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Artykuły w czasopismach na temat "Transfer of adaptation"
Schnier, Fabian, i Markus Lappe. "Differences in intersaccadic adaptation transfer between inward and outward adaptation". Journal of Neurophysiology 106, nr 3 (wrzesień 2011): 1399–410. http://dx.doi.org/10.1152/jn.00236.2011.
Pełny tekst źródłaEarhart, Gammon M., G. Melvill Jones, F. B. Horak, E. W. Block, K. D. Weber i W. A. Fletcher. "Forward Versus Backward Walking: Transfer of Podokinetic Adaptation". Journal of Neurophysiology 86, nr 4 (1.10.2001): 1666–70. http://dx.doi.org/10.1152/jn.2001.86.4.1666.
Pełny tekst źródłaWible, Brad. "Technology transfer for adaptation". Science 345, nr 6197 (7.08.2014): 634.5–635. http://dx.doi.org/10.1126/science.345.6197.634-e.
Pełny tekst źródłaBiagini, Bonizella, Laura Kuhl, Kelly Sims Gallagher i Claudia Ortiz. "Technology transfer for adaptation". Nature Climate Change 4, nr 9 (13.07.2014): 828–34. http://dx.doi.org/10.1038/nclimate2305.
Pełny tekst źródłaWang, Jinsung, i Robert L. Sainburg. "Interlimb Transfer of Novel Inertial Dynamics Is Asymmetrical". Journal of Neurophysiology 92, nr 1 (lipiec 2004): 349–60. http://dx.doi.org/10.1152/jn.00960.2003.
Pełny tekst źródłaMurali, Ranjani, Hang Yu, Daan R. Speth, Fabai Wu, Kyle S. Metcalfe, Antoine Crémière, Rafael Laso-Pèrez i in. "Physiological potential and evolutionary trajectories of syntrophic sulfate-reducing bacterial partners of anaerobic methanotrophic archaea". PLOS Biology 21, nr 9 (25.09.2023): e3002292. http://dx.doi.org/10.1371/journal.pbio.3002292.
Pełny tekst źródłaSauer, Yannick, Siegfried Wahl i Katharina Rifai. "Interocular transfer of distortion adaptation". Journal of Vision 20, nr 11 (20.10.2020): 663. http://dx.doi.org/10.1167/jov.20.11.663.
Pełny tekst źródłaRedding, Gordon M., i Benjamin Wallace. "Intermanual Transfer of Prism Adaptation". Journal of Motor Behavior 40, nr 3 (maj 2008): 246–64. http://dx.doi.org/10.3200/jmbr.40.3.246-264.
Pełny tekst źródłaKojima, Yoshiko, Albert F. Fuchs i Robijanto Soetedjo. "Adaptation and adaptation transfer characteristics of five different saccade types in the monkey". Journal of Neurophysiology 114, nr 1 (lipiec 2015): 125–37. http://dx.doi.org/10.1152/jn.00212.2015.
Pełny tekst źródłaLefumat, Hannah Z., Jean-Louis Vercher, R. Chris Miall, Jonathan Cole, Frank Buloup, Lionel Bringoux, Christophe Bourdin i Fabrice R. Sarlegna. "To transfer or not to transfer? Kinematics and laterality quotient predict interlimb transfer of motor learning". Journal of Neurophysiology 114, nr 5 (listopad 2015): 2764–74. http://dx.doi.org/10.1152/jn.00749.2015.
Pełny tekst źródłaRozprawy doktorskie na temat "Transfer of adaptation"
Garrick-Bethell, Ian 1980. "Cross plane transfer of vestibular adaptation to human centrifugation". Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17770.
Pełny tekst źródłaIncludes bibliographical references (p. 101-106).
