Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: A Novel IoT-aware Smart Parking System based on the integration of RFID and WSN technologies
A Reservation-based Smart Parking System
Smart Parking Space Detection Using MATLAB and Internet of Things
IoT for intelligent traffic system
Intelligent Parking Management System Based on Image Processing
Navigation system using ZigBee wireless sensor network for parking
Comprehensive traffic management system: Real-time traffic data analysis using RFID
Smart parking systems: A survey
Development of an automatic parking system for vehicle
Architecture Design of the Vehicle Tracking System Based on RFID
Gradient-driven parking navigation using a continuous information potential field based on wireless sensor network
Intelligent traffic signal control system for ambulance using RFID and cloud
Integration of RFID and Wireless Sensor Networks
perceptive car parking booking system with iot technology .
Density Based Smart Traffic System with Real Time Data Analysis Using IoT
Design of Accurate Vehicle Location System Using RFID
Design of Intelligent Parking Management System Based on License Plate Recognition
Building sustainable parking lots with the Web of Things
Parking Easier by Using Context Information of a Smart City: Enabling Fast Search and Management of Parking Resources
IoT Based Intelligent Traffic Information System with the integration of SCOOT Control and Secured Automotive Communication System : A brief Analysis
Design and Proof of Concept of Parking Garage Capacity Network using Distributed Ultrasonic Devices Interfaced with MQTT Protocol
Joint image denoising using adaptive principal component analysis and self-similarity
india : towards universal health coverage 3 chronic diseases and injuries in india .
SPARK: A New VANET-Based Smart Parking Scheme for Large Parking Lots
Phase-Error Measurement and Compensation in PLL Frequency Synthesizers for FMCW Sensors—I: Context and Application
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks