Tomasz Cieplak

Assistant Professor

Lublin University of Technology

Poland

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About

Dr. Tomasz Cieplak is an Assistant Professor at Lublin University of Technology in Poland. His research areas include energy efficiency in imaging technologies, machine learning applications in ultrasound and radio tomography, and advanced emotion analysis utilizing deep learning. He has authored several recent articles focusing on optimizing processes in smart buildings and logistics through innovative AI and machine learning techniques.

Articles (14)

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2024

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2024

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2024

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2024

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2023

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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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2020

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2020

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2020

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2020

Collaborators (6)

Michał Maj

Lecturer

POLAND

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Izolda Gorgol

Lublin University of Technology

POLAND

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Marcin Gąsior

Lublin University of Technology

POLAND

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Tomasz Rymarczyk

University of Economics and Innovation

POLAND

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Grzegorz Kłosowski

Assistant Professor

Lublin University of Technology

POLAND

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Dariusz Majerek

Lublin University of Technology

POLAND

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Tomasz Cieplak

Research Interests

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About

Articles (14)

Advanced emotion analysis: harnessing facial image processing and speech recognition through deep learning

Optimizing delivery time with an intelligent forecasting model: leveraging ai and machine learning for efficient logistics

Energy Efficiency in Measurement and Image Reconstruction Processes in Electrical Impedance Tomography

Energy Optimization in Ultrasound Tomography Through Sensor Reduction Supported by Machine Learning Algorithms

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes

Determining the Quality of a Dataset in Clustering Terms

Machine Learning-Enhanced Radio Tomographic Device for Energy Optimization in Smart Buildings

A Smart Building Resource Prediction, Navigation and Management System Supported by Radio Tomography and Computational Intelligence

A Smart Building Resource Prediction, Navigation and Management System Supported by Radio Tomography and Computational Intelligence

Methods of process mining and prediction using deep learning

Effect of features extraction on improving LSTM network quality in ECG signal classification

A hybrid device for the acquisition of electrical tomography measurement data

Analysis of vertical and horizontal flows of liquids and gases through a wire-mesh sensor

Logistic regression in image reconstruction in electrical impedance tomography

Collaborators (6)

Michał Maj

Izolda Gorgol

Marcin Gąsior

Tomasz Rymarczyk

Grzegorz Kłosowski

Dariusz Majerek

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