no code implementations • 7 Oct 2011 • Hafiz Imtiaz, Shaikh Anowarul Fattah
In this paper, a multi-resolution feature extraction algorithm for face recognition is proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently exploits the local spatial variations in a face image.
1 code implementation • 1 Apr 2017 • Mohammad Tariqul Islam, Ishmam Zabir, Sk. Tanvir Ahamed, Md. Tahmid Yasar, Celia Shahnaz, Shaikh Anowarul Fattah
Significance- The proposed method offers very low estimation error and a smooth heart rate tracking with simple algorithmic approach and thus feasible for implementing in wearable devices to monitor heart rate for fitness and clinical purpose.
Applications
1 code implementation • 15 Oct 2018 • Mohammad Tariqul Islam, Sk. Tanvir Ahmed, Celia Shahnaz, Shaikh Anowarul Fattah
In this paper, a fast algorithm for heart rate estimation based on modified SPEctral subtraction scheme utilizing Composite Motion Artifacts Reference generation (SPECMAR) is proposed using two-channel PPG and three-axis accelerometer signals.
1 code implementation • Computers in Biology and Medicine 2020 • Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah
Learning of this initial training phase is transferred with some additional fine-tuning layers that are further trained with a smaller number of chest X-rays corresponding to COVID-19 and other pneumonia patients.
no code implementations • 17 Nov 2020 • Ankan Ghosh Dastider, Mohseu Rashid Subah, Farhan Sadik, Tanvir Mahmud, Shaikh Anowarul Fattah
Automatic disease detection using machine learning-based techniques from X-ray and computed tomography (CT) can play a major role in the frontline to assist medical professionals during the current outbreak of COVID-19.
no code implementations • 2 Dec 2020 • Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung
Moreover, a multi-scale fusion module is introduced with a pyramid fusion scheme to reduce the semantic gaps between subsequent encoder/decoder modules while facilitating the parallel optimization for efficient gradient propagation.
no code implementations • 9 Dec 2020 • Tanvir Mahmud, Shaikh Anowarul Fattah
In this paper, an end-to-end deep learning-based approach is proposed for faster diagnosis of malaria from thin blood smear images by making efficient optimizations of features extracted from diversified receptive fields.
no code implementations • 3 Jan 2021 • Tanvir Mahmud, A. Q. M. Sazzad Sayyed, Shaikh Anowarul Fattah, Sun-Yuan Kung
In this paper, we have proposed a novel multi-stage training approach that increases diversity in this feature extraction process to make accurate recognition of actions by combining varieties of features extracted from diverse perspectives.
no code implementations • 3 Jan 2021 • Tanvir Mahmud, Md. Jahin Alam, Sakib Chowdhury, Shams Nafisa Ali, Md Maisoon Rahman, Shaikh Anowarul Fattah, Mohammad Saquib
A multi-phase optimization strategy is introduced for solving the challenges of complicated diagnosis at a very early stage of infection, where an efficient lesion segmentation network is optimized initially which is later integrated into a joint optimization framework for the diagnosis and severity prediction tasks providing feature enhancement of the infected regions.
1 code implementation • 1 May 2021 • Ankan Ghosh Dastider, Farhan Sadik, Shaikh Anowarul Fattah
The proposed convolutional neural network (CNN) architecture implements an autoencoder network and separable convolutional branches fused with a modified DenseNet-201 network to build a vigorous, noise-free classification model.
no code implementations • 8 Dec 2022 • Mohammad Zunaed, Shaikh Anowarul Fattah
Different individual networks are used for brand-level and model-level source camera identification.
1 code implementation • 23 Feb 2023 • Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker, Zaber Ibn Abdul Hakim, Shaikh Anowarul Fattah
Synthetic image generation has opened up new opportunities but has also created threats in regard to privacy, authenticity, and security.
no code implementations • 6 Mar 2023 • Md Awsafur Rahman, Shaikh Anowarul Fattah
In this paper, a dual window transformer-based network, namely DwinFormer, is proposed, which utilizes both local and global features for end-to-end monocular depth estimation.
no code implementations • 7 Mar 2023 • Md Awsafur Rahman, Bishmoy Paul, Tanvir Mahmud, Shaikh Anowarul Fattah
In this paper, based on contextual image feature fusion (CIFF), a deep neural network (CIFF-Net) is proposed, which integrates patient-level contextual information into the traditional approaches for improved Melanoma diagnosis by concurrent multi-image comparative method.
1 code implementation • 20 Jul 2023 • Jishnu Mahmud, Raisa Mashtura, Shaikh Anowarul Fattah, Mohammad Saquib
Quantum Machine Learning (QML) has come into the limelight due to the exceptional computational abilities of quantum computers.
no code implementations • 28 Aug 2023 • Md Awsafur Rahman, Shaikh Anowarul Fattah
However, the scarcity of semantic information in datasets poses challenges.
1 code implementation • 15 Sep 2023 • Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker, Zaber Ibn Abdul Hakim, Shaikh Anowarul Fattah, Mohammad Saquib
In this paper, a novel strategy is proposed to attribute a synthetic speech track to the generator that is used to synthesize it.
no code implementations • 3 Oct 2023 • Utsab Saha, Sawradip Saha, Tahmid Kabir, Shaikh Anowarul Fattah, Mohammad Saquib
In this paper, a stratified multi-structural approach based on a Residual network ensembled with Residual MobileNet is proposed, termed as FusionActNet.