Comparison of CK model and line by line method using old and updated parameters/databases

Amiri, Hossein; Lari, Khosro; Coelho, Pedro J.

doi:10.1016/j.ijthermalsci.2017.05.014

Cited by 10 publications

(4 citation statements)

References 23 publications

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“…Studies demonstrate that children with ASD on prompted stimuli usually perform imitation slower than TD children [96]. [63] trained the DL model to recognize facial expressions using FER2013 [97], CK databases [98], and augmented the model learning with sixteen Chinese children's facial expressions. The participants imitated seven facial expressions, and their responses were video-recorded.…”

Section: ) Facial Expressionsmentioning

confidence: 99%

“…Large-scale datasets give researchers the motivation and necessary sample size to develop, collaborate, and benchmark the performance of ML and DL algorithms. The studies reported use of datasets in the audio [126], [127], assessments [79], facial expression [95], [97], [98], and EMR category [74]. The studies reported challenges such as data preprocessing, cleaning, and augmenting the audio and EMR datasets as they were neither age-matched [62] nor culturally relevant to the experiment data [63].…”

Section: ) Datasetsmentioning

confidence: 99%

“…reported dataset preprocessing, cleaning, and augmentation challenges [95], [97], [98], [126]. The datasets were neither age-matched [62] nor culturally relevant to the experiment data [63], posing internal validity threats to the outcomes of ML and DL models.…”

Section: Studiesmentioning

confidence: 99%

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The Role of Intelligent Technologies in Early Detection of Autism Spectrum Disorder (ASD): A Scoping Review

2022

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Background: Two-year delay is reported between the first developmental concern raised by the parents and the diagnosis of ASD (Autism Spectrum Disorder), delaying the start of early intervention programs most beneficial within the first three years. Aim: Evaluate the role of technology in ASD detection by answering four research questions analyzing 1) evolution of technology, 2) use of various bio-behavioral data sources, 3) demographic categories, databases, controls, comparators, and assessment instruments, and 4) data collection, processing, and outcomes of the technology-based methods in ASD detection. Methods: Scoping review included behavioral-based ASD screening and diagnostic studies, published between 1st January 2011 to 31st December 2021 in PUBMED, SCOPUS, and IEEE Xplore databases for children under six years. The studies were assessed using the Critical Appraisal Skills Programm (CASP) and the PRISMA scoping review checklist (PRISMA-ScR). Results: The shortlisted 35 studies were categorized into seven bio-behavioral categories. The review suggested extensive use of machine learning (ML) and Deep Learning (DL) technologies with multimodal structured and unstructured data to detect infants at risk of ASD and Other developmental delays (ODD) as early as 9 to 12 months. However, the review reported various internal and external validity threats. Conclusion: Technology can significantly improve the current ASD detection process. The validation and adoption of technology can be fast-tracked by 1) designing robust study protocols, 2) executing multicultural field trials, 3) standardizing datasets, data quality and feature engineering methods, 4) recruiting statistically significant participants from ASD, typically developing (TD) and other developmental disorders (ODD) groups to ensure technological generalization, validation, and adoption outside laboratory settings.

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Section: ) Facial Expressionsmentioning

confidence: 99%

Section: ) Datasetsmentioning

confidence: 99%

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The Role of Intelligent Technologies in Early Detection of Autism Spectrum Disorder (ASD): A Scoping Review

2022

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“…The SNB and SNBCK results were calculated using the parameters derived by Soufiani and Taine [56] from the EM2C spectroscopic database based on HITRAN1992 with hot lines added and approximate theoretical and empirical formulas. The new CK results were calculated by Amiri et al [185] using the updated SNB parameters developed by Riviere and Soufiani [57] based on HITEMP 2010. As shown in Fig.…”

Section: D Casesmentioning

confidence: 99%

A Review on the Applications of Non-gray Gas Radiation Models in Multi-dimensional Systems

Zheng¹,

Sui²,

Sun³

et al. 2021

ES Energy Environ.

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Keeping gas radiation is a major way of heat transfer in flames. It affects temperature distributions and hence causes energy transfer in the combustion gaseous as well as subsequent chemical reactions. Accurate and efficient modeling of radiative heat transfer in multi-dimensional combustion systems is challenging, due to the drastic and rapid change of the radiative properties of the reacting gases in the whole spectrum, and the extensive computational cost for solving the radiative transfer equation (RTE) in multi-dimensional space. Several gas radiation models and RTE solution methods have been proposed to treat non-gray radiation heat transfer in combustion systems. In this paper, we first review the development of spectral line databases, gas radiation models and RTE solution methods. Subsequently, the development of radiation model parameters for different gaseous species is discussed. Next, recent simulation investigations are reviewed for one-dimensional, twodimensional and three-dimensional systems involving these state-of-the-art radiation models. In addition, we also discuss machine learning approaches for establishing gas radiation models and solving RTEs in non-gray gas radiative problems, an alternative and flexible way to deal with the complex and dynamic systems. Hopefully, this review will provide an up-to-date knowledge about the numerical calculations of gas radiation heat transfers in combustion systems.

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Solution Methods for Nongray Extinction Coefficients

Modest

Mazumder

2022

Radiative Heat Transfer

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Comparison of CK model and line by line method using old and updated parameters/databases

Cited by 10 publications

References 23 publications

The Role of Intelligent Technologies in Early Detection of Autism Spectrum Disorder (ASD): A Scoping Review

The Role of Intelligent Technologies in Early Detection of Autism Spectrum Disorder (ASD): A Scoping Review

A Review on the Applications of Non-gray Gas Radiation Models in Multi-dimensional Systems

Solution Methods for Nongray Extinction Coefficients

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