Fully adaptive evaluation of sub-band DFT. - Abdulnasir Hossen; Ulrich Heute (ISCAS, 1993)

Filter-Bank Interpretation and Fixed-Point Numerical Accuracy of Subband FFT. - Ulrich Heute; Abdulnasir Hossen (ISCAS, 1994)

Fast approximate discrete Fourier transform based on subband decomposition. - Abdulnasir Hossen (1994)

Subband DFT - Part II: Accuracy, complexity and applications. - Abdulnasir Hossen; Ulrich Heute; Ognjan V. Shentov; Sanjit K. Mitra (Signal Process., 1995)

Subband DFT - Part I: Definition, interpretation and extensions. - Ognjan V. Shentov; Sanjit K. Mitra; Ulrich Heute; Abdulnasir Hossen (Signal Process., 1995)

Fast approximate DCT: basic-idea, error analysis, applications. - Abdulnasir Hossen; Ulrich Heute (ICASSP, 1997)

A novel simple adaptive spectral analysis zoom for narrow-band signals. - Abdulnasir Hossen; Ulrich Heute (EUSIPCO, 2002)

Arithmetic errors in the sub-band FFT: derivation of error equations and simulation results. - Abdulnasir Hossen; Ulrich Heute; Gohlamali Seraji (Signal Process., 2003)

A New Method For Screening Of Patients With Congestive Heart Failure. - Abdulnasir Hossen; Bader Al-Ghunaimi (International Conference on Computational Intelligence, 2004)

Parametric modelling of decomposed subbands: resolution improvement and applications for narrow-band signals. - Abdulnasir Hossen; Ulrich Heute (Signal Process., 2004)

Subband decomposition soft-decision algorithm for heart rate variability analysis in patients with obstructive sleep apnea and normal controls. - Abdulnasir Hossen; Bader Al-Ghunaimi; Mohammed O. Hassan (Signal Process., 2005)

A wavelet-based soft decision technique for screening of patients with congestive heart failure. - Abdulnasir Hossen; Bader Al-Ghunaimi (Biomed. Signal Process. Control., 2007)

Classification of modulation signals using statistical signal characterization and artificial neural networks. - Abdulnasir Hossen; Fakhri Al-Wadahi; Joseph A. Jervase (Eng. Appl. Artif. Intell., 2007)

Discrimination of Parkinsonian tremor from essential tremor by implementation of a wavelet-based soft-decision technique on EMG and accelerometer signals. - Abdulnasir Hossen; Muthuraman Muthuraman; Jan Raethjen; Günther Deuschl; Ulrich Heute (Biomed. Signal Process. Control., 2010)

A Neural Network Approach to Distinguish Parkinsonian Tremor from Advanced Essential Tremor. - Abdulnasir Hossen; M. Muthuraman; Jan Raethjen; Günther Deuschl; Ulrich Heute (SocProS (1), 2011)

Selection of wavelet-bands for neural network discrimination of Parkinsonian tremor from essential tremor. - Abdulnasir Hossen (ICECS, 2012)

Text-independent speaker identification system based on the histogram of DCT-cepstrum coefficients. - S. Al-Rawahy; Abdulnasir Hossen; Ulrich Heute (Int. J. Knowl. Based Intell. Eng. Syst., 2012)

A neural network technique for feature selection and identification of obstructive sleep apnea. - Abdulnasir Hossen (BMEI, 2013)

Identification of sleep stages from heart rate variability using a soft-decision wavelet-based technique. - Abdulnasir Hossen; Halil Özer; Ulrich Heute (Digit. Signal Process., 2013)

A novel extension of the SB-FFT: Sub-segment inverse fast Fourier transform (SS-IFFT) with different applications. - Abdulnasir Hossen; Ulrich Heute (J. Comput. Methods Sci. Eng., 2013)

Deep Learning-Based Approach for Atrial Fibrillation Detection. - Lazhar Khriji; Marwa Fradi; Mohsen Machhout; Abdulnasir Hossen (ICOST, 2020)

Review on Energy Application Using Blockchain Technology With an Introductions in the Pricing Infrastructure. - Tariq Al-Abri; Ahmet Onen; Rashid Al-Abri; Abdulnasir Hossen; Amer Al-Hinai; Jaesung Jung; Taha Selim Ustun (IEEE Access, 2022)

Machine-Learning-Based Ground-Level Mobile Network Coverage Prediction Using UAV Measurements. - Naser Tarhuni; Ibtihal Al Saadi; Hafiz M. Asif; Mostefa Mesbah; Omer Eldirdiry; Abdulnasir Hossen (J. Sens. Actuator Networks, 2023)

The Effect of a Weighted Mean Pooling on the Performance of Convolution Neural Network. - Inas Shadoul; Abdulnasir Hossen; Mostefa Mesbah; Rami Al-Hmouz (ISPR (1), 2024)

The effect of pooling parameters on the performance of convolution neural network. - Inas Shadoul; Rami Al-Hmouz; Abdulnasir Hossen; Mostefa Mesbah; Muhammet Deveci (Artif. Intell. Rev., 2025)