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Papers tagged with "Earning"
LRFS : Online Shopper's Behaviour - Based Efficient Customer Segmentation Model
Online Shopping Has Become A Dominant Platform In Modern Digital Commerce. Understanding Customer Behavior Is Essential For Improving Marketing Strategies And Increasing Revenue. This Paper Proposes An Enhanced Customer Segmentation Model N...
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...
BLOOD GROUP DETECTION USING FINGERPRINT
Fingerprint-based Blood Group Detection Is An Innovative And Emerging Technique That Integrates Deep Learning And Image Processing To Predict An Individual's Blood Type From Fingerprint Patterns. This Method Leverages The Correlation Betwee...
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...
Driver Drowsiness Detection Using Machine Learning
Driver Drowsiness Is One Of The Leading Causes Of Road Accidents Worldwide, Posing A Significant Threat To Human Life And Road Safety. This Paper Presents A Real-time Driver Drowsiness Detection System Employing Convolutional Neural Network...
AI-Powered Twitter Content Moderation Using SBERT, CNN And Bi-LSTM With Severity-Based Alert System
Social Media Platforms Such As Twitter (now X) Generate Large Volumes Of Real-time Content, Including Spam, Malicious Links, And Harmful Messages. The Rapid Spread Of Such Content Poses Significant Challenges For Manual Moderation Due To Hi...
Face Identification In Movie Footage
Face Identification And Object Detection In Movie Footage Present Significant Challenges Owing To The Dynamic Nature Of Video Content, Complex Scene Transitions, Rapid Movements, And Occlusions. Existing Systems That Apply Image-based Algor...
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...
Privacy-Preserving Multiple Payment Fraud Detection Using LSTM-based Federated Learning.
This Paper Presents A Privacy-preserving Framework For Multiple Payment Fraud Detection Using Long Short-Term Memory (LSTM) And Federated Learning. The Model Captures Temporal Patterns In Transaction Data To Identify Fraudulent Activities E...
TRANSGUARD-RT: A REAL-TIME TRANSFORMER-DRIVEN INTRUSION DETECTION SYSTEM USING LIVE NETWORK TRAFFIC ANALYTICS
The Rapid Expansion Of Internet-based Communication And Interconnected Digital Infrastructures Has Significantly Increased Exposure To Advanced Cyber Threats, Including Malware Infiltration, Phishing Attempts, Denial-of-service Attacks, And...
AI-Based Surveillance System For Abandoned Object Detection Using YOLOv8
The Proliferation Of Surveillance Infrastructure Across Transportation Hubs, Commercial Complexes, And Civic Spaces Has Not Been Matched By A Proportional Improvement In The Capacity Of Human Operators To Effectively Monitor Multiple Video...
Cyber Threat Intelligence System Using CNN-LSTM Deep Learning Model
Cyber Threat IntelligenceThe Rapid Evolution Of Cyber Threats, Including Malware, Phishing Attacks, Distributed Denial Of Service (DDoS), And Advanced Persistent Threats, Has Made Traditional Security Mechanisms Less Effective. Conventional...
“Trashbot” The Smart Dustbin
As Global Urban Populations Expand, The Inefficiencies Of Traditional, Stationary Waste Management Systems Have Become Increasingly Apparent, Often Resulting In Environmental Degradation And Public Health Risks. To Address These Limitations...
CONSEQUENCE INTELLIGENCE ENGINE FOR PREDICTING DECISION IMPACT IN COMPLEX SYSTEMS
Strategic Decision-making In Complex Organizational Environments Is Inherently Associated With Risk And Uncertainty. Despite Widespread Adoption Of Decision Support Systems, Most Existing Tools Focus On Structuring Decisions Rather Than Pre...