A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

Abstract: Accurate flow field inversion in coastal acoustic tomography (CAT) is crucial for improving ocean environmental monitoring, ecological management, marine engineering safety, and disaster ...

ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...

To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

Pytorch implementation of the SGU-MLP Architecture from the paper "Spatial Gated Multi-Layer Perceptron for Land Use". The implementation follows the implementation of the original authors. It differs ...

Abstract: Nowadays, Artificial Intelligence (AI) is playing a vital role in data classification. In this work, a Python library called as Keras, is used for classification of MNIS T dataset, a ...

Google Cloud is developing a layer 1 blockchain platform called Google Cloud Universal Ledger (GCUL), designed for financial institutions and featuring Python-based smart contracts, Rich Widmann, ...

In this tutorial, we’ll harness Riza’s secure Python execution as the cornerstone of a powerful, tool-augmented AI agent in Google Colab. Beginning with seamless API key management, through Colab ...