Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
Published in: Journal of Intelligent Systems
Oct 04, 2023
The quality of the output produced by the multi-layer perceptron neural network depends on the careful selection of its weights and biases. The gradient descent technique is commonly used for choosing MLP’s optimal configuration, but it can suffer from being stuck in local optima and slow convergence toward promising regions in the search space. In this article, we propose two new optimization algorithms based on the moth-flame optimization algorithm (MFO), which mimics moths’ special navig...
Enhancement Of Pre-Trained Deep Learning Models To Improve Brain Tumor Classification
Published in: Informatica
Oct 01, 2023
The early detection of brain tumors is crucial due to their highly dangerous nature and the potential for life-threatening consequences if left undiagnosed. Brain tumors significantly shorten life expectancy and cause extensive damage. To accurately diagnose brain tumors, medical imaging techniques such as MRI and other diagnostic tests play a vital role in the classification process. Artificial intelligence, specifically deep learning and computer vision, offers valuable techniques fo...
AI-enabled framework for mobile network experimentation leveraging ChatGPT: Case study of channel capacity calculation for η-µ fading and co-channel interference
Published in: Electronics
Sep 29, 2023
Dragana Krstic
Nenad Petrovic
Suad Suljovic
Issam Al-Azzoni
Artificial intelligence has been identified as one of the main driving forces of innovation in state-of-the-art mobile and wireless networks. It has enabled many novel usage scenarios, relying on predictive models for increasing network management efficiency. However, its adoption requires additional efforts, such as mastering the terminology, tools, and newly required steps of data importing and preparation, all of which increase the time required for experimentation. Therefore, we aimed to au...