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Статті в журналах з теми "FEATURE ENCODING"
Lathroum, Amanda. "Feature encoding by neural nets." Phonology 6, no. 2 (August 1989): 305–16. http://dx.doi.org/10.1017/s0952675700001044.
Повний текст джерелаJaswal, Snehlata, and Robert H. Logie. "Configural encoding in visual feature binding." Journal of Cognitive Psychology 23, no. 5 (August 2011): 586–603. http://dx.doi.org/10.1080/20445911.2011.570256.
Повний текст джерелаWu, Pengxiang, Chao Chen, Jingru Yi, and Dimitris Metaxas. "Point Cloud Processing via Recurrent Set Encoding." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5441–49. http://dx.doi.org/10.1609/aaai.v33i01.33015441.
Повний текст джерелаEurich, Christian W., and Stefan D. Wilke. "Multidimensional Encoding Strategy of Spiking Neurons." Neural Computation 12, no. 7 (July 1, 2000): 1519–29. http://dx.doi.org/10.1162/089976600300015240.
Повний текст джерелаShinomiya, Yuki, and Yukinobu Hoshino. "A Quantitative Quality Measurement for Codebook in Feature Encoding Strategies." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 7 (November 20, 2017): 1232–39. http://dx.doi.org/10.20965/jaciii.2017.p1232.
Повний текст джерелаRonran, Chirawan, Seungwoo Lee, and Hong Jun Jang. "Delayed Combination of Feature Embedding in Bidirectional LSTM CRF for NER." Applied Sciences 10, no. 21 (October 27, 2020): 7557. http://dx.doi.org/10.3390/app10217557.
Повний текст джерелаJames, Melissa S., Stuart J. Johnstone, and William G. Hayward. "Event-Related Potentials, Configural Encoding, and Feature-Based Encoding in Face Recognition." Journal of Psychophysiology 15, no. 4 (October 2001): 275–85. http://dx.doi.org/10.1027//0269-8803.15.4.275.
Повний текст джерелаS RAO, VIBHA, and P. RAMESH NAIDU. "Periocular and Iris Feature Encoding - A Survey." International Journal of Innovative Research in Computer and Communication Engineering 03, no. 01 (January 30, 2015): 368–74. http://dx.doi.org/10.15680/ijircce.2015.0301023.
Повний текст джерелаHUO, Lu, and Leijie ZHANG. "Combined feature compression encoding in image retrieval." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 27, no. 3 (May 15, 2019): 1603–18. http://dx.doi.org/10.3906/elk-1803-3.
Повний текст джерелаLee, Hui-Jin, Ki-Sang Hong, Henry Kang, and Seungyong Lee. "Photo Aesthetics Analysis via DCNN Feature Encoding." IEEE Transactions on Multimedia 19, no. 8 (August 2017): 1921–32. http://dx.doi.org/10.1109/tmm.2017.2687759.
Повний текст джерелаДисертації з теми "FEATURE ENCODING"
Gollnick, Clare Ann. "Probabilistic encoding and feature selectivity in the somatosensory pathway." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54025.
Повний текст джерелаSeger, Cedric. "An investigation of categorical variable encoding techniques in machine learning: binary versus one-hot and feature hashing." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237426.
Повний текст джерелаMaskininlärningsmetoder kan användas för att lösa viktiga binära klassificeringsuppgifter i domäner som displayannonsering och rekommendationssystem. I många av dessa domäner är kategoriska variabler vanliga och ofta av hög kardinalitet. Användning av one-hot-kodning under sådana omständigheter leder till väldigt högdimensionella vektorrepresentationer. Detta orsakar minnesoch beräkningsproblem för maskininlärningsmodeller. Denna uppsats undersökte användbarheten för ett binärt kodningsschema där kategoriska värden var avbildade på heltalvärden som sedan kodades i ett binärt format. Detta binära system tillät att representera kategoriska värden med hjälp av log2(d) -dimensionella vektorer, där d är dimensionen förknippad med en one-hot kodning. För att utvärdera prestandan för den binära kodningen jämfördes den mot one-hot och en hashbaserad kodning. En linjär logistikregression och ett neuralt nätverk tränades med hjälp av data från två offentligt tillgängliga dataset: Criteo och Census, och den slutliga prestandan jämfördes. Resultaten visade att en one-hot kodning med en linjär logistisk regressionsmodell gav den bästa prestandan enligt PR-AUC måttet. Denna metod använde dock 118 och 65,953 dimensionella vektorrepresentationer för Census respektive Criteo. En binär kodning ledde till en lägre prestanda generellt, men använde endast 35 respektive 316 dimensioner. Den binära kodningen presterade väsentligt sämre specifikt för Criteo datan, istället var hashbaserade kodningen en mer attraktiv lösning. Försämringen i prestationen associerad med binär och hashbaserad kodning kunde mildras av att använda ett neuralt nätverk.