Human short-radius centrifugation (SRC) is being investigated as a volume-efficient means of delivering intermittent doses of "artificial gravity" to counter the deleterious effects of long exposures to weightlessness. Rotation rates on short radius centrifuges are high to provide the needed g-loading, and therefore entail a variety of unusual vestibular stimuli when certain head movements are made. Since these movements can elicit inappropriate nystagmus, illusions of tumbling, and motion sickness, efforts have been made to adapt people to the stimuli. So far these efforts have been successful in showing that people will adapt to at least one plane of head motion, the yaw (transverse) plane, during supine head-on-axis rotation. However, astronauts must be adapted to all planes of head motion if they are to function normally on the centrifuge. If adaptation to yaw head turns transferred to some extent to pitch (sagittal) plane turns, or any other plane of motion, it would greatly simplify and hasten the adaptation process. To investigate if transfer of adaptation across planes is possible, 10 subjects in the Experimental Group performed a sufficient number of yaw plane head turns to demonstrate adaptation. Adaptation was indicated by decreases in metrics of the off-axis vestibuloocular reflex induced by the head turns, and by subjective ratings of illusory motion. A block of pitch movements was performed before and after the yaw movements, and these two pitch blocks were compared to assess how much adaptation to pitch head turns had taken place. The same procedure was followed on a subsequent day. A Control Group of 10 subjects performed only the blocks of pitch turns, and their adaptation was compared to the adaptation to pitch turns measured in the Experimental
(cont.) Group. While both Control and Experimental Groups showed statistically significant signs of adaptation to pitch head turns, we failed to find any significant differences between the amounts of adaptation. If true, this result implies that adaptation to SRC may need to be performed one plane of motion at a time. Additionally, it implies that the brain and vestibular system does not build up a generalized model of SRC stimulation, but rather builds adaptation one input at a time.
by Ian Garrick-Bethell.
S.M.
Otte, Ellen. "Transfer of adaptation across movement categories in eye hand coordination /". kostenfrei, 2008. http://nbn-resolving.de/urn:nbn:de:hbz:294-26534.
Pełny tekst źródłaBacklund, Per. "Development process knowledge transfer through method adaptation, implementation, and use /". Kista : Department of Computer and Systems Sciences, Stockholm University, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-287.
Pełny tekst źródłaMcFarlane, B. "Novel into film: Transfer and adaptation; the processes of transposition". Thesis, University of East Anglia, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374692.
Pełny tekst źródłaLefumat, Hannah. "Interlimb transfer of sensorimotor adaptation : predictive factors and underlying processes". Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4014/document.
Pełny tekst źródłaMotor adaptation refers to the capacity of our nervous system to produce accurate movements while the properties of our body and our environment continuously change. Interlimb transfer is a process that directly stems from motor adaptation. It occurs when knowledge gained through training with one arm change the performance of the opposite arm movements. Interlimb transfer of adaptation is an intricate process. Numerous studies have investigated the patterns of transfer and conflicted results have been found. The attempt of my PhD project was to identify which factors and processes favor interlimb transfer of adaptation and thence may explain the discrepancies found in the literature. The first two experiments aimed at investigated whether paradigmatic or idiosyncratic features would influence the performance in interlimb transfer. The third experiment provided some insights on the processes allowing interlimb transfer by using the dual-rate model of adaptation put forth by Smith et al. (2006). Our results show that inter-individual differences may be a key factor to consider when studying interlimb transfer of adaptation. Also, the study of the different sub-processes of adaptation seems helpful to understand how interlimb transfer works and how it can be related to other behaviors such as the expression of motor memory
Buechel, Kathryn Jean. "Institutional Adaptation and Public Policy Practices of Military Transfer Credit". Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96791.
Pełny tekst źródłaDoctor of Philosophy
This study provides findings on institutional adaptations to create policies and practices that public administrators use to apply transfer military credit into postsecondary academic credit. The focus is on postsecondary credit transferred, or articulated, by entering military first-year students using the GI Bill. The study asks how have major institutions of higher education formalized institutional policies and practices on awarding academic credit for military education?
Meftah, Sara. "Neural Transfer Learning for Domain Adaptation in Natural Language Processing". Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG021.
