Project selection has a critical role in the successful execution of the lean six sigma (LSS)
program in any industry. The poor selection of LSS projects leads to limited results and …

Sand theft or illegal mining in river dredging areas has been a problem in recent decades.
For this reason, increasing the use of artificial intelligence in dredging areas, building …

Urbanization has increased vehicular density, worsening parking difficulties and straining
infrastructure. Traditional parking systems often face inefficiencies, limited accessibility, and …

Presented is an automatic license plate recognition (ALPR) system using a deep learning
approach specifically tailored for jeep-type tricycles in General Santos City, a widely favored …

Automatic license plate recognition (ALPR) provides a way to extract the vehicle's number
plates using the computer vision technology. To achieve higher accuracy rates, ALPR is …

The aim of this novel master's Thesis is to detect the vehicles in infrared images using deep
learning based Convolutional Neural Network (CNN) algorithm. Infrared image data …

The aim of this master's thesis is to classify the cyber security using machine learning based
Support Vector Machine (SVM) algorithm and designing a resilient attack-free network for …

The purpose of this master's research thesis is to categorize the cutting-edge AI-based cyber
security network to reduce cybercrimes globally and provide a resilient cyberattack-free …

As automotive technology advances, the first step in addressing complicated security
challenges is licence plate recognition.. For security systems to be able to recognize and …

The objective of this report is to present an overview of the project, license plate recognition.
This system is to basically detect a vehicle using the information of the license plate in order …