The Journal Publications section lists Fadi Al Machot’s peer-reviewed articles.
JOURNAL-PUBLICATIONS
2025
Mahrin Tasfe, AKM Nivrito, Fadi Al Machot, Mohib Ullah, Faouzi Alaya Cheikh, and Habib Ullah, Deep Learning-Based Models for Paddy Disease Classification and Segmentation: An Experimental Review, IEEE Access, 2025.
Haris Hameed Mian, Fadi Al Machot, Habib Ullah, Arun Keprate, and Muhammad Salman Siddiqui, Advances in Computational Intelligence for Floating Offshore Wind Turbines Aerodynamics: Current State Review and Future Potential, Renewable and Sustainable Energy Reviews, vol. 224, p. 116098, Elsevier, 2025.
2024
Mahrin Tasfe, AKM Nivrito, Fadi Al Machot, Mohib Ullah, Habib Ullah, Deep Learning based Models for Paddy Disease Identification and Classification: A Systematic Survey, IEEE Access, 2024.
Haris Hameed.Mian, Muhammad Salman Siddiqui, Bernhard Stoevesandt, Habib Ullah, Fadi Al Machot, Hydrodynamic Response of Semi-Submersible FOWT Floaters: A Numerical Investigation of Wave and Mooring Parameter Dependencies, Journal of Physics (TORQUE), 2024.
Ali Deeb, Mohamed Salem, Abdalrahman Ibrahim, Joachim Pichler, Sergii Tkachov, Karaj Anjeza, Fadi Al Machot, Kyandoghere Kyamakya, A Graph Attention Network Based System for Robust Analog Circuits’ Structure Recognition Involving a Novel Data Augmentation Technique, IEEE Access, 2024.
Witesyavwirwa Vianney Kambale, Mohamed Salem, Taha Benarbia, Fadi Al Machot, Kyandoghere Kyamakya, A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy, Symmetry, 2024.
2023
Fadi Al Machot, Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER), arXiv preprint arXiv:2312.11651, 2023.
William Heyden, H Ullah, M. Salman Siddiqui, F adi Al Machot, An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning, IEEE Access, 2023
Dominik Kopczynski, Daniel Krause, Fadi Al Machot, Dominik Schwudke, Nils Hoffmann, Robert Ahrends, The Past and Future of Lipidomics Bioinformatics, Mass Spectrometry for Lipidomics: Methods and Applications, Wiley‐VCH GmbH, 2023.
Ali Deeb, Abdalrahman Ibrahim, Mohamed Salem, Joachim Pichler, Sergii Tkachov, Anjeza Karaj, Fadi Al Machot, Kyamakya Kyandoghere, A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy, Sensors, 2023.
Habib Khan, Mohib Ullah, Fadi Al-Machot, Faouzi Alaya Cheikh, Muhammad Sajjad, Deep learning based speech emotion recognition for Parkinson patient, Electronic Imaging, Society for Imaging Science and Technology, 2023.
Taha Benarbia, Kyandoghere Kyamakya, Fadi Al Machot, Witesyavwirwa Vianney Kambale, Modeling and Simulation of Shared Electric Automated and Connected Mobility Systems with Autonomous Repositioning: Performance Evaluation and Deployment, Sustainability, 2023.
2022
Fadi Al Machot, Mohib Ullah, Habib Ullah, HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning, Journal of Imaging, 2022.
Rafi Ullah, Sultan Daud Khan, Mohib Ullah, Fadi Al-Machot, Habib Ullah, Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking, IEEE Access, 2022.
Nils Hoffmann, Gerhard Mayer, Canan Has, Dominik Kopczynski, Fadi Al Machot, Dominik Schwudke, Robert Ahrends, Katrin Marcus, Martin Eisenacher, Michael Turewicz, A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics, Metabolites, 2022.
Mohammed R. Elkobaisi, Fadi Al Machot, Heinrich C. Mayr, Human Emotion: A Survey focusing on Languages, Ontologies, Datasets, and Systems, SN Computer Science, Springer, 2022.
2021
Mohammed R. Elkobaisi, Fadi Al Machot, Human emotion modeling (HEM): an interface for IoT systems, Journal of Ambient Intelligence and Humanized Computing, Springer, 2021.
2020
Fadi Al Machot, Mohammed R. Elkobaisi, Kyandoghere Kyamakya, Zero-Shot Human Activity Recognition Using Non-Visual Sensors, Sensors, 2020.
Nour Jnoub, Fadi Al Machot, Wolfgang Klas, A domain-independent classification model for sentiment analysis using neural models, Applied Sciences, 2020.
2019
Fadi Al Machot, Ali Elmachot, Mouhannad Ali, Elyan Al Machot and Kyandoghere Kyamakya, A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors, Sensors, 2019.
2018
Gabriel Machado Lunardi, Fadi Al Machot, Guilherme Medeiros Machado, Vincius Maran, Alencar Machado, Heinrich Mayr, Vladimir Shekhovtsov, Jose Palazzo, IoT-based Human Action Prediction, Internet of Things, Elsevier, 2018.
Judith Michael, Claudia Steinberger, Volodymyr Shekhovtsov, Fadi Al Machot, Suneth Ranasinghe, Gert Morak, The HBMS Story, Past and Future of an Active Assistance Approach, International Journal for Conceptual Modeling, German Informatics Society (GI), 2018.
Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Midhat Jdeed, Elyan Al Machot Kyandoghere Kyamakya, A Globally Generalized Emotion Recognition System Involving Different Physiological Signals, Sensors, 2018.
2017
Fadi Al Machot, Ahmad Haj Mosa, Mouhannad Ali and Kyandoghere Kyamakya, Activity Recognition in Sensor Data Streams for Active and Assisted Living Environments, IEEE Transactions on Circuits and Systems for Video Technology, 2017.
2016
Suneth Ranasinghe, Fadi Al Machot, Heinrich C. Mayr, A Review on Applications of Activity Recognition Systems with Regard to Performance and Evaluation, International Journal of Distributed Sensor Networks (IJDSN), 2016.
Fadi Al Machot, Mouhannad Ali, Ahmad Haj Mosa, Christopher Schwarzlmueller, Markus Gutmann and Kyandoghere Kyamakya: Real-Time Raindrop Detection based on Cellular Neural Networks for ADAS, Journal of Real-Time Image Processing, Springer, 2016.
Ahmad Haj Mosa, Kyandoghere Kyamakya, Ralf Junghans, Mouhannad Ali, Fadi Al Machot, Markus Gutmann, Soft Radial Basis Cellular Neural Network (SRB-CNN) based Robust Low-Cost Truck Detection using a Single Presence Detection Sensor, International Journal on Transportation Research Part C: Emerging Technologies, Elsevier, 2016.
2011
Fadi Al Machot, Kyandoghere Kyamakya, Real-Time Complex Event Detection Based on Answer Set Programming, ISAST Transactions on Computers and Intelligent Systems, University of Jyväskylä, 2011.
2010
Christopher Schwarzlmüller, Fadi Al Machot, Alireza Fasih, Kyandoghere Kyamakya, A Novel Support Vector Machine Classification Approach Involving CNN for Raindrop Detection, ISAST Transactions on Computers and Intelligent Systems, University of Jyväskylä, 2010.
Alireza Fasih, Christopher Schwarzlmüller, Kyandoghere Kyamakya, Fadi Al Machot, Video Enhancement for ADAS Systems based on FPGA and CNN Platform, International Journal of Signal and Image Processing, 2010.