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Author

Maysam Abbod

Observed names: Abbod Maysam, Abbod, M, Abbod, Maysam, Abbod, Maysam F., Abbodm, MF, M Abbod, M F Abbod, M-F. Abbod, M. Abbod, M. F. ABBOD, M. F. Abbod, M.F Abbod, M.F. Abbod, Maysam Abbodb, Maysam F Abbod, Maysam F. Abbod, Maysam.F. Abbod, Myasam F. Abbod
Observed institutions: University of London, Homs University, King Abdulaziz University, St. Mary's University, Texas, Al-Balqa Applied University, University of Jeddah, Brunel University of London, Imam Abdulrahman Bin Faisal University, University of Sheffield
ORCID: 0000-0002-8515-7933
Observed ORCID: 0000-0002-8515-7933
OpenAlex ID: A5091511508
International Journal of Environmental Science and Development
2015 · Manivannan, N, Balachandran, W, et al. · International Journal of Environmental Science and Development · 304
Pain and Stress Detection Using Wearable Sensors and Devices—A Review
2021 · Jerry Chen, Maysam Abbod, et al. · Sensors · 237
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A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems
2018 · Sadeq D. Al-Majidi, Maysam F. Abbod, et al. · International Journal of Hydrogen Energy · 233
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ECG arrhythmia classification by using a recurrence plot and convolutional neural network
2020 · Bhekumuzi M. Mathunjwa, Yin-Tsong Lin, et al. · Biomedical Signal Processing and Control · 222
Survey of utilisation of fuzzy technology in Medicine and Healthcare
2001 · Maysam F. Abbod, Diedrich G. von Keyserlingk, et al. · Fuzzy Sets and Systems · 214
Classifiers consensus system approach for credit scoring
2016 · Maher Ala'raj, Maysam F. Abbod · Knowledge-Based Systems · 208
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Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks
2020 · Venkat Anil Adibhatla, Huan-Chuang Chih, et al. · Electronics · 189
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Promoter Hypermethylation Identifies Progression Risk in Bladder Cancer
2007 · David R. Yates, Ishtiaq Rehman, et al. · Clinical Cancer Research · 171
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A new hybrid ensemble credit scoring model based on classifiers consensus system approach
2016 · Maher Ala'raj, Maysam F. Abbod · Expert Systems with Applications · 165
A survey of fuzzy logic monitoring and control utilisation in medicine
2001 · M Mahfouf, M.F Abbod, et al. · Artificial Intelligence in Medicine · 150
Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.
2003 · James W F Catto, Derek A Linkens, et al. · PubMed · 122
Application of Artificial Intelligence to the Management of Urological Cancer
2007 · Maysam F. Abbod, James W.F. Catto, et al. · The Journal of Urology · 121
A particle swarm optimisation-trained feedforward neural network for predicting the maximum power point of a photovoltaic array
2020 · Sadeq D. Al-Majidi, Maysam F. Abbod, et al. · Engineering Applications of Artificial Intelligence · 119
Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation
2011 · Shadi AlZubi, Naveed Islam, et al. · International Journal of Biomedical Imaging · 118
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Data-driven based HVAC optimisation approaches: A Systematic Literature Review
2021 · Maher Ala’raj, Mohammed Radi, et al. · Journal of Building Engineering · 115
Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once
2021 · Venkat Anil Adibhatla, Huan-Chuang Chih, et al. · Mathematical Biosciences & Engineering · 112
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Modelling customers credit card behaviour using bidirectional LSTM neural networks
2021 · Maher Ala’raj, Maysam F. Abbod, et al. · Journal Of Big Data · 96
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A new hybrid financial time series prediction model
2020 · Bashar Alhnaity, Maysam Abbod · Engineering Applications of Artificial Intelligence · 90
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Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries
2018 · Quan Liu, Li Ma, et al. · PeerJ · 89
Fuzzy Logic-Based Anti-Sway Control Design for Overhead Cranes
2000 · M. Mahfouf, C. H. Kee, et al. · Neural Computing and Applications · 82
Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia
2013 · Jeng-Rung Huang, Shou-Zen Fan, et al. · Entropy · 74
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ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
2022 · Bhekumuzi M. Mathunjwa, Yin-Tsong Lin, et al. · Sensors · 72
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Spectrum Analysis of EEG Signals Using CNN to Model Patient’s Consciousness Level Based on Anesthesiologists’ Experience
2019 · Quan Liu, Jifa Cai, et al. · IEEE Access · 71
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Design of an Efficient Maximum Power Point Tracker Based on ANFIS Using an Experimental Photovoltaic System Data
2019 · Sadeq D. Al-Majidi, Maysam F. Abbod, et al. · Electronics · 68
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Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit
2019 · Yu-Hsuan Liao, Zhong-Chuang Wang, et al. · Sensors · 68
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Works count: 456
Citation count: 8,106
H-index: 45
I10-index: 177
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