Pełny tekst źródłaRecent approaches based on end-to-end deep neural networks have revolutionised Natural Language Processing (NLP), achieving remarkable results in several tasks and languages. Nevertheless, these approaches are limited with their "gluttony" in terms of annotated data, since they rely on a supervised training paradigm, i.e. training from scratch on large amounts of annotated data. Therefore, there is a wide gap between NLP technologies capabilities for high-resource languages compared to the long tail of low-resourced languages. Moreover, NLP researchers have focused much of their effort on training NLP models on the news domain, due to the availability of training data. However, many research works have highlighted that models trained on news fail to work efficiently on out-of-domain data, due to their lack of robustness against domain shifts. This thesis presents a study of transfer learning approaches, through which we propose different methods to take benefit from the pre-learned knowledge on the high-resourced domain to enhance the performance of neural NLP models in low-resourced settings. Precisely, we apply our approaches to transfer from the news domain to the social media domain. Indeed, despite the importance of its valuable content for a variety of applications (e.g. public security, health monitoring, or trends highlight), this domain is still poor in terms of annotated data. We present different contributions. First, we propose two methods to transfer the knowledge encoded in the neural representations of a source model pretrained on large labelled datasets from the source domain to the target model, further adapted by a fine-tuning on few annotated examples from the target domain. The first transfers contextualised supervisedly pretrained representations, while the second method transfers pretrained weights, used to initialise the target model's parameters. Second, we perform a series of analysis to spot the limits of the above-mentioned proposed methods. We find that even if the proposed transfer learning approach enhances the performance on social media domain, a hidden negative transfer may mitigate the final gain brought by transfer learning. In addition, an interpretive analysis of the pretrained model, show that pretrained neurons may be biased by what they have learned from the source domain, thus struggle with learning uncommon target-specific patterns. Third, stemming from our analysis, we propose a new adaptation scheme which augments the target model with normalised, weighted and randomly initialised neurons that beget a better adaptation while maintaining the valuable source knowledge. Finally, we propose a model, that in addition to the pre-learned knowledge from the high-resource source-domain, takes advantage of various supervised NLP tasks
Batikh, Ali. "Saccadic adaptation : cross-modal transfer and effect of spatial attention". Electronic Thesis or Diss., Lyon 1, 2024. http://www.theses.fr/2024LYO10354.
Pełny tekst źródłaOur brain continuously generates saccadic eye movements and maintains their accuracy thanks to saccadic adaptation (SA). Despite this plasticity-based mechanism has been widely studied since the late 20th century, many questions remain unanswered. For instance, in addition to visual targets, saccades can also be performed toward somatosensory and auditory stimuli, but whether these ‘non-visual saccades’ can be subject to similar adaptive mechanisms as visual saccades is unknown. In the first part of this thesis, we investigated the possibility of adapting the amplitude of reactive saccades (RS) to tactile (Study 1) and auditory targets (Study 2) via the double target step paradigm, which has largely been used to induce adaptation of visual saccades since its introduction (McLaughlin 1967). We also investigated the bidirectional cross-modal transfer of adaptation between visual and tactile saccades, as well as between visual and auditory saccades, respectively. Our results revealed that tactile and auditory saccades can be adapted in much the same way as visual saccades. However, the transfer patterns were asymmetric: visual SA transferred fully to non-adapted tactile and auditory saccades, whereas tactile and auditory SA, despite complete generalization to saccades of the same modality but toward non-adapted locations, transferred only partially to the non-adapted visual saccades. On the one hand, the full transfer of visual saccades adaptation further supports the current view of a motor adaptation locus for visual RS. On the other hand, the low adaptation transfers to visual saccades suggest the presence of adaptation loci specific to non-visual RS and situated upstream of the final motor pathway common to all saccades. Interestingly, both studies also demonstrate that SA can be elicited in darkness, thus, without the vision of the post-saccadic target location. This seems to contradict current theories on the nature of error signals driving adaptation, which