首页|Studies from Jaume I University Provide New Data on Artificial Intelligence (Ano maly Detection Based On Artificial Intelligence of Things: a Systematic Literatu re Mapping)

Studies from Jaume I University Provide New Data on Artificial Intelligence (Ano maly Detection Based On Artificial Intelligence of Things: a Systematic Literatu re Mapping)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ar tificial Intelligence. According to news reporting from Castellon de la Plana,S pain,by NewsRx journalists,research stated,"Advanced Machine Learning (ML) al gorithms can be applied using Edge Computing (EC) to detect anomalies,which is the basis of Artificial Intelligence of Things (AIoT). EC has emerged as a solut ion for processing and analysing information on IoT devices." Funders for this research include MCIN/AEI,ERDF,a way of making Europe,Europe an Union (EU),European Union-Next GenerationEU/PRTR,Juan de la Cierva-Incorpor acion postdoctoral programme of the Ministerio de Ciencia e Innovacion-Spanish g overnment - MCIN/AEI,ValgrAI-Valencian Graduate School and Research Network for Artificial Intelligence (Generalitat Valenciana). The news correspondents obtained a quote from the research from Jaume I Universi ty,"This field aims to allow the implementation of Machine/Deep Learning (DL) m odels on MicroController Units (MCUs). Integrating anomaly detection analysis on Internet of Things (IoT) devices produces clear benefits as it ensures the use of accurate data from the initial stage. However,this process poses a challenge due to the unique characteristics of IoT. This article presents a Systematic Li terature Mapping of scientific research on the application of anomaly detection techniques in EC using MCUs. A total of 18 papers published over the period 2021 -2023 were selected from a total of 162 in four databases of scientific papers."

Castellon de la PlanaSpainEuropeAr tificial IntelligenceEmerging TechnologiesMachine LearningJaume I Universi ty

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.29)