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Computer Science

D-Index
45
Citations
6806
World Ranking
7300
National Ranking
15

Overview

Adam Glowacz is affiliated with AGH University of Science and Technology in Poland. Their research primarily focuses on engineering with a significant emphasis on mechanical engineering, electrical and electronic engineering, control and systems engineering, biomedical engineering, and mechanics of materials.

The main topics of their research include:

  • Machine Fault Diagnosis Techniques
  • Engineering Diagnostics and Reliability
  • Gear and Bearing Dynamics Analysis
  • Thermography and Photoacoustic Techniques
  • IoT-based Smart Home Systems
  • Autonomous Vehicle Technology and Safety
  • Advanced machining processes and optimization

Notable recent publications include:

  • Fault diagnosis of electric impact drills using thermal imaging, 2020, Measurement
  • A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor, 2020, Shock and Vibration
  • IoT-Based Smart Waste Bin Monitoring and Municipal Solid Waste Management System for Smart Cities, 2020, Arabian Journal for Science and Engineering
  • Fault diagnosis of angle grinders and electric impact drills using acoustic signals, 2021, Applied Acoustics
  • A Novel High Gain Wideband MIMO Antenna for 5G Millimeter Wave Applications, 2020, Electronics

Frequent co-authors collaborating with Adam Glowacz include Muhammad Irfan, Wahyu Caesarendra, Saifur Rahman, Tariq Ali, and Maciej Sułowicz. These collaborations reflect a diverse network across various engineering and technology disciplines.

The scientist often publishes in several well-known venues, with a strong presence in Electronics, Sensors, Energies, Materials, and Sustainability. These outlets correspond with the broad interdisciplinary nature of their work.

Adam Glowacz has also contributed to book publications, including a title released by AGH University of Science and Technology: "Nauka - Technika - Technologia. Tom 5" published in 2022.

Best Publications

  • Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals

    Adam Glowacz;Witold Glowacz;Zygfryd Glowacz;Jaroslaw Kozik

  • Fault diagnosis of single-phase induction motor based on acoustic signals

    Adam Glowacz

  • Diagnosis of the three-phase induction motor using thermal imaging

    Adam Glowacz;Zygfryd Glowacz

  • A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor

    Omar AlShorman;Muhammad Irfan;Nordin Saad;D. Zhen

  • Fault diagnosis of electric impact drills using thermal imaging

    Adam Glowacz

  • Acoustic based fault diagnosis of three-phase induction motor

    Adam Glowacz

  • IoT-Based Smart Waste Bin Monitoring and Municipal Solid Waste Management System for Smart Cities

    Tariq Ali;Muhammad Irfan;Abdullah Saeed Alwadie;Adam Glowacz

  • Fault diagnosis of angle grinders and electric impact drills using acoustic signals

    Adam Glowacz;Ryszard Tadeusiewicz;Stanislaw Legutko;Wahyu Caesarendra

  • Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study:

    Omar AlShorman;Fahad Alkahatni;Mahmoud Masadeh;Muhammad Irfan

  • A Novel High Gain Wideband MIMO Antenna for 5G Millimeter Wave Applications

    Daniyal Ali Sehrai;Mujeeb Abdullah;Ahsan Altaf;Saad Hassan Kiani

  • Ventilation Diagnosis of Angle Grinder Using Thermal Imaging.

    Adam Glowacz

  • Novel Convolutional Neural Network (NCNN) for the Diagnosis of Bearing Defects in Rotary Machinery

    Anil Kumar;Govind Vashishtha;C. P. Gandhi;Yuqing Zhou

  • Diagnosis of stator faults of the single-phase induction motor using acoustic signals

    Adam Glowacz;Zygfryd Glowacz

  • Detection of Deterioration of Three-phase Induction Motor using Vibration Signals

    Adam Glowacz;Witold Glowacz;Jarosław Kozik;Krzysztof Piech

  • Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach

    Ayaz Hussain;Umar Draz;Tariq Ali;Saman Tariq

  • Diagnostics of stator faults of the single-phase induction motor using thermal images, MoASoS and selected classifiers

    Adam Glowacz;Zygfryd Glowacz

  • Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine

    Waqas Ahmad;Nasir Ayub;Tariq Ali;Muhammad Irfan

  • VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing

    Anil Kumar;C P Gandhi;Govind Vashishtha;Pradeep Kundu

  • IoT Based Smart Parking System Using Deep Long Short Memory Network

    Ghulam Ali;Tariq Ali;Muhammad Irfan;Umar Draz

  • Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19.

    Muhammad Irfan;Muhammad Aksam Iftikhar;Sana Yasin;Umar Draz

  • Fault Detection of Electric Impact Drills and Coffee Grinders Using Acoustic Signals

    Adam Glowacz

  • A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images

    Yassir Edrees Almalki;Abdul Qayyum;Muhammad Irfan;Noman Haider

Frequent Co-Authors

Jose A. Antonino-Daviu
Jose A. Antonino-Daviu Universitat Politècnica de València
Muhammad Awais
Muhammad Awais University of Surrey
Muhammad Shiraz
Muhammad Shiraz Federal Urdu University
Mahardhika Pratama
Mahardhika Pratama University of South Australia

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