Marek Macko

Assoc. prof.

Kazimierz Wielki University in Bydgoszcz

Poland

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About

Dr. Marek Macko is an Associate Professor at Kazimierz Wielki University in Bydgoszcz, Poland. His research interests encompass mechanical properties of 3D-printed materials, energy management utilizing AI, and advancements in robotics. He has contributed significantly to the fields of sustainable energy, machine learning applications in manufacturing, and biodegradable materials in polymers. His recent publications reflect a commitment to innovative solutions for energy and material challenges.

Articles (14)

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2025

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2023

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2022

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2021

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2021

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2021

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2021

Collaborators (17)

Paweł Szroeder

Kazimierz Wielki University in Bydgoszcz

POLAND

Marek Macko

Research Interests

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About

Articles (14)

Mechanical Properties and Material Characteristics of 3D-Printed Titanium Capsules for Cancer Drug Delivery Applications

Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study

Green Energy Management in Manufacturing Based on Demand Prediction by Artificial Intelligence—A Review

Machine Learning in the Analysis of the Mechanical Shredding Process of Polymer Recyclates

Machine Learning- and Artificial Intelligence-Derived Prediction for Home Smart Energy Systems with PV Installation and Battery Energy Storage

Energy Sources of Mobile Robot Power Systems: A Systematic Review and Comparison of Efficiency

Hand Exoskeleton—Development of Own Concept

AI-Based Computational Model in Sustainable Transformation of Energy Markets

Recent Advances in Bipedal Walking Robots: Review of Gait, Drive, Sensors and Control Systems

Riboflavin as a Biodegradable Functional Additive for Thermoplastic Polymers

Impact of the Graphite Fillers on the Thermal Processing of Graphite/Poly(lactic acid) Composites

Influence of the Size of the Fiber Filler of Corn Stalks in the Polylactide Matrix Composite on the Mechanical and Thermomechanical Properties

Optimization of Extrusion-Based 3D Printing Process Using Neural Networks for Sustainable Development

The Development of Efficient Contaminated Polymer Materials Shredding in Recycling Processes

Collaborators (17)

Paweł Szroeder

Tadeusz Mikolajczyk

Krzysztof Tyburek

Ewa Dostatni

Jakub Kopowski

Aneta Raszkowska-Kaczor

Janusz Musiał

Daniel Kaczor

Jakub Lewandowski

Izabela Rojek

Tomasz Paczkowski

Dariusz Mikołajewski

Andrzej Trafarski

Mariusz Kaczmarek

Emilia Mikołajewska

Andrzej Łukaszewicz

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