Search Results for author: Mohammad Tariqul Islam

Found 12 papers, 7 papers with code

Manifold-aligned Neighbor Embedding

1 code implementation19 May 2022 Mohammad Tariqul Islam, Jason W. Fleischer

In this paper, we introduce a neighbor embedding framework for manifold alignment.

Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip Detection

1 code implementation6 Jan 2021 Mohammad Mahmudul Alam, Mohammad Tariqul Islam, S. M. Mahbubur Rahman

The proposed algorithm uses a single convolutional neural network to predict the probabilities of finger class and positions of fingertips in one forward propagation.

Fingertip Detection Hand Gesture Recognition

A Variational Step for Reduction of Mixed Gaussian-Impulse Noise from Images

no code implementations1 Nov 2018 Mohammad Tariqul Islam, Dipayan Saha, S. M. Mahbubur Rahman, M. Omair Ahmad, M. N. S. Swamy

However, ROF cannot completely remove the heavy tail of the noise distribution originating from the IN and thus the denoising performance can be suboptimal.


SPECMAR: Fast Heart Rate Estimation from PPG Signal using a Modified Spectral Subtraction Scheme with Composite Motion Artifacts Reference Generation

1 code implementation15 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.

Heart rate estimation

Statistical Selection of CNN-Based Audiovisual Features for Instantaneous Estimation of Human Emotional States

1 code implementation23 Aug 2017 Ramesh Basnet, Mohammad Tariqul Islam, Tamanna Howlader, S. M. Mahbubur Rahman, Dimitrios Hatzinakos

Automatic prediction of continuous-level emotional state requires selection of suitable affective features to develop a regression system based on supervised machine learning.


Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks

no code implementations27 May 2017 Mohammad Tariqul Islam, Md Abdul Aowal, Ahmed Tahseen Minhaz, Khalid Ashraf

One remarkable result of the cardiomegaly localization is that the heart and its surrounding region is most responsible for cardiomegaly detection, in contrast to the rule based models where the ratio of heart and lung area is used as the measure.

Anomaly Detection General Classification

A Time-Frequency Domain Approach of Heart Rate Estimation From Photoplethysmographic (PPG) Signal

1 code implementation1 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.


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