Maciej Zaborowicz

Prof.

University of Life Sciences in Poznań

Poland

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About

Prof. Maciej Zaborowicz is a faculty member at the University of Life Sciences in Poznań, Poland. His research areas encompass artificial intelligence applications in oral disease detection, smart agriculture through big data analytics, and advancements in dental technology. His recent works include studies on computer-aided structural diagnosis and the ecological impacts of microbial carriers in waste biodegradation.

Articles (14)

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2025

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2025

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2024

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2023

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2023

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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

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2021

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2021

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2021

Collaborators (9)

Piotr Boniecki

University of Life Sciences in Poznań

POLAND

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Jakub Frankowski

Institute of Natural Fibres and Medicinal Plants

POLAND

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Mariusz Robert Adamski

assistant professor

University of Life Sciences in Poznań

POLAND

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Jacek Przybył

University of Life Sciences in Poznań

POLAND

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Andrzej Przybylak

University of Life Sciences in Poznań

POLAND

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Tomasz Garbowski

Professor UPP

University of Life Sciences in Poznań

POLAND

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Krzysztof Pilarski

University of Life Sciences in Poznań

POLAND

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Agnieszka Sujak

Professor

University of Life Sciences in Poznań

POLAND

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Alicja Niewiadomska

associate professor

University of Life Sciences in Poznań

POLAND

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Maciej Zaborowicz

Research Interests

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About

Articles (14)

Artificial Intelligence Methods in the Detection of Oral Diseases on Pantomographic Images—A Systematic Narrative Review

Big Data Analytics and Machine Learning for Smart Agriculture

Use of Computer Digital Techniques and Modern Materials in Dental Technology in Restoration: A Caries-Damaged Smile in a Teenage Patient

Identification of Characteristic Parameters in Seed Yielding of Selected Varieties of Industrial Hemp (Cannabis sativa L.) Using Artificial Intelligence Methods

Neural Modelling in the Study of the Relationship between Herd Structure, Amount of Manure and Slurry Produced, and Location of Herds in Poland

Computer-Aided Structural Diagnosis of Bridges Using Combinations of Static and Dynamic Tests: A Preliminary Investigation

Eco-Friendly and Effective Diatomaceous Earth/Peat (DEP) Microbial Carriers in the Anaerobic Biodegradation of Food Waste Products

Evaluation of the Second Premolar’s Bud Position Using Computer Image Analysis and Neural Modelling Methods

Robust Estimation of the Chronological Age of Children and Adolescents Using Tooth Geometry Indicators and POD-GP

Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone Parameters

Image Analysis Methods in Classifying Selected Malting Barley Varieties by Neural Modelling

Neural Reduction of Image Data in Order to Determine the Quality of Malting Barley

Tooth and Bone Parameters in the Assessment of the Chronological Age of Children and Adolescents Using Neural Modelling Methods

Assessment of the Content of Dry Matter and Dry Organic Matter in Compost with Neural Modelling Methods

Collaborators (9)

Piotr Boniecki

Jakub Frankowski

Mariusz Robert Adamski

Jacek Przybył

Andrzej Przybylak

Tomasz Garbowski

Krzysztof Pilarski

Agnieszka Sujak

Alicja Niewiadomska

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