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31+ results
Field: Computer vision

Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting

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Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan

Journal: Computer Methods and Programs in Biomedicine
Year: 2016
Citations: 236

Background and objective Automatic sleep staging is essential for alleviating the burden of the physicians of analyzing a large volume of data by visual inspection. It is also a precondition for making an automated sleep monitoring system feasible. Further, computerized sleep scoring will expedite l...

Life SciencesNeuroscienceCognitive Neuroscience
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Sampling Techniques (Probability) for Quantitative Social Science Researchers: A Conceptual Guidelines with Examples

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Md. Mizanur Rahman, Mosab I. Tabash, Aidin Salamzadeh, Selajdin Abduli et al.

Journal: SEEU ReviewYear: 2022Citations: 221

Abstract Collecting data using an appropriate sampling technique is a challenging task for a researcher to do. The researchers will be unable to collect data from all possible situations, which will preclude them from answering the study’s research questions in their current form. In light of the en...

Physical SciencesMathematicsStatistics and ProbabilityOpen Access
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Automatic sleep scoring using statistical features in the EMD domain and ensemble methods

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Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan

Journal: Journal of Applied BiomedicineYear: 2015Citations: 221
Life SciencesNeuroscienceCognitive Neuroscience
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Multi-Granularity Generator for Temporal Action Proposal

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Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu et al.

Year: 2019Citations: 220

Temporal action proposal generation is an important task, aiming to localize the video segments containing human actions in an untrimmed video. In this paper, we propose a multi-granularity generator (MGG) to perform the temporal action proposal from different granularity perspectives, relying on th...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network

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Mohammad Marufur Rahman, Md. Motaleb Hossen Manik, Md. Milon Islam, Saifuddin Mahmud et al.

Journal: 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)Year: 2020Citations: 209

COVID-19 pandemic caused by novel coronavirus is continuously spreading until now all over the world. The impact of COVID-19 has been fallen on almost all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of this...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Comparative Performance Analysis of Hamming, Hanning and Blackman Window

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Prajoy Podder, Tanvir Zaman Khan, Mamdudul Haque Khan, Mezbahur Rahman

Journal: International Journal of Computer ApplicationsYear: 2014Citations: 209

In the emerging field of medical image processing, computer vision, pattern recognition and other digital signal processing applications, window technique is vastly used. A window function is a mathematical function that is zero-valued outside of some chosen interval. When another function is multip...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Machine learning approach of automatic identification and counting of blood cells

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Mohammad Mahmudul Alam, Mohammad Tariqul Islam

Journal: Healthcare Technology LettersYear: 2019Citations: 202

A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition. Traditionally blood cells are counted manually using haemocytometer along with other laboratory equipment's and chemical compounds, which is a time-consuming and tedious task. In this work, th...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A new approach for LSB based image steganography using secret key

Verified

S. M. Masud Karim, Md. Saifur Rahman, Md. Ismail Hossain

Year: 2011Citations: 198

This paper introduces a best approach for Least Significant Bit (LSB) based on image steganography that enhances the existing LSB substitution techniques to improve the security level of hidden information. It is a new approach to substitute LSB of RGB true color image. The new security conception h...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation

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Yu Deng, Jiaolong Yang, Jianfeng Xiang, Xin Tong

Journal: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Year: 2022Citations: 192

3D-aware image generative modeling aims to generate 3D-consistent images with explicitly controllable camera poses. Recent works have shown promising results by training neural radiance field (NeRF) generators on unstructured 2D images, but still cannot generate highly-realistic images with fine det...

Physical SciencesComputer ScienceComputer Graphics and Computer-Aided Design
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Gland Instance Segmentation Using Deep Multichannel Neural Networks

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Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu et al.

Journal: IEEE Transactions on Biomedical EngineeringYear: 2017Citations: 183

Objective: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is challenging since the glands not only need to be segmented from a complex background, they must also be individually identified. Methods: We leverage th...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning

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Nur-A-Alam Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider et al.

Journal: SensorsYear: 2021Citations: 181

Currently, COVID-19 is considered to be the most dangerous and deadly disease for the human body caused by the novel coronavirus. In December 2019, the coronavirus spread rapidly around the world, thought to be originated from Wuhan in China and is responsible for a large number of deaths. Earlier d...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Camera Lens Super-Resolution

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Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha et al.

Year: 2019Citations: 180

Existing methods for single image super-resolution (SR) are typically evaluated with synthetic degradation models such as bicubic or Gaussian downsampling. In this paper, we investigate SR from the perspective of camera lenses, named as CameraSR, which aims to alleviate the intrinsic tradeoff betwee...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Tactile and Haptic Illusions

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Susan J. Lederman, Lynette A. Jones

Journal: IEEE Transactions on HapticsYear: 2011Citations: 180

This paper surveys the research literature on robust tactile and haptic illusions. The illusions are organized into two categories. The first category relates to objects and their properties, and is further differentiated in terms of haptic processing of material versus geometric object properties. ...

Life SciencesNeuroscienceCognitive Neuroscience
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Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm

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Md Shahariar Alam, Md Mahbubur Rahman, Mohammad Amzad Hossain, Md Khairul Islam et al.

Journal: Big Data and Cognitive ComputingYear: 2019Citations: 178

In recent decades, human brain tumor detection has become one of the most challenging issues in medical science. In this paper, we propose a model that includes the template-based K means and improved fuzzy C means (TKFCM) algorithm for detecting human brain tumors in a magnetic resonance imaging (M...

Life SciencesNeuroscienceNeurologyOpen Access
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Machine vision based papaya disease recognition

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Md. Tarek Habib, Anup Majumder, A.Z.M. Jakaria, Morium Akter et al.

Journal: Journal of King Saud University - Computer and Information SciencesYear: 2018Citations: 178

Over the years little research has been performed for vision-based papaya disease recognition system in order to help distant farmers, most of whom require proper support for cultivation. Due to advancement of vision-based technology we find a good solution to this problem. Papaya disease recognitio...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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