Zhang, Cuicui. "Quad-Tree based Image Encoding Methods for Data-Adaptive Visual Feature Learning." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199435.
Повний текст джерелаChambers, Anna. "Progressive Recovery of Cortical and Midbrain Sound Feature Encoding Following Profound Cochlear Neuropathy." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226064.
Повний текст джерелаMoallem, Theodore M. 1976. "Articulatory feature encoding and sensorimotor training for tactually supplemented speech reception by the hearing-impaired." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68454.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (p. 150-159).
This thesis builds on previous efforts to develop tactile speech-reception aids for the hearing-impaired. Whereas conventional hearing aids mainly amplify acoustic signals, tactile speech aids convert acoustic information into a form perceptible via the sense of touch. By facilitating visual speechreading and providing sensory feedback for vocal control, tactile speech aids may substantially enhance speech communication abilities in the absence of useful hearing. Research for this thesis consisted of several lines of work. First, tactual detection and temporal order discrimination by congenitally deaf adults were examined, in order to assess the practicability of encoding acoustic speech information as temporal relationships among tactual stimuli. Temporal resolution among most congenitally deaf subjects was deemed adequate for reception of tactually-encoded speech cues. Tactual offset-order discrimination thresholds substantially exceeded those measured for onset-order, underscoring fundamental differences between stimulus masking dynamics in the somatosensory and auditory systems. Next, a tactual speech transduction scheme was designed with the aim of extending the amount of articulatory information conveyed by an earlier vocoder-type tactile speech display strategy. The novel transduction scheme derives relative amplitude cues from three frequency-filtered speech bands, preserving the cross-channel timing information required for consonant voicing discriminations, while retaining low-frequency modulations that distinguish voiced and aperiodic signal components. Additionally, a sensorimotor training approach ("directed babbling") was developed with the goal of facilitating tactile speech acquisition through frequent vocal imitation of visuo-tactile speech stimuli and attention to tactual feedback from one's own vocalizations. A final study evaluated the utility of the tactile speech display in resolving ambiguities among visually presented consonants, following either standard or enhanced sensorimotor training. Profoundly deaf and normal-hearing participants trained to exploit tactually-presented acoustic information in conjunction with visual speechreading to facilitate consonant identification in the absence of semantic context. Results indicate that the present transduction scheme can enhance reception of consonant manner and voicing information and facilitate identification of syllableinitial and syllable-final consonants. The sensorimotor training strategy proved selectively advantageous for subjects demonstrating more gradual tactual speech acquisition. Simple, low-cost tactile devices may prove suitable for widespread distribution in developing countries, where hearing aids and cochlear implants remain unaffordable for most severely and profoundly deaf individuals. They have the potential to enhance verbal communication with minimal need for clinical intervention.
by Theodore M. Moallem.
Ph.D.
Laczik, Tamás. "Encoding Temporal Healthcare Data for Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299433.
Повний текст джерелаDenna avhandling innehåller en recension av tidigare arbete inom områden av kodning av sekventiell sjukvårdsdata och förutsägelse av transplantat- mot- värdsjukdom, ett medicinskt tillstånd, baserat på patienthistoria med maskininlärning. En ny kodning av sådan data föreslås i maskininlärningssyfte. Den föreslagna kodningen, kallad bag of binned weighted events, är en kombination av två strategier som föreslagits i tidigare arbete, kallad bag of binned events och bag of weighted events. Ett empiriskt experiment är utformat för att utvärdera den föreslagna prestandan för den föreslagna kodningen över olika binningfönster jämfört med tidigare kodningar, baserat på AUC- måttet. Experimentet utförs på verkliga sjukvårdsdata som erhållits från svenska register, med random forest och logistic regression. Efter filtrering av data, lösning av kvalitetsproblem och justering av hyperparametrar för modellerna, erhålls slutliga resultat. Dessa resultat indikerar att den föreslagna kodningsstrategin presterar i nivå med, eller något bättre än bag of weighted events, och överträffar i de flesta fall bag of binned events. Skillnader i mått är dock små. Det observeras också att den föreslagna kodningen vanligtvis fungerar bättre med längre binningfönster som kan tillskrivas dataljud. Framtida arbete föreslås i form av att upprepa experimentet med olika datamängder och modeller, samt att ändra binningfönstrets längd för basalgoritmerna.
