Python
An Approach to Control the PC with Hand Gesture Recognition using Computer Vision Technique
An Edge-Based Digital Twin Framework for Connected and Autonomous Vehicles: Design and Evaluation
Aim:
The aim of this project is to design and implement an edge-based digital twin system for monitoring and controlling the performance of a connected vehicle. Using sensors like the LM35 for engine temperature, IR sensors for speed measurement, and push buttons for speed control, the system optimizes real-time vehicle operations. It integrates the vehicle's real-time data into a digital twin for simulation, performance evaluation, and diagnostics. This approach enhances vehicle efficiency, safety, and real-time decision-making through continuous monitoring and control.
An Efficient and Generic Construction of Public Key Encryption with Equality Test Under the Random Oracle Model
An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud
An Energy- Efficient User Centric Approach High Capacity SG Heterogeneous Cellular Networks
An Improved Design for a Cloud Intrusion Detection System Using Hybrid Features Selection Approach With ML Classifier
An Integrated Multi-Task Model for Fake News Detection
An Integrated Privacy Preserving Attribute Based Access Control Framework Supporting Secure Deduplication
An IoT-Based Intelligent System for Real-Time Parking Monitoring and Automatic Billing
An IoT-based Sag Monitoring System for Overhead Transmission Lines
