Work

Step-Ahead Forecasting of Wireless Signal Strength for Industrial AMRs: A Deep Learning Approach with LSTM and GRU Models

Year: 2025

Type: conference-paper

Source: International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)

DOI: 10.1109/inscit66472.2025.11180991

Authors: William Sciacca Garcia, Rogério Ballestrin, Vitor Camargo Nardelli, Ivan Müller

Institutions: Universidade Federal do Rio Grande do Sul, Serviço Nacional de Aprendizagem Industrial

Language: English

Topic: Wireless Networks and Protocols

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

OpenAlex ID: W7084066302

FWCI:

Cites: 15

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