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Computer Science

D-Index
42
Citations
7019
World Ranking
8428
National Ranking
511

Overview

Maysam F. Abbod is affiliated with Brunel University London in the United Kingdom. Their research spans multiple disciplines, with a particular focus on engineering, medicine, and computer science. Abbod's extensive work covers a total of 102 publications in engineering, 62 in medicine, and 56 in computer science, reflecting a multidisciplinary approach to scientific inquiry.

The scientist's specialization includes subfields such as electrical and electronic engineering, cardiology and cardiovascular medicine, artificial intelligence, biomedical engineering, and control and systems engineering. These subfields highlight a diverse expertise in both theoretical and applied aspects of technology and healthcare.

Abbod's research topics consist of:

  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control
  • EEG and Brain-Computer Interfaces
  • ECG Monitoring and Analysis
  • Imbalanced Data Classification Techniques
  • Advanced Wireless Communication Technologies
  • Advanced Neural Network Applications

Their publication record includes frequent contributions to journals such as Sensors, Electronics, IEEE Access, Energies, and the International Journal of Simulation Systems Science & Technology. The volume of publications in these venues indicates consistent engagement with topics related to sensor technologies, electronics, and energy systems.

Notable recent papers by Maysam F. Abbod include:

  • "Pain and Stress Detection Using Wearable Sensors and Devices-A Review," 2021, Sensors
  • "ECG arrhythmia classification by using a recurrence plot and convolutional neural network," 2020, Biomedical Signal Processing and Control
  • "Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks," 2020, Electronics
  • "A particle swarm optimisation-trained feedforward neural network for predicting the maximum power point of a photovoltaic array," 2020, Engineering Applications of Artificial Intelligence
  • "Data-driven based HVAC optimisation approaches: A Systematic Literature Review," 2021, Journal of Building Engineering

Frequent collaborators of Abbod include Jiann-Shing Shieh, Hamed Al-Raweshidy, Shou-Zen Fan, Sadeq D. Al-Majidi, and Mohamed Gaballa. These collaborations reflect interdisciplinary research efforts across engineering and applied sciences.

Best Publications

  • Survey of utilisation of fuzzy technology in medicine and healthcare

    Maysam F. Abbod;Diedrich G. von Keyserlingk;Derek A. Linkens;Mahdi Mahfouf

  • Classifiers consensus system approach for credit scoring

    Maher Ala'raj;Maysam F. Abbod

  • A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems

    Sadeq D. Al-Majidi;Sadeq D. Al-Majidi;Maysam F. Abbod;Hamed S. Al-Raweshidy

  • A survey of fuzzy logic monitoring and control utilisation in medicine

    M Mahfouf;M.F Abbod;D.A Linkens

  • Pain and Stress Detection Using Wearable Sensors and Devices—A Review

    Jerry Chen;Maysam Abbod;Jiann-Shing Shieh

  • ECG arrhythmia classification by using a recurrence plot and convolutional neural network

    Bhekumuzi M. Mathunjwa;Yin-Tsong Lin;Chien-Hung Lin;Maysam F. Abbod

  • A new hybrid ensemble credit scoring model based on classifiers consensus system approach

    Maher Ala'raj;Maysam F. Abbod

  • Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks

    Venkat Anil Adibhatla;Huan-Chuang Chih;Chi-Chang Hsu;Joseph Cheng

  • Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.

    James W. F. Catto;Derek A. Linkens;Maysam F. Abbod;Minyou Chen

  • Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation

    Shadi AlZubi;Naveed Islam;Maysam Abbod

  • Fuzzy Logic-Based Anti-Sway Control Design for Overhead Cranes

    Mahdi Mahfouf;C. H. Kee;Maysam F. Abbod;Derek A. Linkens

  • Application of artificial intelligence to the management of urological cancer.

    Maysam F. Abbod;James W.F. Catto;Derek A. Linkens;Freddie C. Hamdy

  • A particle swarm optimisation-trained feedforward neural network for predicting the maximum power point of a photovoltaic array

    Sadeq D. Al-Majidi;Sadeq D. Al-Majidi;Maysam F. Abbod;Hamed S. Al-Raweshidy

  • Microwave plasma system design and modelling for marine diesel exhaust gas abatement of NOx and SOx

    N Manivannan;W Balachandran;R Beleca;M Abbod

  • Data-driven based HVAC optimisation approaches: A Systematic Literature Review

    Maher Ala’raj;Mohammed Radi;Maysam F. Abbod;Munir Majdalawieh

  • Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once.

    Venkat Anil Adibhatla;Huan-Chuang Chih;Chi-Chang Hsu;Joseph Cheng

  • MANET routing protocols taxonomy

    Nagham H. Saeed;Maysam F. Abbod;Hamed S. Al-Raweshidy

  • Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

    Jeng-Rung Huang;Shou-Zen Fan;Maysam F. Abbod;Kuo-Kuang Jen

  • Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries.

    Quan Liu;Li Ma;Shou-Zen Fan;Maysam F Abbod

  • The Application of Artificial Intelligence to Microarray Data: Identification of a Novel Gene Signature to Identify Bladder Cancer Progression

    James W.F. Catto;Maysam F. Abbod;Peter J. Wild;Derek A. Linkens

  • Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy

    Qin Wei;Quan Liu;Shou-Zhen Fan;Cheng-Wei Lu

  • Artificial Intelligence in Predicting Bladder Cancer Outcome

    James W. F. Catto;Derek A. Linkens;Maysam F. Abbod;Minyou Chen

Frequent Co-Authors

Derek A. Linkens
Derek A. Linkens University of Sheffield
Abbes Amira
Abbes Amira University of Sharjah
Ahmed F. Zobaa
Ahmed F. Zobaa Brunel University London
Mark Meuth
Mark Meuth University of Sheffield
Amedeo Lancia
Amedeo Lancia University of Naples Federico II
Jenny L Donovan
Jenny L Donovan University of Bristol
Hak-Keung Lam
Hak-Keung Lam King's College London
Vasile Palade
Vasile Palade Coventry University

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