNN–BiLSTM With An Attention Mechanism And Focal Loss Optimization
Detecting Credit Card Fraud Is A Complex Task Due To The Significant Imbalance In Data And The Constantly Changing Nature Of Fraudulent Activities. This Research Introduces A Hybrid Deep Learning Model That Combines CNN, BiLSTM, And An Atte...
A Comparative Design And Analysis Of Pre-Engineered Building (PEB) And Conventional Building (CEB)
This Paper Mainly Focuses On The PEB Concept And CSB Concept. The Pre- Engineered Building (PEB) Concept Is A New Conception Of Single-story Industrial Building Construction. This Methodology Is Versatile Due To Its Lightweight And Economic...
DEEP LEARNING-DRIVEN PREDICTIVE MAINTENANCE FOR ARTIFICIAL YARN MACHINE WITH REAL-TIME IOT DEPLOYMENT
Predictive Maintenance Has Emerged As A Critical Requirement In Modern Textile Manufacturing To Minimize Machine Downtime And Improve Operational Efficiency. This Research Presents A Deep Learning–based Predictive Maintenance System For Art...