Shaikh Anowarul Fattah
Orcid: 0000-0001-8090-2327
According to our database1,
Shaikh Anowarul Fattah
authored at least 108 papers
between 2002 and 2024.
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Bibliography
2024
Quantum convolutional neural networks with interaction layers for classification of classical data.
Quantum Mach. Intell., June, 2024
MD-CardioNet: A Multi-Dimensional Deep Neural Network for Cardiovascular Disease Diagnosis From Electrocardiogram.
IEEE J. Biomed. Health Informatics, April, 2024
Biomed. Signal Process. Control., February, 2024
A Machine Learning Approach to Detect Customer Satisfaction From Multiple Tweet Parameters.
CoRR, 2024
Npix2Cpix: A GAN-Based Image-to-Image Translation Network With Retrieval- Classification Integration for Watermark Retrieval From Historical Document Images.
IEEE Access, 2024
Detection of Bruxism Using Inverse Discrete Wavelet Transformed Reconstructed Band Limited EEG Signals by Group Wise Feature Ranking.
IEEE Access, 2024
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
BAWGNet: Boundary aware wavelet guided network for the nuclei segmentation in histopathology images.
Comput. Biol. Medicine, October, 2023
SR-AttNet: An Interpretable Stretch-Relax Attention based Deep Neural Network for Polyp Segmentation in Colonoscopy Images.
Comput. Biol. Medicine, June, 2023
Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition.
CoRR, 2023
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs.
CoRR, 2023
Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data.
CoRR, 2023
CoRR, 2023
Automatic Emotion Recognition From Multi-Band EEG Data Based on a Deep Learning Scheme With Effective Channel Attention.
IEEE Access, 2023
ConDANet: Contourlet Driven Attention Network for Automatic Nuclei Segmentation in Histopathology Images.
IEEE Access, 2023
STOW-Net: Spatio-Temporal Operation Based Deep Learning Network for Classifying Wavelet Transformed Motor Imagery EEG Signals.
Proceedings of the IEEE Region 10 Conference, 2023
A Parallel Quantum Feature Encoding Scheme for Effective Classical Data Classification in Quantum Convolutional Neural Networks.
Proceedings of the IEEE Region 10 Conference, 2023
Artifact: A Large-Scale Dataset With Artificial And Factual Images For Generalizable And Robust Synthetic Image Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
A Novel Hierarchical-Classification-Block Based Convolutional Neural Network for Source Camera Model Identification.
CoRR, 2022
A dual-stage deep convolutional neural network for automatic diagnosis of COVID-19 and pneumonia from chest CT images.
Comput. Biol. Medicine, 2022
Multistage Adaptive Noise Cancellation Scheme for Heart Rate Estimation From PPG Signal Utilizing Mode Based Decomposition of Acceleration Data.
IEEE Access, 2022
Automated Heart Valve Disorder Detection Based on PDF Modeling of Formant Variation Pattern in PCG Signal.
IEEE Access, 2022
A Deep Learning Scheme for Detecting Atrial Fibrillation Based on Fusion of Raw and Discrete Wavelet Transformed ECG Features.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
CovTANet: A Hybrid Tri-Level Attention-Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans.
IEEE Trans. Ind. Informatics, 2021
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans.
IEEE Trans. Artif. Intell., 2021
SpecMEn-DL: spectral mask enhancement with deep learning models to predict COVID-19 from lung ultrasound videos.
Health Inf. Sci. Syst., 2021
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network.
CoRR, 2021
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images.
Comput. Biol. Medicine, 2021
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound.
Comput. Biol. Medicine, 2021
Seizure activity classification based on bimodal Gaussian modeling of the gamma and theta band IMFs of EEG signals.
Biomed. Signal Process. Control., 2021
Sleep Apnea Detection From Variational Mode Decomposed EEG Signal Using a Hybrid CNN-BiLSTM.
IEEE Access, 2021
2020
Automatic Diagnosis of Malaria from Thin Blood Smear Images using Deep Convolutional Neural Network with Multi-Resolution Feature Fusion.
CoRR, 2020
CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization.
Comput. Biol. Medicine, 2020
An efficient feature extraction scheme for classification of mental tasks based on inter-channel correlation in wavelet domain utilizing EEG signal.
Biomed. Signal Process. Control., 2020
Epileptic seizure detection in EEG signals using normalized IMFs in CEEMDAN domain and quadratic discriminant classifier.
Biomed. Signal Process. Control., 2020
DeepArrNet: An Efficient Deep CNN Architecture for Automatic Arrhythmia Detection and Classification From Denoised ECG Beats.
IEEE Access, 2020
Least Square Saliency Transformation of Capsule Endoscopy Images for PDF Model Based Multiple Gastrointestinal Disease Classification.
IEEE Access, 2020
Automated Brain Tumor Segmentation Based on Multi-Planar Superpixel Level Features Extracted From 3D MR Images.
IEEE Access, 2020
Proceedings of the 2020 IEEE Region 10 Conference, 2020
Proceedings of the 2020 IEEE Region 10 Conference, 2020
ResCovNet: A Deep Learning-Based Architecture For COVID-19 Detection From Chest CT Scan Images.
Proceedings of the 2020 IEEE Region 10 Conference, 2020
Human Activity Recognition From Multi-modal Wearable Sensor Data Using Deep Multi-stage LSTM Architecture Based on Temporal Feature Aggregation.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020
Sleep Apnea Event Detection from Sub-frame Based Feature Variation in EEG Signal Using Deep Convolutional Neural Network.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal.
