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ORCIDMaysam F. Abbod
Myasam F. Abbod – Maysam Abbod
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2020 – today
- 2024
[j74]Roba Zayed, Maysam Abbod:
Air Quality Index Prediction Using DNN-Markov Modeling. Appl. Artif. Intell. 38(1) (2024)- [j73]Ioana Cretu
, Alexander Tindale, Wamadeva Balachandran, Maysam Abbod, Ashraf W. Khir, Hongying Meng:
Synthesis of Multimodal Cardiological Signals Using a Conditional Wasserstein Generative Adversarial Network. IEEE Access 12: 133994-134007 (2024) - [j72]Imene Mecheter, Maysam Abbod, Habib Zaidi, Abbes Amira:
Transfer learning from T1-weighted to T2-weighted Magnetic resonance sequences for brain image segmentation. CAAI Trans. Intell. Technol. 9(1): 26-39 (2024) - [j71]Anthony Bawa, Konstantinos Banitsas, Maysam Abbod:
A Movement Classification of Polymyalgia Rheumatica Patients Using Myoelectric Sensors. Sensors 24(5): 1500 (2024) - 2023
- [j70]Atefeh Momenikorbekandi, Maysam F. Abbod:
A Novel Metaheuristic Hybrid Parthenogenetic Algorithm for Job Shop Scheduling Problems: Applying an Optimization Model. IEEE Access 11: 56027-56045 (2023) - [j69]Omar M. T. Abdel Deen, Wei-Horng Jean, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh:
Pain scores estimation using surgical pleth index and long short-term memory neural networks. Artif. Life Robotics 28(3): 600-608 (2023) - [j68]Bhekumuzi M. Mathunjwa, Yin-Tsong Lin, Chien-Hung Lin, Maysam F. Abbod, Muammar Sadrawi, Jiann-Shing Shieh:
Automatic IHR-based sleep stage detection using features of residual neural network. Biomed. Signal Process. Control. 85: 105070 (2023) - [j67]Mansour Naser Alraja, Usman Javed Butt, Maysam Abbod:
Information security policies compliance in a global setting: An employee's perspective. Comput. Secur. 129: 103208 (2023) - [j66]Mohamed Gaballa, Maysam Abbod, Ammar Aldallal:
A Study on the Impact of Integrating Reinforcement Learning for Channel Prediction and Power Allocation Scheme in MISO-NOMA System. Sensors 23(3): 1383 (2023) - [j65]Mohamed Gaballa, Maysam Abbod:
Simplified Deep Reinforcement Learning Approach for Channel Prediction in Power Domain NOMA System. Sensors 23(21): 9010 (2023) - 2022
- [j64]Imene Mecheter, Maysam Abbod, Abbes Amira, Habib Zaidi:
Deep learning with multiresolution handcrafted features for brain MRI segmentation. Artif. Intell. Medicine 131: 102365 (2022) - [j63]Imene Mecheter, Maysam Abbod, Habib Zaidi, Abbes Amira:
Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation. Neurocomputing 491: 232-243 (2022) - [j62]Maher Ala'raj, Maysam F. Abbod, Munir Majdalawieh, Luay Jum'a:
A deep learning model for behavioural credit scoring in banks. Neural Comput. Appl. 34(8): 5839-5866 (2022) - [j61]Bhekumuzi M. Mathunjwa, Yin-Tsong Lin, Chien-Hung Lin, Maysam F. Abbod, Muammar Sadrawi, Jiann-Shing Shieh:
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features. Sensors 22(4): 1660 (2022) - [j60]Maysam Abbod, Jiann-Shing Shieh:
Special Issue "Advanced Signal Processing in Wearable Sensors for Health Monitoring". Sensors 22(6): 2189 (2022) - [j59]Mohamed Gaballa, Maysam Abbod, Ammar Aldallal:
Investigating the Combination of Deep Learning for Channel Estimation and Power Optimization in a Non-Orthogonal Multiple Access System. Sensors 22(10): 3666 (2022) - [j58]Wei-Horng Jean, Peter Sutikno, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh:
Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index. Sensors 22(15): 5496 (2022) - [j57]Yi-Feng Chen, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh, Mingming Zhang:
Nonlinear Analysis of Electroencephalogram Variability as a Measure of the Depth of Anesthesia. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [c65]Mohamed Gaballa, Maysam Abbod, Sadeq Alnasur:
Hybrid Deep Learning for Channel Estimation and Power Allocation for MISO-NOMA System. FNWF 2022: 361-366 - [c64]Mohamed S. Emara, James Rennie, Ron Wilkes, Mohamed Darwish, Maysam Abbod:
Design Actuator Control Unit for Aerospace Applications: Automatic Closed-Loop Control for Permanent Magnet Brushless DC Motors. CCTA 2022: 299-304 - [c63]Ioana Cretu, Alexander Tindale, Maysam Abbod, Ashraf W. Khir, Mark J. Mason, Wamadeva Balachandran, Hongying Meng:
Techniques to aid prediction of pacing dependence at 30 days in patients requiring pacemaker implantation after cardiac surgery. EMBC 2022: 2647-2650 - [c62]Mohamed Gaballa, Maysam Abbod, Ammar Aldallal:
Deep Learning and Power Allocation Analysis in NOMA System. ICUFN 2022: 196-201 - 2021
- [j56]Andrews O. Nyanteh, Maozhen Li, Maysam F. Abbod, Hamed S. Al-Raweshidy:
CloudSimHypervisor: Modeling and Simulating Network Slicing in Software-Defined Cloud Networks. IEEE Access 9: 72484-72498 (2021) - [j55]Bhekumuzi M. Mathunjwa, Yin-Tsong Lin, Chien-Hung Lin, Maysam F. Abbod, Jiann-Shing Shieh:
ECG arrhythmia classification by using a recurrence plot and convolutional neural network. Biomed. Signal Process. Control. 64: 102262 (2021) - [j54]Meghna Roy Chowdhury, Ravichandra Madanu, Maysam F. Abbod, Shou-Zen Fan, Jiann-Shing Shieh:
Deep learning via ECG and PPG signals for prediction of depth of anesthesia. Biomed. Signal Process. Control. 68: 102663 (2021) - [j53]Maher Ala'raj, Maysam F. Abbod, Munir Majdalawieh:
Modelling customers credit card behaviour using bidirectional LSTM neural networks. J. Big Data 8(1): 69 (2021) - [j52]Jerry Chen, Maysam Abbod, Jiann-Shing Shieh:
Pain and Stress Detection Using Wearable Sensors and Devices - A Review. Sensors 21(4): 1030 (2021) - [j51]Muammar Sadrawi, Yin-Tsong Lin, Chien-Hung Lin, Bhekumuzi M. Mathunjwa, Ho-Tsung Hsin, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh:
Non-Invasive Hemodynamics Monitoring System Based on Electrocardiography via Deep Convolutional Autoencoder. Sensors 21(18): 6264 (2021) - [j50]Luiz G. Galvao, Maysam Abbod, Tatiana Kalganova, Vasile Palade, Md. Nazmul Huda:
Pedestrian and Vehicle Detection in Autonomous Vehicle Perception Systems - A Review. Sensors 21(21): 7267 (2021) - [c61]Mohamed Gaballa, Maysam Abbod, Ahmed Jameel, Nirvana Khaled:
Throughput Maximization & Power Optimization Analysis in Non-Orthogonal Multiple Access System. 5GWF 2021: 82-87 - [c60]Mohamed Gaballa, Maysam Abbod, Ahmed Jameel:
Power Optimization Analysis using Throughput Maximization in MISO Non-Orthogonal Multiple Access System. GLOBECOM (Workshops) 2021: 1-6 - [c59]Mohamed Gaballa, Maysam Abbod, Muna Albasman:
Power Allocation & MRC Analysis for Single Input Multi Output Non-Orthogonal Multiple Access System. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 168-173 - 2020