all rely on post-saccadic visual feedback. One potential factor that might serve as an error signal for SA is the locus of spatial attention, as suggested by some previous studies. Spatial attention oriented covertly (no eye movement) and saccadic orienting responses both critically contribute to visual perception and involve overlapping neural substrates. In addition, recent studies show that SA modulates the orienting of spatial attention while the reverse effect, that is, the effect of spatial attention on SA, remains unsettled. In the second part of this thesis (Study 3), we aim to assess in depth the possibility of a modulatory effect of spatial attention on SA. We used a combination of the double-step target paradigm (to induce adaptation) and the cross-modal attentional-orienting paradigm to investigate the effect of tactile exogenous and endogenous spatial attention on the adaptation of reactive and voluntary saccades, respectively. Our results show significant correlations between the amount and speed of saccadic adaptive changes and the amount of attention allocated toward or away from the adapted saccade target. Thus, Study 3 brings additional arguments in favor of a coupling between spatial attention and SA, possibly by means of an effect of spatial attention on the saccadic error signals at the level of the posterior parietal cortex. Overall, this work brings additional empirical insights on the control of accuracy of non-visual RS and further highlights the role of spatial attention in SA. Even though significant advances have been seen in models investigating the nature of the error signals driving SA, they currently do not consider the coupling between spatial attention and SA. Therefore, based on the available literature and the outcomes of this thesis, we suggest that future work should take into account the role of spatial attention in error processing
Howarth, Christopher. "Pattern adaptation and its interocular transfer in the primary visual cortex". Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54710/.
Pełny tekst źródłaShell, Jethro. "Fuzzy transfer learning". Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/8842.
Pełny tekst źródłaKsiążki na temat "Transfer of adaptation"
Kamnitsas, Konstantinos, Lisa Koch, Mobarakol Islam, Ziyue Xu, Jorge Cardoso, Qi Dou, Nicola Rieke i Sotirios Tsaftaris, red. Domain Adaptation and Representation Transfer. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16852-9.
Pełny tekst źródłaKoch, Lisa, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris i Dong Yang, red. Domain Adaptation and Representation Transfer. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45857-6.
Pełny tekst źródłaOrganization, Asian Productivity, red. Technology assimilation and adaptation: Survey & symposium report. Tokyo, Japan: Asian Productivity Organization, 1986.
Znajdź pełny tekst źródłaOrganization, Asian Productivity, red. Technology development, adaptation, and assimilation strategies at corporate level: Survey report. Tokyo: Asian Productivity Organization, 1994.
Znajdź pełny tekst źródłaAlbarqouni, Shadi, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett Landman, Wenqi Li, Fausto Milletari i in., red. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60548-3.
Pełny tekst źródłaMcFarlane, Brian. Novel into film: Transfer and adaptation : the processes of transposition. Norwich: University ofEast Anglia, 1987.
Znajdź pełny tekst źródłaA, Kuipers, Klopčič Marija i Thomas Cled, red. Knowledge transfer in cattle husbandry: New management practices, attitudes and adaptation. Wageningen, The Netherlands: Wageningen Academic Publishers, 2005.
Znajdź pełny tekst źródłaInternational, Symposium "Transfer and Adaptation of Advanced Technologies in Asia" (3rd 2001 Novosibirsk Russia). Adaptation and transfer of advanced technologies in Asia: International symposium : proceedings : Novosibirsk, Russia, August 21-23, 2001. Novosibirsk: Publishing House of the Siberian Branch RAS, 2002.
Znajdź pełny tekst źródłaAlbarqouni, Shadi, M. Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke i in., red. Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87722-4.
Pełny tekst źródłaWang, Qian, Fausto Milletari, Hien V. Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu i in., red. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33391-1.
Pełny tekst źródłaCzęści książek na temat "Transfer of adaptation"
Weik, Martin H. "transfer mode adaptation". W Computer Science and Communications Dictionary, 1810. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19895.
Pełny tekst źródłaKamath, Uday, John Liu i James Whitaker. "Transfer Learning: Domain Adaptation". W Deep Learning for NLP and Speech Recognition, 495–535. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14596-5_11.
Pełny tekst źródłaWeik, Martin H. "asynchronous transfer mode adaptation". W Computer Science and Communications Dictionary, 71. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_946.
