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Artificial Intelligence in Surgery
[article]
2019
arXiv
pre-print
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We end with summarizing the current state, emerging trends and major challenges in the future development of AI in surgery. ...
In this article, the recent successful and influential applications of AI in surgery are reviewed from pre-operative planning and intra-operative guidance to the integration of surgical robots. ...
Technically, we put a strong emphasis on deep learning based approaches in this review. ...
arXiv:2001.00627v1
fatcat:dywtv6v36rgf3fummidyluy3zi
2021 Index IEEE Journal of Biomedical and Health Informatics Vol. 25
2021
IEEE journal of biomedical and health informatics
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, JBHI July 2021 2545-2556 Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease. ...
doi:10.1109/jbhi.2022.3140980
fatcat:ufig7b54gfftnj3mocspoqbzq4
COVID-19 Modeling: A Review
[article]
2021
arXiv
pre-print
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This paper provides a comprehensive review of the challenges, tasks, methods, progress, gaps and opportunities in relation to modeling COVID-19 problems, data and objectives. ...
and deep machine learning, simulation modeling, social science methods, and hybrid modeling. ...
We thank Wenfeng Hou, Siyuan Ren, Yawen Zheng, Qinfeng Wang and Yang Yang for their assistance in the literature collection. ...
arXiv:2104.12556v3
fatcat:pj2bketcrveafbjf2m7tx3odxy
COVID-19 Modeling: A Review
[article]
2022
medRxiv
pre-print
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Many questions emerge, a critical one is to quantify the challenges, realities, intervention effect and influence of the pandemic. ...
Here, we provide a comprehensive review of the challenges, tasks, methods, progress, gaps and opportunities in relation to modeling COVID-19 processes, data, mitigation and impact. ...
We thank Wenfeng Hou, Siyuan Ren, Yawen Zheng, Qinfeng Wang and Yang Yang for their assistance in the literature collection. ...
doi:10.1101/2022.08.22.22279022
fatcat:qwj3bp6sa5dbrbwxk4qekjpgtq
Sensing the Cultural Significance with AI for Social Inclusion
2023
A+BE: Architecture and the Built Environment
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The AI-based methodological framework proposed in this thesis is shown to be able to collect information in cities and map the knowledge of the communities about cultural significance, fulfilling the expectation ...
This thesis explores the use of AI in a methodological framework to include the contribution of a larger and more diverse group of participants with user-generated data. ...
This research starts with a systematic literature review concerning the usage of User-Generated Content and Artificial Intelligence in the broad field of urban heritage ...
doi:10.59490/abe.2023.17.7167
fatcat:akt3jucs7bd6zic64ipwlghu4q
Proceedings of the First International Conference and School on Radiation Imaging (ICSRI-2021), Ferhat Abbas-Setif1 University, Setif, September 26-30, 2021, Algeria
2022
Zenodo
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Image processing has always played a major role in the development and use of radiation imaging techniques. ...
Image processing in radiation imaging is, indeed, a science field presenting up-to-date detailed treatment techniques and algorithms for the registration, segmentation, reconstruction, and evaluation of ...
Deep learning (DL) is a specialized subset of machine learning. DL algorithms are based on the use of neural networks which are composed of layers. ...
doi:10.5281/zenodo.7071305
fatcat:qmhbpemvrjewha3xuwi7y62yne
Spatiotemporal enabled Content-based Image Retrieval
2016
International Conference on GIScience Short Paper Proceedings
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In this paper, we propose a probabilistic method for estimation of the coverage of a sensor network based on 3D vector representation of the environment. ...
To overcome these limitations, in this paper we propose a probabilistic sensor coverage estimation method based on precise 3D vector-base representation of the environment and we present some results of ...
Government for the development of a fine-resolution model of urban-energy systems' water footprint in river networks; Oak Ridge National Laboratory's Laboratory Directed Research and Development (LDRD) ...
doi:10.21433/b311729295dw
fatcat:fulw4pw3kfh5nmfzcsy3pkisvm
Computational Socioeconomics
[article]
2019
arXiv
pre-print
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This review, together with pioneering works we have highlighted, will draw increasing interdisciplinary attentions and induce a methodological shift in future socioeconomic studies. ...
In this review, we will make a brief manifesto about a new interdisciplinary research field named Computational Socioeconomics, followed by detailed introduction about data resources, computational tools ...
and deep learning (DL) with feedforward neural networks (FNN) [20] . ...
arXiv:1905.06166v1
fatcat:kvhy2hpzgvg2vnqhdjfyjfidqi
Air Quality Monitoring and Forecasting
2018
Atmosphere
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Author Contributions: This research was conducted as a joint effort by both authors. R.M. contributed to the theoretical development and wrote the paper, and M.D. ...
