Showing results 7 to 26 of 92
< previous
next >
| Issue Date | Title | Author(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 |
| 21-Oct-2019 | Computational fluid dynamics based fuzzy control optimization of heat exchanger via genetic Algorithm | Sadrawi, M; Yunus, J; Khalil, M; Sofyan, SE; Abbod, MF; Shieh, JS |
| 2014 | A critical care monitoring system for depth of anaesthesia analysis based on entropy analysis and physiological information database | Wei, Q; Li, Y; Fan, S-Z; Liu, Q; Abbod, MF; Lu, C-W; Lin, T-Y; Jen, K-K; Wu, S-J; Shieh, J-S |
| 2018 | Deep learning in classifying depth of anesthesia (DoA) | AlMeer, MH; Abbod, MF |
| 5-May-2023 | Depth Analysis of Anesthesia Using EEG Signals via Time Series Feature Extraction and Machine Learning | Anand, RV; Abbod, MF; Fan, S-Z; Shieh, J-S |
| 7-Jun-2021 | Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition | Madanu, R; Rahman, F; Abbod, MF; Fan, S-Z; Shieh, J-S |
| 26-Aug-2022 | Design of a Load Frequency Controller Based on an Optimal Neural Network | Al-Majidi, SD; AL-Nussairi, MK; Mohammed, AJ; Dakhil, AM; Abbod, MF; Al-Raweshidy, HS |