Dulas, Michael Robert. "The effect of explicitly directing attention toward item-feature relationships on source memory and aging: an erp study." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41187.
Повний текст джерелаPauzin, François Philippe [Verfasser], Patrick [Gutachter] Krieger, and Stephan [Gutachter] Herlitze. "A corticothalamic circuit for refining tactile encoding : a switch between feature detection and discrimination / François Philippe Pauzin ; Gutachter: Patrick Krieger, Stephan Herlitze ; International Graduate School of Neuroscience." Bochum : Ruhr-Universität Bochum, 2018. http://d-nb.info/117520496X/34.
Повний текст джерелаBisso, Paul W. (Paul William). "Leveraging features of nanoscale particulates for information encoding, quantitative sensing and drug delivery." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/115691.
Повний текст джерелаCataloged from PDF version of thesis. "February 2017." Handwritten on title page "February 2018."
Includes bibliographical references.
It is both uncontroversial and unassailable to assert that small things can often go where big things cannot. It is similarly prosaic to note that at smaller length scales, matter behaves differently than at larger length scales. This thesis exploits these intuitive and simple axioms to yield advances in three independent lines of enquiry: (i) robust and practically accessible encoding of information within microparticles, (ii) rapid, quantitative sensing of hydrophobic colloids and (iii) immunologically-focused drug delivery. Specifically, upconversion nanocrystals are used as the foundation of a novel spatial-spectral patterning motif to produce polymer microparticles with unique, decodable identities. With large single-particle encoding capacities (>10-⁶), an ultralow decoding false alarm rate (<10-⁹), and pronounced insensitivity to both particle chemistry and harsh processing conditions, this architecture enables practical deployment of encoded microparticles in applications with orthogonal requirements, including multiplexed bioassays and covert labeling of objects and packaging for anti-counterfeiting. Next, the large specific surface area of nanoscale objects is exploited by a family of zwitterionic, surfactant-like molecular rotors to develop a broadly applicable tool for sensitive, quantitative, and accessible nanoscale metrology. This tool is shown to address multiple challenges in nanometrology of self-assembled structures, including (i) quantification of surfactant adsorption isotherms on metal oxide surfaces, (ii) determination of self-assembly onset concentration, and (iii) high-throughput readout of drug delivery nanoparticle mass concentration. Finally, the combination of small size and large interfacial area was exploited to design nanoscale formulations for (i) ex vivo delivery to human neutrophils, a significant element of the innate immune system and (ii) targeted delivery of therapeutics to the asthmatic lung.
by Paul W. Bisso.
Ph. D.
Kundu, Benjamin Ina Annesha. "Imaging platforms for detecting and analyzing skin features and Its stability : with applications in skin health and in using the skin as a body-relative position-encoding system." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100114.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 121-124).
Skin imaging is a powerful, noninvasive method used with potential to aid in the diagnosis of various dermatological diseases and assess overall skin health. This thesis discusses imaging platforms that were developed to aid in studying skin features and characteristics at different time and length scales to characterize and monitor skin. Two applications are considered: (1) using natural skin features as a position encoding system and an aid for volume reconstruction of ultrasound imaging and (2) studying natural skin feature evolution or stability over time to aid in assessing skin health. A 5-axis, rigid translational scanning system was developed to capture images at specific locations and to validate skin based body registration algorithms. We show that natural skin features could be used to perform ultrasound based reconstruction accurate to 0.06 mm. A portable, handheld scanning device was designed to study skin characteristics at different time and length scales. With this imaging platform, we analyze skin features at different length scales: [mu]m (for microreliefs), mm (for moles and pores), and cm (for distances between microreliefs and other features). Preliminary algorithms are used to automatically identify microreliefs. Further work in image processing is required to assess skin variation using these images.
by Ina Annesha Kundu.
S.M.
Книги з теми "FEATURE ENCODING"
Botly, Leigh Cortland Perry. Cholinergic influences on the encoding, but not retrieval, of crossmodal sensory feature binding in rats. 2005.
Знайти повний текст джерелаJeshion, Robin. Slurs, Dehumanization, and the Expression of Contempt. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198758655.003.0005.
