Category: 7. Maths

Theory

A recurrent neural net is a general term for any neural net designed to analyze sequences or streams of data, one element at a time. The Elman Recurrent Neural Network¹¹, henceforward abbreviated as RNN, is a particularly simple design,…

Overview

In this work, we leverage inverse rendering and generative object priors to infer and track 3D multi-object scenes by jointly optimizing object pose, geometry and appearance. Our approach focuses on scenarios where an accurate scene…

This section presents the experimental results of the proposed XLM-RSA model across multiple evaluation criteria. We assess the model’s overall sentiment classification performance, aspect-based sentiment accuracy, cross-cultural sentiment…

A truth inference method aims to infer the accurate responses for a set of tasks, from the submissions provided by the contributors. The proposed truth inference model essentially captures the correct responses for structured and unstructured…

Electronic countermeasure mission model

This study designs a multi-UAV cooperative operation model for electronic countermeasure tasks, aiming to simulate complex red-side attacks and blue-side defense scenarios. The model considers not only the…

In this section, experiments were conducted using the proposed face recognition method based on the MTL model procedure to evaluate the performance of the system created using the proposed technique. MTL models trained on the Vggface2 dataset…

This study proposes a novel object detection workflow that integrates digital twin technology with traditional object detection methods to analyze and investigate structural damage in cultural heritage buildings, contributing to the research and…