IEEE J. Biomed. Health Informatics, 2019
SPECMAR: fast heart rate estimation from PPG signal using a modified spectral subtraction scheme with composite motion artifacts reference generation.
Medical Biol. Eng. Comput., 2019
Probability density function based modeling of spatial feature variation in capsule endoscopy data for automatic bleeding detection.
Comput. Biol. Medicine, 2019
Phonocardiogram Heartbeat Segmentation and Autoregressive Modeling for Person Identification.
Proceedings of the TENCON 2019, 2019
Proceedings of the 7th International Conference on Robot Intelligence Technology and Applications, 2019
Proceedings of the IEEE Global Humanitarian Technology Conference, 2019
2018
Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video.
Comput. Biol. Medicine, 2018
An efficient scheme for mental task classification utilizing reflection coefficients obtained from autocorrelation function of EEG signal.
Brain Informatics, 2018
VMD-RiM: Rician Modeling of Temporal Feature Variation Extracted From Variational Mode Decomposed EEG Signal for Automatic Sleep Apnea Detection.
IEEE Access, 2018
Biometric Authentication Using CNN Features of Dorsal Vein Pattern Extracted from NIR Image.
Proceedings of the TENCON 2018, 2018
Proceedings of the TENCON 2018, 2018
Real-Time American Sign Language Recognition Using Skin Segmentation and Image Category Classification with Convolutional Neural Network and Deep Learning.
Proceedings of the TENCON 2018, 2018
Configurable Digital Hearing Aid System with Reduction of Noise for Speech Enhancement Using Spectral Subtraction Method and Frequency Dependent Amplification.
Proceedings of the TENCON 2018, 2018
Proceedings of the TENCON 2018, 2018
Proceedings of the 2018 IEEE Global Humanitarian Technology Conference, 2018
2017
Noise Robust Formant Frequency Estimation Method Based on Spectral Model of Repeated Autocorrelation of Speech.
IEEE ACM Trans. Audio Speech Lang. Process., 2017
A time-frequency domain approach of heart rate estimation from photoplethysmographic (PPG) signal.
Biomed. Signal Process. Control., 2017
Emotion recognition based on vertical cross correlation sequence of facial expression images.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017
Skin lesions classification based on color plane-histogram-image quality analysis features extracted from digital images.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017
Proceedings of the 2017 IEEE International Symposium on Technology and Society, 2017
Low-cost smart electric wheelchair with destination mapping and intelligent control features.
Proceedings of the 2017 IEEE International Symposium on Technology and Society, 2017
Wrist-card: PPG sensor based wrist wearable unit for low cost personalized cardio healthcare system.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2017
Proceedings of the IEEE Global Humanitarian Technology Conference, 2017
Real time injecting device with automated robust vein detection using near infrared camera and live video.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2017
2016
An aerial landmine detection system with dynamic path and explosion mode identification features.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2016
2015
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
An automatic bleeding detection technique in wireless capsule endoscopy from region of interest.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
2014
Wavelet Domain Feature Extraction Scheme Based on Dominant Motor Unit Action Potential of EMG Signal for Neuromuscular Disease Classification.
IEEE Trans. Biomed. Circuits Syst., 2014
Single-channel acoustic echo cancellation in noise based on gradient-based adaptive filtering.
EURASIP J. Audio Speech Music. Process., 2014
A Single-Channel Acoustic Echo Cancellation Scheme Using Gradient-Based Adaptive Filtering.
Circuits Syst. Signal Process., 2014
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014
An approach to vowel recognition using 2DDWT based visual information of the lip region.
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014
A feature extraction scheme from region of interest of wireless capsule endoscopy images for automatic bleeding detection.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
An automatic bleeding detection scheme in wireless capsule endoscopy based on histogram of an RGB-indexed image.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Digit. Signal Process., 2013
Circuits Syst. Signal Process., 2013
A histogram-based dominant wavelet domain feature selection algorithm for palm-print recognition.
Comput. Electr. Eng., 2013
A detection method of nasalised vowels based on an acoustic parameter derived from phase spectrum.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
Identification of motor neuron disease using wavelet domain features extracted from EMG signal.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
2012
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
A Ramp Cosine Cepstrum Model for the Parameter Estimation of Autoregressive Systems at Low SNR.
EURASIP J. Adv. Signal Process., 2010
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2010
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2010
Digital security algorithm for GSM incorporated virtual e-banking protocol using watermarking technique.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2010
Proceedings of the Fourth UKSim European Symposium on Computer Modeling and Simulation, 2010
2009
A Time-frequency Domain Formant Frequency Estimation Scheme for Noisy Speech Signals.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
2008
A Novel Technique for the Identification of ARMA Systems Under Very Low Levels of SNR.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
IEEE Trans. Circuits Syst. II Express Briefs, 2008
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008
2007
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Noisy Autoregressive System Identification Based on Repeated Autocorrelation Function.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006
2005
Noisy autoregressive system identification by the ramp cepstrum of one-sided autocorrelation function.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004
2003
Identification of noisy AR systems using damped sinusoidal model of autocorrelation function.
IEEE Signal Process. Lett., 2003
2002
Identification of AR systems at a very low SNR using damped cosine model of autocorrelation function.
Proceedings of the IEEE International Conference on Acoustics, 2002