- [j49]Mhd Saeed Sharif, Maysam Abbod, Ali H. Al-Bayatti, Abbes Amira, Ahmed S. Alfakeeh, Bal Sanghera:
An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study. IEEE Access 8: 37482-37494 (2020) - [j48]Sadeq D. Al-Majidi, Maysam F. Abbod, Hamed S. Al-Raweshidy:
A particle swarm optimisation-trained feedforward neural network for predicting the maximum power point of a photovoltaic array. Eng. Appl. Artif. Intell. 92: 103688 (2020) - [j47]Bashar Alhnaity, Maysam Abbod:
A new hybrid financial time series prediction model. Eng. Appl. Artif. Intell. 95: 103873 (2020) - [j46]Maher Ala'raj, Munir Majdalawieh, Maysam F. Abbod:
Improving binary classification using filtering based on k-NN proximity graphs. J. Big Data 7(1): 15 (2020) - [j45]Imene Mecheter, Lejla Alic, Maysam Abbod, Abbes Amira, Jim Ji:
MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation. J. Digit. Imaging 33(5): 1224-1241 (2020) - [j44]Muammar Sadrawi, Yin-Tsong Lin, Chien-Hung Lin, Bhekumuzi M. Mathunjwa, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh:
Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography. Sensors 20(14): 3829 (2020) - [c58]Ahmed Alrashedi, Maysam Abbod:
The Effect of Using Artificial Intelligence on Performance of Appraisal System: A Case Study for University of Jeddah Staff in Saudi Arabia. IntelliSys (1) 2020: 145-154 - [c57]Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi:
Brain MR Imaging Segmentation Using Convolutional Auto Encoder Network for PET Attenuation Correction. IntelliSys (3) 2020: 430-440 - [c56]Abdulrahman Aljuaid, Maysam Abbod:
Artificial Intelligence-Based E-Recruitments System. IEEE Conf. on Intelligent Systems 2020: 144-147 - [c55]Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi:
Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. SSCI 2020: 2516-2520
2010 – 2019
- 2019
- [j43]Quan Liu, Jifa Cai, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh, Yuchen Kung, Longsong Lin:
Spectrum Analysis of EEG Signals Using CNN to Model Patient's Consciousness Level Based on Anesthesiologists' Experience. IEEE Access 7: 53731-53742 (2019) - [j42]Jabbar Al-Dulaimi, John Cosmas, Maysam Abbod:
Smart Health and Safety Equipment Monitoring System for Distributed Workplaces. Comput. 8(4): 82 (2019) - [j41]Yu-Hsuan Liao, Zhong-Chuang Wang, Fu-Gui Zhang, Maysam F. Abbod, Chung-Hung Shih, Jiann-Shing Shieh:
Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit. Sensors 19(8): 1866 (2019) - [j40]Jerry Chen, Maysam Abbod, Jiann-Shing Shieh:
Integrations between Autonomous Systems and Modern Computing Techniques: A Mini Review. Sensors 19(18): 3897 (2019) - [j39]Maysam Abbod, Jiann-Shing Shieh:
Special Issue "Advanced Signal Processing in Intelligent Systems for Health Monitoring". Sensors 19(21): 4727 (2019) - [c54]Usman Javed Butt, Maysam Abbod, Anzor Lors, Hamid Jahankhani, Arshad Jamal, Arvind Kumar:
Ransomware Threat and its Impact on SCADA. ICGS3 2019 - [c53]Raed Saadoon, Raid Sakat, Maysam Abbod, Hasanein Hasan:
Small Cells Handover Performance in Centralized Heterogeneous Network. ICICT (1) 2019: 431-447 - [c52]Raid Sakat, Raed Saadoon, Maysam Abbod:
Load Balancing Using Neural Networks Approach for Assisted Content Delivery in Heterogeneous Network. IntelliSys (2) 2019: 533-547 - 2018
- [j38]Quan Liu, Li Ma, Shou-Zen Fan, Maysam F. Abbod, Cheng-Wei Lu, Tzu-Yu Lin, Kuo-Kuang Jen, Shang-Ju Wu, Jiann-Shing Shieh:
Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia. J. Medical Syst. 42(8): 148:1-148:19 (2018) - [j37]Quan Liu, Li Ma, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh:
Electroencephalogram Similarity Analysis Using Temporal and Spectral Dynamics Analysis for Propofol and Desflurane Induced Unconsciousness. Symmetry 10(1): 15 (2018) - [j36]Muammar Sadrawi, Wei-Zen Sun, Matthew Huei-Ming Ma, Yu-Ting Yeh, Maysam F. Abbod, Jiann-Shing Shieh:
Ensemble Genetic Fuzzy Neuro Model Applied for the Emergency Medical Service via Unbalanced Data Evaluation. Symmetry 10(3): 71 (2018) - [c51]Wesam H. Al-Zubaedi, S. R. Aldaeabool, Maysam F. Abbod, Hamed S. Al-Raweshidy:
Reducing Energy Consumption and Operating Costs in C-RAN Based on DWDM/SCM-PON-RoF. CEEC 2018: 95-100 - [c50]Norah Alnaim, Maysam Abbod:
Mini gesture detection using neural networks algorithms. ICMV 2018: 1104121 - [c49]Mohamed H. AlMeer, Maysam F. Abbod:
Deep Learning in Classifying Depth of Anesthesia (DoA). IntelliSys (1) 2018: 160-169 - 2017
- [j35]Yousif Al-Dunainawi, Maysam F. Abbod, Ali Jizany:
A new MIMO ANFIS-PSO based NARMA-L2 controller for nonlinear dynamic systems. Eng. Appl. Artif. Intell. 62: 265-275 (2017) - [j34]Quan Liu, Yi-Feng Chen, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh:
EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery. Medical Biol. Eng. Comput. 55(8): 1435-1450 (2017) - [j33]Muammar Sadrawi, Chien-Hung Lin, Yin-Tsong Lin, Yi-Ta Hsieh, Chia-Chun Kuo, Jen-Chien Chien, Koichi Haraikawa, Maysam F. Abbod, Jiann-Shing Shieh:
Arrhythmia Evaluation in Wearable ECG Devices. Sensors 17(11): 2445 (2017) - [c48]Dhayaa Khudher, Roger S. Powell, Maysam Abbod:
Continuous landmines scanning using legged robot with manipulator arm over rough terrain. AIM 2017: 1495-1500 - [c47]Raed Saadoon, Raid Sakat, Maysam Abbod:
Small cell deployment for data only transmission assisted by mobile edge computing functionality. FGCT 2017: 1-6 - [c46]Luigi Amato, Nadarajah Manivannan, Wamadeva Balachandran, Francesco di Natale, Maysam Abbod, Manickam Jayamurthy:
DBD plasma for NOx adsorption and desorption-reduction using GAC for the marine emissions control. IAS 2017: 1-8 - [c45]Norah Alnaim, Maysam Abbod:
Gesture Recognition and Classification using Intelligent Systems. ICCSW 2017: 8:1-8:1 - [c44]Ahmed S. Al-Toma, Gareth A. Taylor, Maysam Abbod, Ioana Pisica:
A comparison of PI and fuzzy logic control schemes for field oriented permanent magnet synchronous generator wind turbines. ISGT Europe 2017: 1-6 - 2016
- [j32]Quan Liu, Yi-Feng Chen, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh:
A comparison of five different algorithms for EEG signal analysis in artifacts rejection for monitoring depth of anesthesia. Biomed. Signal Process. Control. 25: 24-34 (2016) - [j31]Maher Ala'raj, Maysam F. Abbod:
A new hybrid ensemble credit scoring model based on classifiers consensus system approach. Expert Syst. Appl. 64: 36-55 (2016) - [j30]Maher Ala'raj, Maysam F. Abbod:
Classifiers consensus system approach for credit scoring. Knowl. Based Syst. 104: 89-105 (2016) - [j29]Shadi Khaleghi Kerahroudi, Fan Li, Gareth A. Taylor, Maysam Abbod, Martin E. Bradley:
Evaluating the Novel Application of a Class of Sampled Regulators for Power System Control. IEEE Trans. Control. Syst. Technol. 24(5): 1573-1581 (2016) - [c43]Yousif Al-Dunainawi, Maysam F. Abbod:
Evolutionary Based Optimisation of Multivariable Fuzzy Control System of a Binary Distillation Column. UKSim 2016: 127-132 - [c42]Ranjit Singh Sarban Singh, Maysam F. Abbod, Wamadeva Balachandran:
Simulation of a New Proposed Voltage-Base Self-Intervention Technique with Increment and Decrement Voltage Conduction Method to Optimize the Renewable Energy Sources DC Output. UKSim 2016: 224-229 - 2015
- [j28]Cheng-Wei Huang, Wei-Hsin Chen, Heng-Hui Chu, Bernard C. Jiang, Maysam Abbod, Jiann-Shing Shieh:
Simple tai chi exercise for improving elderly postural stability via complexity index analysis. Artif. Life Robotics 20(1): 42-48 (2015) - [j27]Quan Liu, Xingran Cui, Yuan-Chao Chou, Maysam F. Abbod, Jinn Lin, Jiann-Shing Shieh:
Ensemble artificial neural networks applied to predict the key risk factors of hip bone fracture for elders. Biomed. Signal Process. Control. 21: 146-156 (2015) - [j26]Quan Liu, Yi-Feng Chen, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh:
EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks. Comput. Math. Methods Medicine 2015: 232381:1-232381:16 (2015) - [c41]Mohammed Al-Shammaa, Maysam F. Abbod:
Granular computing approach for the design of medical data classification systems. CIBCB 2015: 1-7 - [c40]Bashar Alhnaity, Maysam Abbod:
A novel hybrid ensemble model to predict FTSE100 index by combining neural network and EEMD. ECC 2015: 3021-3028 - [c39]Maher Ala'raj, Maysam Abbod:
A systematic credit scoring model based on heterogeneous classifier ensembles. INISTA 2015: 1-7 - [c38]Eatedal Alabdulkreem, Hamed S. Al-Raweshidy, Maysam F. Abbod:
MRAI Optimization for BGP Convergence Time Reduction without Increasing the Number of Advertisement Messages. SCSE 2015: 419-426 - [c37]Mohammed Al-Shammaa, Maysam F. Abbod:
Automatic generation of fuzzy classification rules using granulation-based adaptive clustering. SysCon 2015: 653-659 - [c36]Amal Alsaad, Maysam Abbod:
Enhanced Topic Identification Algorithm for Arabic Corpora. UKSim 2015: 90-94 - 2014
- [j25]Mohammad A. Mezher, Maysam F. Abbod:
Genetic folding for solving multiclass SVM problems. Appl. Intell. 41(2): 464-472 (2014) - [j24]Jamal Al-Enzi, Salah Al-Sharhan, Maysam Abbod:
A new intelligent artificial immune systems based ensemble for high-dimensional data clustering. Int. J. Hybrid Intell. Syst. 11(3): 167-181 (2014) - [c35]E. Alazawi, Maysam Abbod, Amar Aggoun, Mohammad Rafiq Swash, O. Abdul Fatah, J. C. Fernandez:
Super depth-map rendering by converting holoscopic viewpoint to perspective projection. 3DTV-Conference 2014: 1-4 - [c34]Eman Alazawi, John Cosmas, Mohammad Rafiq Swash, Maysam Abbod, Obaidullah Abdul Fatah:
3D-Interactive-depth generation and object segmentation from Holoscopic image. BMSB 2014: 1-5 - [c33]Eatedal A. Alabdulkreem, Hamed S. Al-Raweshidy, Maysam F. Abbod:
Using a fight-or-flight mechanism to reduce BGP convergence time. COMNET 2014: 1-4 - [c32]Ayidh Alanazi, Maysam Abbod:
E-Learning Repository System for Sharing Learning Resources Among Saudi Universities. eLEOT 2014: 10-18 - [c31]Adel Zidan, Maysam Abbod:
A cellular automata model to predict the growth trends in Tripoli-Libya. GSCIT 2014: 1-5 - [c30]Wamadeva Balachandran, Radu Beleca, Nadarajah Manivannan, Maysam Abbod:
