Jacek Jakubowski

associate professor

Wojskowa Akademia Techniczna im Jaroslawa Dabrowskiego

Poland

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About

Dr. Jacek Jakubowski is an associate professor at the Wojskowa Akademia Techniczna im Jarosława Dąbrowskiego in Poland. His research focuses on the application of imaging techniques and deep learning for the diagnosis of Parkinson’s disease, as well as the analysis of radar waveforms and sound processing for vehicle recognition. Dr. Jakubowski's recent work includes significant contributions to the understanding and diagnosis of Parkinson's disease through innovative methodologies.

Articles (11)

Year:

2024

Year:

2023

Year:

2023

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2022

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2021

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2021

Year:

2021

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2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (7)

Roman Kubacki

professor

Military University of Technology

POLAND

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Anna Kostera-Pruszczyk

Head of Department/Prof.

Medical University of Warsaw

POLAND

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Czesław Leśnik

Military University of Technology in Warsaw

POLAND

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Jerzy Jackowski

POLAND

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Ewelina Majda-Zdancewicz

assistant professor

Military University of Technology in Warsaw

POLAND

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Monika Nojszewska

Medical University of Warsaw

POLAND

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Anna Potulska-Chromik

Assistant Professor

Medical University of Warsaw

POLAND

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Jacek Jakubowski

Research Interests

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About

Articles (11)

Analysis of Handwriting for Recognition of Parkinson’s Disease: Current State and New Study

Automatic Classification of Frequency-Modulated Radar Waveforms Under Multipath Conditions

Application of imaging techniques to objectify the Finger Tapping test used in the diagnosis of Parkinson's disease

Analysis of hand and face images for the purpose of engineering support for Parkinson's disease diagnosis

A Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis

D-Dot Sensor Response Improvement in the Evaluation of High-Power Microwave Pulses

Deep learning vs feature engineering in the assessment of voice signals for diagnosis in Parkinson’s disease

Deep learning vs feature engineering in the assessment of voice signals for diagnosis in Parkinson’s disease

Przetwarzanie odpowiedzi sensora D-dot w ocenie własności impulsów HPM

Recognition of Moving Tracked and Wheeled Vehicles Based on Sound Analysis and Machine Learning Algorithms

A study on the calibration of an HPM meter based on a D-dot sensor and logarithmic RF power detector

Collaborators (7)

Roman Kubacki

Anna Kostera-Pruszczyk

Czesław Leśnik

Jerzy Jackowski

Ewelina Majda-Zdancewicz

Monika Nojszewska

Anna Potulska-Chromik

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