Showing results 1 to 20 of 92
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| Issue Date | Title | Author(s) |
| 2011 | 3D multiresolution statistical approaches for accelerated medical image and volume segmentation | Alzubi, S |
| 2012 | Adaptive computation of multiscale entropy and its application in EEG signals for monitoring depth of anesthesia during surgery | Liu, Q; Wei, Q; Fan, SZ; Lu, CW; Lin, TY; Abbod, MF; Shieh, JS |
| 2016 | Analyzing Heart Rate Variability Using a Photoplethysmographic Signal Measuring System | Chen, Y-F; Shieh, J-S; Fan, S-Z; Chiang, W-T; Abbod, MF; Liu, Q |
| 2010 | The application of artificial intelligence to microarray data: Identification of a novel gene signature to identify bladder cancer progression | Catto, JWF; Abbod, MF; Wild, PJ; Linkens, DA; Pilarsky, C; Rehman, I; Rosario, DJ; Denzinger, S; Burger, M; Stoehr, R; Knuechel, R; Hartmann, A; Hamdy, FC |
| 21-May-2021 | Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once | Adibhatla, VA; Chih, H-C; Hsu, C-C; Cheng, J; Abbod, MF; Shieh, J-S |
| 2010 | Artificial Immune Systems - Models, algorithms and applications | Al-Enezi, JR; Abbod, MF; Alsharhan, S |
| 2011 | Artificial immune systems applications in cancer research | Al-Enezi, J; Abbod, MF; Al-Sharhan, S |
| 2012 | Artificial immune systems based committee machine for classification application | Al-Enezi, Jamal |
| 2010 | Artificial neural network-based system for PET volume segmentation | Sharif, MS; Abbod, MF; Amira, A; Zaidi, H |
| 2012 | Artificial neural network-statistical approach for PET volume analysis and classification | Sharif, MS; Abbod, MF; Amira, A; Zaidi, H |
| 2012 | An assessment of pulse transit time for detecting heavy blood loss during surgical operation | Wang, CH; Lu, CW; Lin, TY; Abbod, MF; Shieh, JS |
| 2015 | Automatic generation of fuzzy classification rules using granulation-based adaptive clustering | Al-Shammaa, M; Abbod, MF |
| 4-Jun-2023 | Automatic IHR-based sleep stage detection using features of residual neural network | Mathunjwa, BM; Lin, Y-T; Lin, C-H; Abbod, MF; Sadrawi, M; Shieh, J-S |
| 17-Mar-2023 | Bacterial Foraging Algorithm for a Neural Network Learning Improvement in an Automatic Generation Controller | Al-Majidi, SD; Altai, HDS; Lazim, MH; Al-Nussairi, MK; Abbod, MF; Al-Raweshidy, HS |
| 12-May-2021 | CloudSimHypervisor: Modelling and Simulating Network Slicing in Software-Defined Cloud Networks | Nyanteh, AO; Li, M; Abbod, MF; Al-Raweshidy, H |
| 2007 | A combined neuro fuzzy-cellular automata based material model for finite element simulation of plane strain compression | Das, S; Abbod, MF; Zhu, Q; Palmiere, EJ; Howard, IC; Linkens, DA |
| 2007 | A combined neuro fuzzy-cellular automata based material model for finite element simulation of plane strain compression | Das, S; Abbod, MF; Howard, IC; Linkens, DA; Zhu, Q; Palmiere, E |
| 23-Jul-2022 | Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index | Jean, W-H; Sutikno, P; Fan, S-Z; Abbod, MF; Shieh, J-S |
| 2016 | A Comparison of Different Algorithms for EEG Signal Analysis for the Purpose of Monitoring Depth of Anesthesia | Liu, Q; Chen, YF; Fan, SZ; Abbod, MF; Shieh, JS |
| 2015 | Computational depth of anesthesia via multiple vital signs based on artificial neural networks | Sadrawi, M; Fan, SZ; Abbod, MF; Jen, KK; Shieh, JS |
