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Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, Friedrich Fraundorfer
2017 IEEE Geoscience and Remote Sensing Magazine  
In this article, we analyze the challenges of using deep learning for remote sensing data analysis, review the recent advances, and provide resources to make deep learning in remote sensing ridiculously  ...  such as climate change and urbanization.  ...  [63] proposed discriminant DBN for SAR image classification; here, the discriminant features are learned by combining ensemble learning with a DBN in an unsupervised manner.  ... 
doi:10.1109/mgrs.2017.2762307 fatcat:ec7b32lpdnhvzbdz2uoayw6anq

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

John E. Ball, Derek T. Anderson, Chee Seng Chan
2017 Journal of Applied Remote Sensing  
heterogeneous data sources, (v) DL architectures and learning algorithms for spectral, spatial and temporal data, (vi) transfer learning, (vii) an improved theoretical understanding of DL systems, (viii  ...  We also review recent new developments in the DL field that can be used in DL for RS. Namely, we focus on theories, tools and challenges for the RS community.  ...  Acknowledgments The authors wish to thank graduate students Vivi Wei, Julie White, and Charlie Veal for their valuable inputs related to DL tools.  ... 
doi:10.1117/1.jrs.11.042609 fatcat:tdbssxma3fettcjy5iqgo6afwa

NanoEHS beyond toxicity – focusing on biocorona

Sijie Lin, Monika Mortimer, Ran Chen, Aleksandr Kakinen, Jim E. Riviere, Thomas P. Davis, Feng Ding, Pu Chun Ke
2017 Environmental Science: Nano  
We believe continued development of the field of environmental health and safety of nanomaterials (nanoEHS) hinges on a critical extension from reporting macroscopic and microscopic phenomena to understanding  ...  For instance, the proteins constituting the corona can interact with membrane receptors and initiate active cell uptake via endocytosis.  ...  In addition, when performing statistical learning on data collected from various sources, identification and exclusion of outliers due to batch-to-batch variations and false positive signals (from ENMs  ... 
doi:10.1039/c6en00579a pmid:29123668 pmcid:PMC5673284 fatcat:47pifnwhbfhalfjfqz23pdbkia

Welcome Messages

2019 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)  
The database would be very useful to carry out deep learning research and various image processing tasks.  ...  The database along with its source code will be made open source for the research and academic purpose.  ...  It learns a center for the features of each class and meanwhile tries to pull the deep features of the same class close to the corresponding center.  ... 
doi:10.1109/ispacs48206.2019.8986291 fatcat:gu4zaxsqkncp5n2ebj5fybk7ce

Abstract

2021 Vox Sanguinis  
While authorities worldwide, early on reported daily updated data of the number of individuals testing positive for SARS-CoV-2 viral RNA true measures of incidence and prevalence of SARS-CoV-2 infection  ...  ., West Nile virus, Coxiella burnetii, Zika virus, and SARS-CoV-2.  ...  Samples were thawed and tested in small batches using four different platforms; BioRad CAT, Grifols gel CAT, Immucor Capture-R Echo SPRCA analyser and repeat testing by Ortho CAT.  ... 
doi:10.1111/vox.13117 pmid:34060100 fatcat:eff3ps633nhrhdvpr4tlxtzg4q

ISEV2021 Abstract Book

2021 Journal of Extracellular Vesicles  
GO enrichment for biological processes revealed that EXO samples were enriched in proteins related to exopeptidase activity, whereas MV samples in those related to cell redox homeostasis and intrinsic  ...  Introduction: Nanoalgosomes are newly characterised subtype of small extracellular vesicles (EVs) derived from microalgae, which we are exploiting as novel and scalable biogenic nanotechnology for the  ...  EpCAM was found to be weakly expressed in cells and EVs from cell cultures, and was expressed in 5/8 cellular and EV fractions of tissue samples.  ... 
doi:10.1002/jev2.12083 fatcat:6m2b3nhzozac7fgsy7n2gtt2pq

Abstracts of the 33rd Annual Meeting of the United Kingdom Environmental Mutagen society, 12th-14th July 2010 at the University of Derby, UK

2010 Mutagenesis  
Regulatory genotoxicity testing -what have we learned and how will things change?  ...  Blood samples were collected and analysed on Days -1, 15 and 29 for Pig-A mutation and Days 4 and 29 for micronucleated-Ret determination.  ...  Except for CYP1A1 and CYP1A2, the metabolizing enzymes examined appeared to be expressed with minimal inter-individual variation (approximately 2-to 5-fold).  ... 
doi:10.1093/mutage/geq090 fatcat:t6lhb4odsbfcljcmmaerrl767q