Повний текст джерелаVölgyi, Béla, Garrett T. Kenyon, David W. Marshak, and Botir Sagdullaev, eds. Encoding Visual Features by Parallel Ganglion Cell Initiated Pathways in the Healthy, Diseased and Artificial Retina. Frontiers Media SA, 2019. http://dx.doi.org/10.3389/978-2-88963-105-6.
Повний текст джерелаBjorkman, Bronwyn M., and Daniel Currie Hall, eds. Contrast and Representations in Syntax. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198817925.001.0001.
Повний текст джерелаKuhlmann, Beatrice G., and Ute J. Bayen. Metacognitive Aspects of Source Monitoring. Edited by John Dunlosky and Sarah (Uma) K. Tauber. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.8.
Повний текст джерелаMitchell, Karen J. The Cognitive Neuroscience of Source Monitoring. Edited by John Dunlosky and Sarah (Uma) K. Tauber. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.2.
Повний текст джерелаGilad-Gutnick, Sharon, and Pawan Sinha. The Presidential Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0090.
Повний текст джерелаÜnal, Ercenur, and Anna Papafragou. The relation between language and mental state reasoning. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789710.003.0008.
Повний текст джерелаBailey, Matthew A. An overview of tubular function. Edited by Robert Unwin. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0020.
Повний текст джерелаNordlinger, Rachel. The Languages of the Daly River Region (Northern Australia). Edited by Michael Fortescue, Marianne Mithun, and Nicholas Evans. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199683208.013.44.
Повний текст джерелаЧастини книг з теми "FEATURE ENCODING"
Langendoen, D. Terence, and Gary F. Simons. "A Rationale for the TEI Recommendations for Feature-Structure Markup." In Text Encoding Initiative, 191–209. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0325-1_16.
Повний текст джерелаAvants, Brian, Elliot Greenblatt, Jacob Hesterman, and Nicholas Tustison. "Deep Volumetric Feature Encoding for Biomedical Images." In Biomedical Image Registration, 91–100. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50120-4_9.
Повний текст джерелаPang, Xiaolin, Kexin Xie, Yuxi Zhang, Max Fleming, Damian Chen Xu, and Wei Liu. "Adversarial Active Learning with Guided BERT Feature Encoding." In Advances in Knowledge Discovery and Data Mining, 508–20. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33377-4_39.
Повний текст джерелаLiu, Yang, Yuehuan Wang, and Jun Wang. "An Improved MEEM Tracker via Adaptive Binary Feature Encoding." In Communications in Computer and Information Science, 413–25. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3002-4_35.
Повний текст джерелаNakajima, Shin. "Non-clausal Encoding of Feature Diagram for Automated Diagnosis." In Software Product Lines: Going Beyond, 420–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15579-6_29.
Повний текст джерелаVenugopalan, Shreyas, and Marios Savvides. "Iris Spoofing: Reverse Engineering the Daugman Feature Encoding Scheme." In Handbook of Iris Recognition, 355–66. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4402-1_18.
Повний текст джерелаDai, Qiang, Xi Cheng, and Li Zhang. "Multi-spectral Dynamic Feature Encoding Network for Image Demoiréing." In Lecture Notes in Computer Science, 151–62. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-15937-4_13.
Повний текст джерелаXing, Dong, Xianzhong Wang, and Hongtao Lu. "Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encoding." In Computer Vision - ACCV 2014 Workshops, 99–112. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16628-5_8.
Повний текст джерелаDai, Longqi, Bo Xu, and Hui Song. "Feature-Level Attention Based Sentence Encoding for Neural Relation Extraction." In Natural Language Processing and Chinese Computing, 184–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32233-5_15.
Повний текст джерелаLi, Shuyi, Haigang Zhang, Guimin Jia, and Jinfeng Yang. "Finger Vein Recognition Based on Weighted Graph Structural Feature Encoding." In Biometric Recognition, 29–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97909-0_4.
Повний текст джерелаТези доповідей конференцій з теми "FEATURE ENCODING"
Li, Ning, and Youfu Li. "Feature encoding for color image segmentation." In Multispectral Image Processing and Pattern Recognition, edited by Tianxu Zhang, Bir Bhanu, and Ning Shu. SPIE, 2001. http://dx.doi.org/10.1117/12.441437.
