Hybrid control of a two-wheeled automatic-balancing robot with backlash feature. - Petar Durdevic; Zhenyu Yang 001 (SSRR, 2013)

Experimental modeling of a deoiling hydrocyclone system. - Mads V. Bram; Abdiladif A. Hassan; Dennis S. Hansen; Petar Durdevic; Simon Pedersen; Zhenyu Yang 001 (MMAR, 2015)

Experimental study of stable surfaces for anti-slug control in multi-phase flow. - Simon Pedersen; Petar Durdevic; Kasper Stampe; Sandra Lindberg Pedersen; Zhenyu Yang 001 (Int. J. Autom. Comput., 2016)

Operational performance of offshore de-oiling hydrocyclone systems. - Petar Durdevic; Simon Pedersen; Zhenyu Yang 001 (IECON, 2017)

Dynamic Oil-in-Water Concentration Acquisition on a Pilot-Scaled Offshore Water-Oil Separation Facility. - Petar Durdevic; Chitra S. Raju; Mads V. Bram; Dennis S. Hansen; Zhenyu Yang 001 (Sensors, 2017)

Multi-Phase Flow Metering in Offshore Oil and Gas Transportation Pipelines: Trends and Perspectives. - Lærke Skov Hansen; Simon Pedersen; Petar Durdevic (Sensors, 2019)

A Deep Neural Network Sensor for Visual Servoing in 3D Spaces. - Petar Durdevic; Daniel Ortiz Arroyo (Sensors, 2020)

Model-free H∞ tracking control for de-oiling hydrocyclone systems via off-policy reinforcement learning. - Shaobao Li; Petar Durdevic; Zhenyu Yang 001 (Autom., 2021)

Dynamic Analysis and Modeling of DNN-Based Visual Servoing Systems. - Petar Durdevic; Daniel Ortiz Arroyo (SAI (2), 2022)

Modeling phosphorous dynamics in a wastewater treatment process using Bayesian optimized LSTM. - Laura Debel Hansen; Mikkel Stokholm-Bjerregaard; Petar Durdevic (Comput. Chem. Eng., 2022)

Classical and Deep Learning based Visual Servoing Systems: a Survey on State of the Art. - Zakariae Machkour; Daniel Ortiz Arroyo; Petar Durdevic (J. Intell. Robotic Syst., 2022)

Trajectory Tracking of Underactuated VTOL Aerial Vehicles With Unknown System Parameters Via IRL. - Shaobao Li; Petar Durdevic; Zhenyu Yang 001 (IEEE Trans. Autom. Control., 2022)

Dynamic Reward in DQN for Autonomous Navigation of UAVs Using Object Detection. - Adam Lagoda; Seyedeh Fatemeh Mahdavi Sharifi; Thomas Aagaard Pedersen; Daniel Ortiz Arroyo; Shi Chang; Petar Durdevic (CoDIT, 2023)

A Region-Based Approach to Monocular Mapless Navigation Using Deep Learning Techniques. - Zakariae Machkour; Daniel Ortiz Arroyo; Petar Durdevic (CoDIT, 2023)

Efficient UAV Autonomous Navigation with CNNs. - Kamil Wojciech Mikolaj; Martin Lauersen; Tomer Tchelet; Daniel Ortiz Arroyo; Petar Durdevic (CoDIT, 2023)

Optimal State Estimation for DNN Visual Servoing Systems with Detection Loss. - Christian Novrup; Thomas Kjær Nowak; Daniel Ortiz Arroyo; Simon Lennart Sahlin; Petar Durdevic (ICCMA, 2023)

Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework. - Anju Rani; Daniel Ortiz Arroyo; Petar Durdevic (CoRR, 2023)

Imagery Dataset for Condition Monitoring of Synthetic Fibre Ropes. - Anju Rani; Daniel Ortiz Arroyo; Petar Durdevic (CoRR, 2023)

Design, Modelling and Control of an Amphibious Quad-Rotor for Pipeline Inspection. - Petar Durdevic; Shaobao Li; Daniel Ortiz Arroyo (CoRR, 2023)

Monocular Based Navigation System for Autonomous Ground Robots Using Multiple Deep Learning Models. - Zakariae Machkour; Daniel Ortiz Arroyo; Petar Durdevic (Int. J. Comput. Intell. Syst., 2023)

Multi-Step Simulation Improvement for Time Series Using Exogenous State Variables. - Esmaeel Mohammadi; Daniel Ortiz Arroyo; Mikkel Stokholm-Bjerregaard; Petar Durdevic (ICINCO (1), 2024)

Advancements in Point Cloud-Based 3D Defect Detection and Classification for Industrial Systems: A Comprehensive Survey. - Anju Rani; Daniel Ortiz Arroyo; Petar Durdevic (CoRR, 2024)

Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learning. - Esmaeel Mohammadi; Daniel Ortiz Arroyo; Mikkel Stokholm-Bjerregaard; Aviaja Anna Hansen; Petar Durdevic (CoRR, 2024)

Wastewater Treatment Plant Data for Nutrient Removal System. - Esmaeel Mohammadi; Anju Rani; Mikkel Stokholm-Bjerregaard; Daniel Ortiz Arroyo; Petar Durdevic (CoRR, 2024)

Time Series Dataset for Modeling and Forecasting of N2O in Wastewater Treatment. - Laura Debel Hansen; Anju Rani; Mikkel Stokholm-Bjerregaard; Peter Alexander Stentoft; Daniel Ortiz Arroyo; Petar Durdevic (CoRR, 2024)

Deep learning based simulators for the phosphorus removal process control in wastewater treatment via deep reinforcement learning algorithms. - Esmaeel Mohammadi; Mikkel Stokholm-Bjerregaard; Aviaja Anna Hansen; Per Halkjær Nielsen; Daniel Ortiz Arroyo; Petar Durdevic (Eng. Appl. Artif. Intell., 2024)

A survey of vision-based condition monitoring methods using deep learning: A synthetic fiber rope perspective. - Anju Rani; Daniel Ortiz Arroyo; Petar Durdevic (Eng. Appl. Artif. Intell., 2024)

Advancements in point cloud-based 3D defect classification and segmentation for industrial systems: A comprehensive survey. - Anju Rani; Daniel Ortiz Arroyo; Petar Durdevic (Inf. Fusion, 2024)

Application of Soft Actor-Critic algorithms in optimizing wastewater treatment with time delays integration. - Esmaeel Mohammadi; Daniel Ortiz Arroyo; Aviaja Anna Hansen; Mikkel Stokholm-Bjerregaard; Sébastien Gros; Akhil S. Anand; Petar Durdevic (Expert Syst. Appl., 2025)

Synthetic Fungi Datasets: A Time-Aligned Approach. - Anju Rani; Daniel Ortiz Arroyo; Petar Durdevic (CoRR, 2025)

FungalZSL: Zero-Shot Fungal Classification with Image Captioning Using a Synthetic Data Approach. - Anju Rani; Daniel Ortiz Arroyo; Petar Durdevic (CoRR, 2025)

CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text. - Anju Rani; Daniel Ortiz Arroyo; Petar Durdevic (CoRR, 2025)