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16+ results
Field: Geometry

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

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Nabil Ibtehaz, M. Sohel Rahman

Journal: Neural NetworksYear: 2019
Citations: 2251

In recent years Deep Learning has brought about a breakthrough in Medical Image Segmentation. In this regard, U-Net has been the most popular architecture in the medical imaging community. Despite outstanding overall performance in segmenting multimodal medical images, through extensive experimentat...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization

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Ashraf Dewan, Yasushi Yamaguchi

Journal: Applied GeographyYear: 2009Citations: 1131
Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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SOCIOECONOMIC STATUS MEASUREMENT WITH DISCRETE PROXY VARIABLES: IS PRINCIPAL COMPONENT ANALYSIS A RELIABLE ANSWER?

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Stanislav Kolenikov, Gustavo Ángeles

Journal: Review of Income and WealthYear: 2009Citations: 776

The last several years have seen a growth in the number of publications in economics that use principal component analysis (PCA) in the area of welfare studies. This paper explores the ways discrete data can be incorporated into PCA. The effects of discreteness of the observed variables on the PCA a...

Social SciencesSociology and Political ScienceIncome, Poverty, and Inequality
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Standardized interpretation of paediatric chest radiographs for the diagnosis of pneumonia in epidemiological studies.

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Thomas Cherian, Kim Mulholland, John B. Carlin, H Ostensen et al.

Journal: PubMedYear: 2005Citations: 649

BACKGROUND: Although radiological pneumonia is used as an outcome measure in epidemiological studies, there is considerable variability in the interpretation of chest radiographs. A standardized method for identifying radiological pneumonia would facilitate comparison of the results of vaccine trial...

Health SciencesMedicineEpidemiologyOpen Access
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Social media marketing: Comparative effect of advertisement sources

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Mahmud Akhter Shareef, Bhasker Mukerji, Yogesh K. Dwivedi, Nripendra P. Rana et al.

Journal: Journal of Retailing and Consumer ServicesYear: 2017Citations: 570

This study was conducted to conceptualise advertising value and consumer attitudes towards advertisements. The research was developed to reveal the effect of the source of advertisements on credibility perception through the theoretical framework of Ducoffe's (1995) advertising value model. The rese...

Social SciencesSociology and Political ScienceDigital Marketing and Social MediaOpen Access
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What determines female autonomy? Evidence from Bangladesh

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Siwan Anderson, Mukesh Eswaran

Journal: Journal of Development EconomicsYear: 2008Citations: 563
Social SciencesGender StudiesGender, Labor, and Family Dynamics
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Coherent Flow Structures in Open Channels

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Philip J. Ashworth, Sean J. Bennett, Jim Best, Stuart McLelland

Year: 1996Citations: 551

List of Contributors. Acknowledgements. Coherent Flow Structures in Smooth-wall Turbulent Boundaary Layers: Facts, Mechnaisms and Speculations (C. Smith). Generalized Scaling of Coherent Bursting Structures in the Near-wall Region of Turbulent Flow over Smooth and Rough Boundaries (A. Grass and M. M...

Physical SciencesEnvironmental ScienceEcology
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Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review

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Eklas Hossain, Imtiaj Khan, Fuad Un-Noor, Sarder Shazali Sikander et al.

Journal: IEEE AccessYear: 2019Citations: 498

This paper conducts a comprehensive study on the application of big data and machine learning in the electrical power grid introduced through the emergence of the next-generation power system-the smart grid (SG). Connectivity lies at the core of this new grid infrastructure, which is provided by the...

Physical SciencesEngineeringControl and Systems EngineeringOpen Access
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Development of origin–destination matrices using mobile phone call data

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Shahadat Iqbal, Charisma F. Choudhury, Pu Wang, Marta C. González

Journal: Transportation Research Part C Emerging TechnologiesYear: 2014Citations: 491

In this research, we propose a methodology to develop OD matrices using mobile phone Call Detail Records (CDR) and limited traffic counts. CDR, which consist of time stamped tower locations with caller IDs, are analyzed first and trips occurring within certain time windows are used to generate tower...

Social SciencesTransportationHuman Mobility and Location-Based AnalysisOpen Access
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A generalised adoption model for services: A cross-country comparison of mobile health (m-health)

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Yogesh K. Dwivedi, Mahmud Akhter Shareef, Antonis C. Simintiras, Banita Lal et al.

Journal: Government Information QuarterlyYear: 2015Citations: 490

Which antecedents affect the adoption by users is still often a puzzle for policy-makers. Antecedents examined in this research include technological artefacts from the Unified Theory of Acceptance and Use of Technology (UTAUT), consumer context from UTAUT2 and psychological behaviour concepts such ...

Social SciencesDecision SciencesInformation Systems and ManagementOpen Access
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Super-elastic ferroelectric single-crystal membrane with continuous electric dipole rotation

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Guohua Dong, Suzhi Li, Mouteng Yao, Ziyao Zhou et al.

Journal: ScienceYear: 2019Citations: 462

Flexible ferroelectrics High-quality ferroelectric materials, which polarize in response to an electric field, are usually oxides that crack when bent. Dong et al. found that high-quality membranes of barium titanate are surprisingly flexible and super-elastic. These films accommodate large strains ...

Physical SciencesMaterials ScienceMaterials Chemistry
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Depression detection from social network data using machine learning techniques

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Md. Rafiqul Islam, Muhammad Ashad Kabir, Ashir Ahmed, Abu Raihan Mostofa Kamal et al.

Journal: Health Information Science and SystemsYear: 2018Citations: 459

Purpose Social networks have been developed as a great point for its users to communicate with their interested friends and share their opinions, photos, and videos reflecting their moods, feelings and sentiments. This creates an opportunity to analyze social network data for user's feelings and sen...

Social SciencesPsychologySocial Psychology
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Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains

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Md. Ashfanoor Kabir, Celia Shahnaz

Journal: Biomedical Signal Processing and ControlYear: 2012Citations: 441
Health SciencesMedicineCardiology and Cardiovascular Medicine
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FINN- <i>R</i>

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Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella et al.

Journal: ACM Transactions on Reconfigurable Technology and SystemsYear: 2018Citations: 404

Convolutional Neural Networks have rapidly become the most successful machine-learning algorithm, enabling ubiquitous machine vision and intelligent decisions on even embedded computing systems. While the underlying arithmetic is structurally simple, compute and memory requirements are challenging. ...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Marketing for Hospitality and Tourism

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Shahidul M. Islam

Journal: SSRN Electronic JournalYear: 2022Citations: 403
Social SciencesSociology and Political ScienceDiverse Aspects of Tourism ResearchOpen Access
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