The founding sponsors, which is the government of Canada, had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision ...
Therefore, a second neural network was trained with the same design as the neural network illustrated above; however, this neural network produces a 24-h forecast at 5 p.m. for the time period, 5 p.m.- ...
doi:10.3390/atmos9030089
fatcat:hcu2mv3vrvhqxp22etavyruva4
Multimodal Emotion Recognition among Couples from Lab Settings to Daily Life using Smartwatches
[article]
2022
arXiv
pre-print
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In this body of work contained in this thesis (8 papers - 5 published and 3 currently under review in various journals), we fill the current literature gap on couples' emotion recognition, develop emotion ...
Couples generally manage chronic diseases together and the management takes an emotional toll on both patients and their romantic partners. ...
ACKNOWLEDGMENTS We are grateful to Prabhakaran Santhanam for assisting with the study's data collection and the following research assistants for coding, annotating and transcribing our dataset: Kwabena ...
arXiv:2212.13917v1
fatcat:p5kljireefc73n7r76fqfxj6ja
Quantitative assessment of spatial sound distortion by the semi-ideal recording point of a hear-through device
2013
Journal of the Acoustical Society of America
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Abnormal events recognition and classification for pipeline monitoring systems based on vibration analysis and artificial neural networks. ...
Measurements were made at the Tuna Research and Conservation Center (Stanford University) in a 9.14 m diameter, 1.65 m deep indoor cylindrical tank. ...
A study on acoustic imaging based on beamformer to range spectra in the phase interference method. Ryota Miyake, Kohei Hayashida, Masato Nakayama, and Takanobu Nishiura (Grad. ...
doi:10.1121/1.4805375
fatcat:u4bvxh6karet3avpjdhpfwqpf4
A virtual auditory environment for investigating the auditory signal processing of realistic sounds
2008
Journal of the Acoustical Society of America
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Based on Woods Hole Oceanographic Digital Tags ͑Dtags͒, these animals are known to produce echo-location clicks only during deep foraging dives. ...
Identification is currently being carried out using time domain signal coding and artificial neural networks. ...
The algorithm combines a traffic model with vehicles in dynamic motion through the domain with a model for sound propagation, based on the method of virtual images in which the determination of the location ...
doi:10.1121/1.2936003
fatcat:ontu6yamdvgbnooet5fe36fm74
Analysis of room transfer function and reverberant signal statistics
2008
Journal of the Acoustical Society of America
Preserved Fulltext
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Based on Woods Hole Oceanographic Digital Tags ͑Dtags͒, these animals are known to produce echo-location clicks only during deep foraging dives. ...
Identification is currently being carried out using time domain signal coding and artificial neural networks. ...
The algorithm combines a traffic model with vehicles in dynamic motion through the domain with a model for sound propagation, based on the method of virtual images in which the determination of the location ...
doi:10.1121/1.2935346
fatcat:lxgnqr6tozajhge3ydet3xomam
Temporal integration of loudness as a function of level
1995
Journal of the Acoustical Society of America
Preserved Fulltext
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It is only recently that a tool, based on the Bayesian decision theory and close to the data association problem in RADAR, has been proposed by Mauuary and Moura. ...
Tappert (Univ. of Miami, Miami, FL 33149) Full-wave numerical simulations of internal wave scattering of lowfrequency sound in the deep ocean are performed with an efficient broadband PE model based on ...
This ratio is only 20 (between 0.5 and 10 cm 2) for the "compact" versus "diffuse" axis (from/a/to/i/). ...
doi:10.1121/1.411567
fatcat:h52442zdrnc6zmr4ephlixbspu
Temporal integration of loudness as a function of level
1996
Journal of the Acoustical Society of America
Preserved Fulltext
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The file type is application/pdf.
It is only recently that a tool, based on the Bayesian decision theory and close to the data association problem in RADAR, has been proposed by Mauuary and Moura. ...
Tappert (Univ. of Miami, Miami, FL 33149) Full-wave numerical simulations of internal wave scattering of lowfrequency sound in the deep ocean are performed with an efficient broadband PE model based on ...
This ratio is only 20 (between 0.5 and 10 cm 2) for the "compact" versus "diffuse" axis (from/a/to/i/). ...
doi:10.1121/1.415236
pmid:8819858
fatcat:tsiit3akb5e4tkzxdzrilpsfzy
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