Showing results 29 to 48 of 94
< previous
next >
Issue Date | Title | Author(s) |
2-Aug-2019 | Design of an efficient maximum power point tracker based on ANFIS using an experimental photovoltaic system data | Al-Majidi, SD; Abbod, MF; Al-Raweshidy, HS |
7-Nov-2019 | Design of an intelligent MPPT based on ANN using a real photovoltaic system data | Al-Majidi, SD; Abbod, MF; Al-Raweshidy, HS |
2019 | Detecting defects in PCB using deep learning via convolution neural networks | Adibhatla, VA; Shieh, JS; Abbod, MF; Chih, HC; Hsu, CC; Cheng, J |
1998 | Diagnosis and decision-making for awareness during general anaesthesia | Backory, JK; Abbod, MF; Linkens, DA |
20-Feb-2022 | ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features | Mathunjwa, BM; Lin, YT; Lin, CH; Abbod, MF; Sadrawi, M; Shieh, JS |
2016 | EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery | Liu, Q; Chen, Y-F; Fan, S-Z; Abbod, MF; Shieh, J-S |
2015 | EEG signals analysis using multiscale entropy for depth of anesthesia monitoring during surgery through artificial neural networks | Liu, Q; Chen, YF; Fan, SZ; Abbod, MF; Shieh, JS |
2008 | Effect of changing strain rate on flow stress during hot deformation of type 316L stainless steel | Abbod, MF; Sellars, CM; Tanaka, A; Linkens, DA; Mahfouf, M |
2011 | Efficient architectures and power modelling of multiresolution analysis algorithms on FPGA | Sazish, Abdul Naser |
17-Nov-2021 | Electroencephalogram variability analysis for monitoring depth of anesthesia | Chen, Y-F; Chen, Y-F; Fan, S-Z; Abbod, MF; Shieh, J-S; Zhang, M |
2015 | Ensemble artificial neural networks applied to predict the key risk factors of hip bone fracture for elders | Liu, Q; Cui, X; Chou, YC; Abbod, MF; Lin, J; Shieh, JS |
2016 | Evolutionary based optimisation of multivariable fuzzy control system of a binary distillation column | Al-Dunainawi, Y; Abbod, MF |
2007 | Evolutionary computing for metals properties modelling | Abbod, MF; Mahfouf, M; Linkens, DA; Sellars, CM |
14-Jun-2020 | Explainable AI (XAI) Applied in Machine Learning for Pain Modeling: A Review | Madanu, R; Abbod, MF; Hsiao, F-J; Chen, W-T; Shieh, J-S |
2007 | An extended 316L stainless steel model suitable for industrial rolling | Abbod, MF; Mahfouf, M; Linkens, DA; Sellars, CM |
25-Oct-2021 | Gait analyses of parkinson’s disease patients using multiscale entropy | Hsieh, YL; Abbod, MF |
9-Jul-2020 | Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography | Sadrawi, M; Lin, Y-T; Lin, C-H; Mathunjwa, B; Fan, S-Z; Abbod, MF; Shieh, J-S |
9-Jul-2020 | Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography. | Sadrawi, M; Lin, Y-T; Lin, C-H; Mathunjwa, B; Fan, S-Z; Abbod, MF; Shieh, J-S |
2014 | Genetic folding for solving multiclass SVM problems | Mezher, MA; Abbod, MF |
2016 | Genetic folding/programming toolbox: Analogue circuit design case study | Ushie, OJ; Abbod, MF; Usibe, BE |