EFFECT OF WATER ADSORPTION ENERGY TO ELECTRICITY CONVERSION IN THE YSZ - NANOPOWDER SYSTEMS

Aleksandr S DOROSHKEVICH, Andrey I LYUBCHYK, Akhmed K ISLAMOV, Elmar B ASGEROV, Tatyana Yu ZELENYAK, Artem V SHYLO, Viktor I BODNARCHUK, Vitaliy A TURCHENKO, Yuriy Yu BACHERIKOV, Valeria R GASHIMOVA, Maria BALASOIU
2019 Zenodo  
S5 -Engineering and Industrial Physics The electricity consumption is also follows, using a digital power meter type UPT-210 (built by Algodue Elettronica, Italy).  ...  This information will be further used to implement concrete measures that will make the cooling system more efficient, ensuring both a better functioning of the computer systems and energy saving.  ...  small and large spills; -Protection distances for small and large spills, for both day and night periods.  ... 
doi:10.5281/zenodo.2591122 fatcat:cgqeyphd4nbxrgthx36auadk7e

A virtual auditory environment for investigating the auditory signal processing of realistic sounds

Sylvain Favrot, Jörg M. Buchholz
2008 Journal of the Acoustical Society of America  
In a second part we describe the method used to learn the probabilistic model of different instruments and playing techniques and show that it allows to learn the models from few samples and to deduce  ...  sampling and variational Bayes, which allow us to do principled comparisons between alternative models via Bayesian model selection.  ...  techniques that can be used for underwater ATR operations.  ... 
doi:10.1121/1.2936003 fatcat:ontu6yamdvgbnooet5fe36fm74

Analysis of room transfer function and reverberant signal statistics

Eleftheria Georganti, John Mourjopoulos, Finn Jacobsen
2008 Journal of the Acoustical Society of America  
In a second part we describe the method used to learn the probabilistic model of different instruments and playing techniques and show that it allows to learn the models from few samples and to deduce  ...  sampling and variational Bayes, which allow us to do principled comparisons between alternative models via Bayesian model selection.  ...  techniques that can be used for underwater ATR operations.  ... 
doi:10.1121/1.2935346 fatcat:lxgnqr6tozajhge3ydet3xomam

Temporal suppression and augmentation of click-evoked otoacoustic emissions

Sarah Verhulst, James M. Harte, Torsten Dau
2008 Hearing Research  
3766 Although small-size windows are used in a ship, shipboard windows are a multilayered structure with glasses and air-gaps for high sound insulation.  ...  See poster sessions for topics and abstracts.  ...  In a second part we describe the method used to learn the probabilistic model of different instruments and playing techniques and show that it allows to learn the models from few samples and to deduce  ... 
doi:10.1016/j.heares.2008.09.008 pmid:18926894 fatcat:bijdlpxpzfcsrjeefayvvu4pl4

Temporal suppression and augmentation of click‐evoked otoacoustic emissions

Sarah Verhulst, James M. Harte, Torsten Dau
2008 Journal of the Acoustical Society of America  
3766 Although small-size windows are used in a ship, shipboard windows are a multilayered structure with glasses and air-gaps for high sound insulation.  ...  See poster sessions for topics and abstracts.  ...  In a second part we describe the method used to learn the probabilistic model of different instruments and playing techniques and show that it allows to learn the models from few samples and to deduce  ... 
doi:10.1121/1.2935694 fatcat:z6yidzqqendznbmrczb3woaiv4

Across‐frequency processes involved in auditory detection of coloration

Jörg M. Buchholz, Paris Kerketsos
2008 Journal of the Acoustical Society of America  
3766 Although small-size windows are used in a ship, shipboard windows are a multilayered structure with glasses and air-gaps for high sound insulation.  ...  See poster sessions for topics and abstracts.  ...  In a second part we describe the method used to learn the probabilistic model of different instruments and playing techniques and show that it allows to learn the models from few samples and to deduce  ... 
doi:10.1121/1.2935741 fatcat:acaporn5qvgb5coauovqkbv6lq

Swiss MedLab 2016 and 74th Annual Meeting of the Swiss Society of Microbiology SSM, Bern, 13–16 June 2016

2016 Clinical Chemistry and Laboratory Medicine  
Discriminant analysis of the 2534 detected features in serum suggested that the purine metabolism, cortisol and acylcarnitines were significantly regulated at 80 min of exercise and 120 min post-exercise  ...  The analyte was extracted using the Tecan Immobilized Coating Extraction (TICE) technology, a special coating in well plates that act as an absorptive extraction phase for small and principally non-polar  ...  For instance, the resistance phenotype of human IAV segregates with a discrete cluster of surface-exposed amino acids in the NP.  ... 
doi:10.1515/cclm-2016-0370 fatcat:mp5dvifsxvatjjc7n5bjd74mti

Abstract Issue

2019 Planta Medica  
Agnieszka Kowalska, Department of Pharmacognosy, University of Vienna, for her excellent technical support, and Pakuso LLC, Lieto, Finland for providing the mushroom material.  ...  Acknowledgments The authors are thankful to the Swiss National Science Foundation for providing financial support for this project (grant 205321_182438/1 E.F.Q. and K.G.).  ...  For instance high scores, rankings, progress bars, virtual awards, competition, small surprises and a joyful atmosphere [1] . This tool can increase the motivation during the learning process [2] .  ... 
doi:10.1055/s-0039-3399628 pmid:31859358 fatcat:vmgbrzhnx5fkhaa5bgxgrgsqpq
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