Understanding and modelling course evaluation scores in higher education programs is crucial for enhancing and improving student experience and program outputs. This study investigates the influence ...

This project aims to detect and classify 16x16 pixel drawings into 10 categories (Sun, Moon, Tree, etc.) using linear and probabilistic models. The main focus was not just to use high-level libraries, ...

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 ...

Credit risk modeling is important for financial institutions. It represents the risk of borrower not being able to pay back the loan amount, credit card or other types of loans. In some cases, ...

Abstract: In this paper, an encoder-decoder structured multi-layer perceptron-sequential (MLP-SEQ) networks are proposed to model high-speed differential vias for estimating differential insertion ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...

Build your first neural network step by step! Learn how a perceptron works by coding it from the ground up—no libraries, just Python. FCC chair issues warning to ...

Abstract: The ability of the multilayer perceptron to model the inverse relation of a fictitious watershed is investigated. Comparison is done between a new formulation of data assimilation and the ...