Повний текст джерелаNoor, Jumana, Muneeba Daud, Raima Rashid, Hira Mir, Saima Nazir, and Sergio A. Velastin. "Facial Expression Recognition using Hand-Crafted Features and Supervised Feature Encoding." In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). IEEE, 2020. http://dx.doi.org/10.1109/icecce49384.2020.9179473.
Повний текст джерелаShatnawi, Hazim, and H. Conrad Cunningham. "Encoding feature models using mainstream JSON technologies." In ACM SE '21: 2021 ACM Southeast Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3409334.3452048.
Повний текст джерелаZhou, Yao, Jiamin Ren, Jingyu Li, Litong Feng, Shi Qiu, and Ping Luo. "Video Classification via Relational Feature Encoding Networks." In the Workshop. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3134263.3134265.
Повний текст джерелаWang, Yu, and Jien Kato. "Good Choices for Deep Convolutional Feature Encoding." In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019. http://dx.doi.org/10.1109/wacv.2019.00039.
Повний текст джерелаLi, Lin, Zhaoxiang Zhang, Yan Huang, and Liang Wang. "Deep Temporal Feature Encoding for Action Recognition." In 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, 2018. http://dx.doi.org/10.1109/icpr.2018.8546263.
Повний текст джерелаRahimpour, Alireza, Ali Taalimi, and Hairong Qi. "Feature encoding in band-limited distributed surveillance systems." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952457.
Повний текст джерелаShi, Yunxiao, Haoyu Fang, Jing Zhu, and Yi Fang. "Pairwise Attention Encoding for Point Cloud Feature Learning." In 2019 International Conference on 3D Vision (3DV). IEEE, 2019. http://dx.doi.org/10.1109/3dv.2019.00024.
Повний текст джерелаAndo, Shin. "Latent feature encoding using dyadic and relational data." In the 20th ACM international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2063576.2063926.
Повний текст джерелаJin, Mengsi, JianHong Ye, JiLiang Luo, and Yan Lin. "Predictive Monitoring Algorithm Based on Global Feature Encoding." In 2020 IEEE International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2020. http://dx.doi.org/10.1109/icnsc48988.2020.9238130.
Повний текст джерелаЗвіти організацій з теми "FEATURE ENCODING"
Lers, Amnon, and Pamela J. Green. LX Senescence-Induced Ribonuclease in Tomato: Function and Regulation. United States Department of Agriculture, September 2003. http://dx.doi.org/10.32747/2003.7586455.bard.
Повний текст джерелаOstersetzer-Biran, Oren, and Jeffrey Mower. Novel strategies to induce male sterility and restore fertility in Brassicaceae crops. United States Department of Agriculture, January 2016. http://dx.doi.org/10.32747/2016.7604267.bard.
Повний текст джерелаElizur, Abigail, Amir Sagi, Gideon Hulata, Clive Jones, and Wayne Knibb. Improving Crustacean Aquaculture Production Efficiencies through Development of Monosex Populations Using Endocrine and Molecular Manipulations. United States Department of Agriculture, June 2010. http://dx.doi.org/10.32747/2010.7613890.bard.
Повний текст джерелаLers, Amnon, E. Lomaniec, S. Burd, A. Khalchitski, L. Canetti, and Pamela J. Green. Analysis of Senescence Inducible Ribonuclease in Tomato: Gene Regulation and Function. United States Department of Agriculture, February 2000. http://dx.doi.org/10.32747/2000.7570563.bard.
Повний текст джерелаMorrison, Mark, Joshuah Miron, Edward A. Bayer, and Raphael Lamed. Molecular Analysis of Cellulosome Organization in Ruminococcus Albus and Fibrobacter Intestinalis for Optimization of Fiber Digestibility in Ruminants. United States Department of Agriculture, March 2004. http://dx.doi.org/10.32747/2004.7586475.bard.
Повний текст джерелаMcElwain, Terry F., Eugene Pipano, Guy H. Palmer, Varda Shkap, Stephn A. Hines, and Wendy C. Brown. Protection of Cattle against Babesiosis: Immunization against Babesia bovis with an Optimized RAP-1/Apical Complex Construct. United States Department of Agriculture, September 1999. http://dx.doi.org/10.32747/1999.7573063.bard.
Повний текст джерелаMinz, Dror, Stefan J. Green, Noa Sela, Yitzhak Hadar, Janet Jansson, and Steven Lindow. Soil and rhizosphere microbiome response to treated waste water irrigation. United States Department of Agriculture, January 2013. http://dx.doi.org/10.32747/2013.7598153.bard.
Повний текст джерела