Dariusz Mikołajewski

Associate Professor

Kazimierz Wielki University in Bydgoszcz

Poland

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Dariusz Mikołajewski is an Associate Professor at Kazimierz Wielki University in Bydgoszcz, Poland. His research encompasses areas such as affective computing, energy economics, artificial intelligence, and industrial transformation. Recent publications include work on decoding emotions from fNIRS, the role of generative AI in digital twins, and the application of fuzzy methods in IIoT security. Dr. Mikołajewski's contributions also focus on sustainability and efficiency in manufacturing and renewable energy integration.

Dariusz Mikołajewski

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Articles (30)

Decoding Emotions from fNIRS: A Survey on Tensor-Based Approaches in Affective Computing and Medical Applications

The Impact of Novel Artificial Intelligence Methods on Energy Productivity, Industrial Transformation and Digitalization Within the Framework of Energy Economics, Efficiency and Sustainability

Role of Generative AI in AI-Based Digital Twins in Industry 5.0 and Evolution to Industry 6.0

Review of Fuzzy Methods Application in IIoT Security—Challenges and Perspectives

From Shore-A 85 to Shore-D 70: Multimaterial Transitions in 3D-Printed Exoskeleton

Mechanical Properties of Collagen Implant Used in Neurosurgery Towards Industry 4.0/5.0 Reflected in ML Model

Personalization of AI-Based Digital Twins to Optimize Adaptation in Industrial Design and Manufacturing—Review

Energy Efficiency and Sustainability of Additive Manufacturing as a Mass-Personalized Production Mode in Industry 5.0/6.0

Leveraging Machine Learning in Next-Generation Climate Change Adaptation Efforts by Increasing Renewable Energy Integration and Efficiency

Adaptation of Fuzzy Systems Based on Ordered Fuzzy Numbers: A Review of Applications and Development Prospects

An ML-Based Solution in the Transformation towards a Sustainable Smart City

Digital Twins in 3D Printing Processes Using Artificial Intelligence

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

Aggregators Used in Fuzzy Control—A Review

Use of Machine Learning to Improve Additive Manufacturing Processes

Enhancing 3D Printing with Procedural Generation and STL Formatting Using Python

Review of the 6G-Based Supply Chain Management within Industry 4.0/5.0 Paradigm

Utilizing Selected Machine Learning Methods for Conicity Prediction in the Process of Producing Radial Tires for Passenger Cars

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

Concept of the Intelligent Support of Decision Making for Manufacturing a 3D-Printed Hand Exoskeleton within Industry 4.0 and Industry 5.0 Paradigms

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 in IIoT Management of Cybersecurity for Industry 4.0 and Industry 5.0 Purposes

Revolutionizing Tire Quality Control: AI’s Impact on Research, Development, and Real-Life Applications

Overview of 3D Printed Exoskeleton Materials and Opportunities for Their AI-Based Optimization

Personalization of the 3D-Printed Upper Limb Exoskeleton Design—Mechanical and IT Aspects

Analysis of Cyber Security Aspects of Data Transmission in Large-Scale Networks Based on the LoRaWAN Protocol Intended for Monitoring Critical Infrastructure Sensors

Selected determinants of occupational stress and burnout in physiotherapists and IT professionals

Neurophysiological determinants of occupational stress and burnout

Collaborators (20)

Janusz Dorożyński

Mariusz Pelc

Tadeusz Mikolajczyk

Krzysztof Tyburek

Małgorzata Jasiulewicz-Kaczmarek

Ewa Dostatni

Jakub Kopowski

Piotr Prokopowicz

Belco Sangho

Jacek Diakun

Marek Macko

Jakub Lewandowski

Izabela Rojek

Tomasz Paczkowski

Adam Sudoł

Mariusz Kaczmarek

Emilia Mikołajewska

Krzysztof Galas

Andrzej Łukaszewicz

JOANNA NOWAK

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