Enabling Energy Efficiency in Manufacturing Environments Through Deep Learning Approaches: Lessons Learned. - M. T. Alvela Nieto; Elaheh Gholamzadeh Nabati; Dennis Bode; Marc Allan Redecker; André Decker; Klaus-Dieter Thoben (APMS (2), 2019)

Application of Virtual Reality Technologies for Achieving Energy Efficient Manufacturing: Literature Analysis and Findings. - Elaheh Gholamzadeh Nabati; M. T. Alvela Nieto; André Decker; Klaus-Dieter Thoben (APMS (1), 2020)

Energy Transparency in Compound Feed Production. - M. T. Alvela Nieto; Elaheh Gholamzadeh Nabati; Klaus-Dieter Thoben (APMS (5), 2021)

Assessing Energy Efficiency in Processes of the Agri-Food Sector: From Delivery of Natural Resources to Finished Products. - M. T. Alvela Nieto; Klaus-Dieter Thoben (APMS (2), 2022)

Detecting Ice on Wind Turbine Rotor Blades: Towards Deep Transfer Learning for Image Data. - Maria Teresa Alvela Nieto; Hannes Gelbhardt; Jan-Hendrik Ohlendorf; Klaus-Dieter Thoben (SYSINT, 2022)

ProQualAI: A software to compute qualitative and quantitative product features in process industries using deep learning image processing algorithms. - Maria Teresa Alvela Nieto; Hannes Gelbhardt; Jan-Hendrik Ohlendorf; Klaus-Dieter Thoben (SoftwareX, 2024)