Non-thermal plasma system for marine diesel engine emissions control. IAS 2014: 1-9 - [c29]Amal Alsaad, Maysam Abbod:
Arabic Text Root Extraction via Morphological Analysis and Linguistic Constraints. UKSim 2014: 125-130 - 2013
- [j23]Jeng-Rung Huang, Shou-Zen Fan, Maysam F. Abbod, Kuo-Kuang Jen, Jeng-Fu Wu, Jiann-Shing Shieh:
Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia. Entropy 15(9): 3325-3339 (2013) - [j22]Qin Wei, Quan Liu, Shou-Zen Fan, Cheng-Wei Lu, Tzu-Yu Lin, Maysam F. Abbod, Jiann-Shing Shieh:
Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy. Entropy 15(9): 3458-3470 (2013) - [j21]Ahmed S. Al-Araji, Maysam F. Abbod, Hamed S. Al-Raweshidy:
Applying posture identifier in designing an adaptive nonlinear predictive controller for nonholonomic mobile robot. Neurocomputing 99: 543-554 (2013) - [j20]Cheng-Wei Huang, Pei-Der Sue, Maysam F. Abbod, Bernard C. Jiang, Jiann-Shing Shieh:
Measuring Center of Pressure Signals to Quantify Human Balance Using Multivariate Multiscale Entropy by Designing a Force Platform. Sensors 13(8): 10151-10166 (2013) - [c28]Eman Alazawi, Amar Aggoun, Maysam Abbod, Mohammad Rafiq Swash, O. Abdul Fatah, J. C. Fernandez:
Scene depth extraction from Holoscopic Imaging technology. 3DTV-Conference 2013: 1-4 - [c27]E. Alazawi, Amar Aggoun, Maysam F. Abbod, O. Abdul Fatah, Mohammad Rafiq Swash:
Adaptive depth map estimation from 3D integral image. BMSB 2013: 1-6 - 2012
- [j19]Maysam F. Abbod, Jiann-Shing Shieh, Hak-Keung Lam:
Hybrid Biomedical Intelligent Systems. Adv. Fuzzy Syst. 2012: 320428:1 (2012) - [j18]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira, Habib Zaidi:
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Adv. Fuzzy Syst. 2012: 327861:1-327861:10 (2012) - [j17]Yu-Tzu Chang, Jin Lin, Jiann-Shing Shieh, Maysam F. Abbod:
Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction. Adv. Fuzzy Syst. 2012: 951247:1-951247:9 (2012) - [j16]Yuan-Jang Jiang, Matthew Huei-Ming Ma, Wei-Zen Sun, Kuan-Wu Chang, Maysam F. Abbod, Jiann-Shing Shieh:
Ensembled neural networks applied to modeling survival rate for the patients with out-of-hospital cardiac arrest. Artif. Life Robotics 17(2): 241-244 (2012) - [j15]Jia-Rong Yeh, Tzu-Yu Lin, Yun Chen, Wei-Zen Sun, Maysam F. Abbod, Jiann-Shing Shieh:
Investigating Properties of the Cardiovascular System Using Innovative Analysis Algorithms Based on Ensemble Empirical Mode Decomposition. Comput. Math. Methods Medicine 2012: 943431:1-943431:11 (2012) - [j14]Rong-Guan Yeh, Chung-Wu Lin, Maysam F. Abbod, Jiann-Shing Shieh:
Two-Dimensional Matrix Algorithm Using Detrended Fluctuation Analysis to Distinguish Burkitt and Diffuse Large B-Cell Lymphoma. Comput. Math. Methods Medicine 2012: 947191:1-947191:8 (2012) - [j13]Quan Liu, Qin Wei, Shou-Zen Fan, Cheng-Wei Lu, Tzu-Yu Lin, Maysam F. Abbod, Jiann-Shing Shieh:
Adaptive Computation of Multiscale Entropy and Its Application in EEG Signals for Monitoring Depth of Anesthesia During Surgery. Entropy 14(6): 978-992 (2012) - [j12]Qin Wei, Dong-Hai Liu, Kai-Hong Wang, Quan Liu, Maysam F. Abbod, Bernard C. Jiang, Ku-Ping Chen, Chuan Wu, Jiann-Shing Shieh:
Multivariate Multiscale Entropy Applied to Center of Pressure Signals Analysis: An Effect of Vibration Stimulation of Shoes. Entropy 14(11): 2157-2172 (2012) - [c26]Mohammad A. Mezher, Myasam F. Abbod:
A New Genetic Folding Algorithm for Regression Problems. UKSim 2012: 46-51 - 2011
- [j11]Maysam Abbod, Yu-Ren Chiou, Si-Hui Yang, Shou-Zen Fan, Jiann-Shing Shieh:
Developing a monitoring psychological stress index system via photoplethysmography. Artif. Life Robotics 16(3): 430-433 (2011) - [j10]Maysam F. Abbod, Kai-Yuan Cheng, Xingran Cui, Sheng-Jean Huang, Yin-Yi Han, Jiann-Shing Shieh:
Ensembled neural networks for brain death prediction for patients with severe head injury. Biomed. Signal Process. Control. 6(4): 414-421 (2011) - [j9]Shadi AlZu'bi, Naveed Islam, Maysam F. Abbod:
Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation. Int. J. Biomed. Imaging 2011: 136034:1-136034:18 (2011) - [c25]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira:
PET Volume Analysis Based on Committee Machine for Tumour Detection and Quantification. DeSE 2011: 135-140 - [c24]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira:
Neuro-Fuzzy Based Approach for Analysing 3D PET Volume. DeSE 2011: 158-163 - [c23]Jamal Al-Enezi, Maysam F. Abbod, Salah Al-Sharhan:
Artificial Immune Systems Applications in Cancer Research. DeSE 2011: 168-171 - [c22]Abdullah Masrub, Hamed S. Al-Raweshidy, Maysam Abbod:
Cognitive Radio Based MAC Protocols for Wireless Ad Hoc Networks. DeSE 2011: 465-469 - [c21]Ahmed S. Al-Araji, Maysam F. Abbod, Hamed S. Al-Raweshidy:
Design of an adaptive nonlinear PID controller for nonholonomic mobile robot based on posture identifier. ICCSCE 2011: 337-342 - 2010
- [j8]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira, Habib Zaidi:
Artificial Neural Network-Based System for PET Volume Segmentation. Int. J. Biomed. Imaging 2010: 105610:1-105610:11 (2010) - [c20]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira, Habib Zaidi:
Novel hybrid approach combining ANN and MRA for PET volume segmentation. APCCAS 2010: 596-599 - [c19]Shadi AlZu'bi, Naveed Islam, Maysam F. Abbod:
3D Multiresolution Analysis for reduced features segmentation of medical volumes using PCA. APCCAS 2010: 604-607 - [c18]Nagham H. Saeed, Maysam F. Abbod, Hamed S. Al-Raweshidy:
IMAN: An Intelligent MANET routing system. ICT 2010: 401-404 - [c17]Jiann-Shing Shieh, Chien-Kuang Wu, Maysam F. Abbod, Yeong-Ray Wen, Wei-Zen Sun:
Visual Analog Scale of Pain Intensity Prediction Based on Ensembled Artificial Neural Networks via i-Pain System. ICDM (Poster and Industry Proceedings) 2010: 27-31 - [c16]Mohammad A. Mezher, Myasam F. Abbod:
Genetic Folding: A New Class of Evolutionary Algorithms. SGAI Conf. 2010: 279-284 - [c15]A. J. Al-Shareef, Maysam F. Abbod:
Neural Networks Initial Weights Optimisation. UKSim 2010: 57-61
2000 – 2009
- 2009
- [p1]Jiann-Shing Shieh, Maysam F. Abbod, C. Y. Hsu, Sheng-Jean Huang, Yin-Yi Han, Shou-Zen Fan:
Monitoring and Control of Anesthesia Using Multivariable Self-Organizing Fuzzy Logic Structure. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 273-295 - 2008
- [c14]Nagham H. Saeed, Maysam F. Abbod, Hamed S. Al-Raweshidy:
Intelligent MANET Routing System. AINA Workshops 2008: 1260-1265 - [c13]Nagham H. Saeed, Maysam F. Abbod, Hamed S. Al-Raweshidy, Omar M. Raoof:
Intelligent MANET routing optimizer. BROADNETS 2008: 359-365 - [c12]Tawfeeq Al-Kanhal, Maysam Abbod:
Modelling and Optimisation of Reheat Furnace. EMS 2008: 9-14 - [c11]Nagham H. Saeed, Maysam F. Abbod, Hamed S. Al-Raweshidy:
Modeling MANET Utilizing Artificial Intelligent. EMS 2008: 117-122 - [c10]Maysam F. Abbod, Karishma Deshpande:
Using Intelligent Optimization Methods to Improve the Group Method of Data Handling in Time Series Prediction. ICCS (3) 2008: 16-25 - [c9]Tawfeeq Al-Kanhal, Maysam Abbod:
Multi-agent System for Dynamic Manufacturing System Optimization. ICCS (3) 2008: 634-643 - 2006
- [c8]Maysam F. Abbod, I. C. Howard, Derek A. Linkens, Mahdi Mahfouf:
Multi-scale CAFE Modelling for Hot Deformation of Aluminium Alloys. International Conference on Computational Science (1) 2006: 993-996 - 2005
- [c7]Maysam F. Abbod, Jim W. F. Catto, Min-You Chen, Derek A. Linkens, Freddie C. Hamdy:
Artificial intelligence techniques for the prediction of bladder cancer progression. ESANN 2005: 109-114 - 2004
- [j7]Maysam F. Abbod, J. Talamantes-Silva, Derek A. Linkens, I. C. Howard:
Modelling of plane strain compression (PSC) test for aluminium alloys using finite elements and fuzzy logic. Eng. Appl. Artif. Intell. 17(5): 447-456 (2004) - 2003
- [j6]Mahdi Mahfouf, Maysam F. Abbod, Derek A. Linkens:
Online elicitation of Mamdani-type fuzzy rules via TSK-based generalized predictive control. IEEE Trans. Syst. Man Cybern. Part B 33(3): 465-475 (2003) - [c6]Derek A. Linkens, Maysam F. Abbod:
An intelligent system for the control of depth of anaesthesia. ECC 2003: 2447 - 2002
- [j5]Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, Georgios Dounias:
Survey on the use of smart and adaptive engineering systems in medicine. Artif. Intell. Medicine 26(3): 179-209 (2002) - [j4]Mahdi Mahfouf, Maysam F. Abbod, Derek A. Linkens:
The design of supervisory rule-based control in the operating theatre via an anaesthesia simulator. Expert Syst. J. Knowl. Eng. 19(1): 11-20 (2002) - [c5]Maysam F. Abbod, J. Talamantes-Silva, Derek A. Linkens:
Modeling of aluminum rolling using finite elements and gray-box modeling technique. ISIC 2002: 321-326 - [c4]Maysam F. Abbod, Mahdi Mahfouf, Derek A. Linkens:
Intelligent Systems in Biomedicine. Advances in Computational Intelligence and Learning 2002: 437-460 - 2001
- [j3]Mahdi Mahfouf, Maysam F. Abbod, Derek A. Linkens:
A survey of fuzzy logic monitoring and control utilisation in medicine. Artif. Intell. Medicine 21(1-3): 27-42 (2001) - [j2]Maysam F. Abbod, Diedrich Graf v. Keyserlingk, Derek A. Linkens, Mahdi Mahfouf:
Survey of utilisation of fuzzy technology in Medicine and Healthcare. Fuzzy Sets Syst. 120(2): 331-349 (2001) - [c3]Mahdi Mahfouf, Maysam F. Abbod, Derek A. Linkens:
Multivariable adaptive fuzzy TSK model-based predictive control with feedforward. ECC 2001: 2469-2474 - 2000
- [j1]Mahdi Mahfouf, C. H. Kee, Maysam F. Abbod, Derek A. Linkens:
Fuzzy Logic-Based Anti-Sway Control Design for Overhead Cranes. Neural Comput. Appl. 9(1): 38-43 (2000) - [c2]Mahdi Mahfouf, J. Tenner, Derek A. Linkens, Maysam F. Abbod:
Optimal design of alloy steels using evolutionary computing. KES 2000: 357-360
1990 – 1999
- 1999
- [c1]Derek A. Linkens, Myasam F. Abbod, J. Metcalfe, B. Nichols:
Genetic algorithms for controlling the fabrication control of optical interference rugate filters. CEC 1999: 2116-2123
Coauthor Index
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