Recent improvements in the IoT are giving rise to the explosion of interconnected devices,
empowering many smart applications. IoT devices engender massive data that requires …

Deep learning models are efficient in learning the features that assist in understanding
complex patterns precisely. This study proposed a computerized process of classifying skin …

Nature–inspired optimization techniques play an essential role in the field of image
processing. It reduces the noise and blurring of images and also improves the image …

Abstract Artificial Neural Networks are a computational paradigm formed based on the
neural structure of intelligent organisms to gain better knowledge. Artificial neural networks …

Abstract Artificial Neural Network (ANN) is often used to solve forecasting cases. As in this
study. The artificial neural network used is with backpropagation algorithm. The study …

The number of older adults with Alzheimer's disease is increasing every year. The
associated memory problems cause many difficulties for Alzheimer's patients and their …

Gradient Descent (GD) is used to find the local minimum value, its purpose is to find
variables on the error function so that a function can model the data with minimum error …

In recent years, deep learning and computer vision have been applied to solve complex
problems across many domains. In urban studies, these technologies have been …

Recognizing vehicle's license plate is necessary because the number of vehicles is
increasing and it goes beyond human's ability to complete this task. The vehicle license …

This research uses Backpropagation Algorithm, Conjugate Gradient Fletcher-Reeves
(CGFR) and Resilient. The purpose of this research is to see how much iteration and …