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Papers tagged with "Detect"
Wifi Deauthendication Detector
This Paper Presents A Low-cost Wi-Fi Security Monitoring System Designed To Detect Deauthentication Attacks In Real Time Using The ESP8266 NodeMCU Microcontroller. The Increasing Reliance On Wireless Networks Has Made Network Security An Ur...
AN AI-BASED HUMAN SCENE UNDERSTANDING MECHANISM FOR IMAGE CAPTIONING IN BLIND NAVIGATION AND ASSISTANCE
Visual Impairment Greatly Affects The Navigation And Interaction With The Surrounding Environment. Conventional Assistive Tools Are Generally Unintelligent, While Existing Digital Tools Are Generally Task-specific, Computationally Inefficie...
AN IOT-ENABLED SMART WOMEN SAFETY AND EMERGENCY RESPONSE SYSTEM
Women’s Safety Has Become A Major Social And Technological Concern Due To The Increasing Number Of Harassment, Assault, And Emergency Incidents In Public And Private Spaces. Traditional Safety Mechanisms Such As Helplines And Mobile Applica...
Portable SOC Log Analyzer For Isolated Networks (Offline SIEM Lite)
The Growing Complexity Of Cyber Threats Has Increased The Importance Of Continuous Monitoring And Analysis Of System Logs. Analyzing System Logs Reveals Patterns Of Activity That Help Uncover Unusual Behaviour And Possible Security Issues....
DESIGN OF VLSI-BASED HARDWARE DETECTION SYSTEM AGAINST POWER SIDE-CHANNEL ATTACKS
The Rapid Growth Of System-on-Chip (SoC) Technologies Has Increased Their Vulnerability To Advanced Physical And Power Side-channel Attacks, Which Can Compromise The Security Of Integrated Circuits. Conventional Countermeasures Often Involv...
HELMET AND NUMBER PLATE DETECTION USING DEEP LEARNING
The Project Titled "Helmet And Number Plate Detection Using Deep Learning" Employs Advanced Computer Vision And Deep Learning Techniques To Enhance Road Safety And Automate Traffic Law Enforcement. The System Is Developed Using Python And U...
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...
WATER QUALITY AND WATER LEAKAGE MONITORING SYSTEM USING IOT
This Paper Presents The Design And Implementation Of An IoT-based Water Quality And Water Leakage Monitoring System. The System Utilizes An Arduino Uno Microcontroller Integrated With Turbidity, Flow, And Level Sensors To Continuously Monit...
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...