Anibal Bregon

Associate Professor

Universidad de Valladolid

Spain

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About

Dr. Anibal Bregon is an Associate Professor at Universidad de Valladolid, Spain. His research interests encompass deep learning applications in agriculture and manufacturing, specifically focusing on weed detection, quality control in die casting processes, and aircraft trajectory prediction. He also explores the integration of digital twin technologies in traditional manufacturing environments to enhance fault monitoring and improve operational efficiency.

Articles (11)

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2025

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2021

Collaborators (4)

BELARMINO Pulido Junquera

Associate Professor

Universidad de Valladolid

SPAIN

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Miguel A. Martínez-Prieto

Associate Professor

Universidad de Valladolid

SPAIN

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Jorge Martín-García

Associate Professor

Universidad de Valladolid

SPAIN

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Diego García Álvarez

Universidad de Valladolid

SPAIN

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Anibal Bregon

Research Interests

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Articles (11)

Performance Analysis of Real-Time Detection Transformer and You Only Look Once Models for Weed Detection in Maize Cultivation

A deep learning-based approach for predicting in-flight estimated time of arrival

Digital Twin Learning Ecosystem: A cyber–physical framework to integrate human-machine knowledge in traditional manufacturing

Multi-route aircraft trajectory prediction using Temporal Fusion Transformers

Deep Learning Solution for Quality Control in a Die Casting Process

Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points

Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges

A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing

Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges

A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing

On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions

Collaborators (4)

BELARMINO Pulido Junquera

Miguel A. Martínez-Prieto

Jorge Martín-García

Diego García Álvarez

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