Pełny tekst źródłaGupta, Abhishek, i Yew-Soon Ong. "Sequential Knowledge Transfer Across Problems". W Adaptation, Learning, and Optimization, 63–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02729-2_5.
Pełny tekst źródłaGupta, Abhishek, i Yew-Soon Ong. "Multitask Knowledge Transfer Across Problems". W Adaptation, Learning, and Optimization, 83–92. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02729-2_6.
Pełny tekst źródłaChen, Xiaoyi, i Régis Lengellé. "Domain Adaptation Transfer Learning by Kernel Representation Adaptation". W Lecture Notes in Computer Science, 45–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93647-5_3.
Pełny tekst źródłaZhang, Huaxiang. "Transfer Learning through Domain Adaptation". W Advances in Neural Networks – ISNN 2011, 505–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21111-9_57.
Pełny tekst źródłaMatsun, Aleksandr, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan i Mohammad Yaqub. "DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification". W Domain Adaptation and Representation Transfer, 115–25. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45857-6_12.
Pełny tekst źródłaKushol, Rafsanjany, Richard Frayne, Simon J. Graham, Alan H. Wilman, Sanjay Kalra i Yee-Hong Yang. "Domain Adaptation of MRI Scanners as an Alternative to MRI Harmonization". W Domain Adaptation and Representation Transfer, 1–11. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45857-6_1.
Pełny tekst źródłaMello Rella, Edoardo, Ajad Chhatkuli, Ender Konukoglu i Luc Van Gool. "MultiVT: Multiple-Task Framework for Dentistry". W Domain Adaptation and Representation Transfer, 12–21. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45857-6_2.
Pełny tekst źródłaStreszczenia konferencji na temat "Transfer of adaptation"
Chang, Hao-Yun, i Wen-Jiin Tsai. "Shadow-Aware Makeup Transfer with Lighting Adaptation". W 2024 IEEE International Conference on Image Processing (ICIP), 2271–77. IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10647290.
Pełny tekst źródłaXu, Wenjie, Meichen Liu i Bihan Wen. "Low-Rank Transformer Adaptation for Arbitrary Style Transfer". W ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1–5. IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887739.
Pełny tekst źródłaAttaullah, Hasina, Anum Kiani i Thorsten Jungeblut. "Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer". W 2024 International Conference on Frontiers of Information Technology (FIT), 1–6. IEEE, 2024. https://doi.org/10.1109/fit63703.2024.10838396.
Pełny tekst źródłaKim, Yeachan, Jun-Hyung Park, SungHo Kim, Juhyeong Park, Sangyun Kim i SangKeun Lee. "SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science". W Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track, 421–28. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-industry.31.
Pełny tekst źródłaLuo, Yuanchang, Zhanglin Wu, Daimeng Wei, Hengchao Shang, Zongyao Li, Jiaxin Guo, Zhiqiang Rao i in. "Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain". W Proceedings of the Ninth Conference on Machine Translation, 949–54. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.wmt-1.93.
Pełny tekst źródłaHasan, Md Nazmul, Rafia Nishat Toma, Sana Ullah Jan i Insoo Koo. "Transfer Learning with Domain Adaptation for Unlabelled Sensor Faulty Data Classification". W 2024 15th International Conference on Information and Communication Technology Convergence (ICTC), 42–47. IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10826888.
Pełny tekst źródłaKahenga, Ferdinand, Antoine Bagula i Sajal K. Das. "FedDAFL: Federated Transfer Learning with Domain Adaptation for Frugally Labeled Datasets". W GLOBECOM 2024 - 2024 IEEE Global Communications Conference, 2142–47. IEEE, 2024. https://doi.org/10.1109/globecom52923.2024.10901238.
Pełny tekst źródłaLi, Lusi, Haibo He, Jie Li i Guang Yang. "Adversarial Domain Adaptation via Category Transfer". W 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019. http://dx.doi.org/10.1109/ijcnn.2019.8851925.
Pełny tekst źródłaWang, Jindong, Yiqiang Chen, Shuji Hao, Wenjie Feng i Zhiqi Shen. "Balanced Distribution Adaptation for Transfer Learning". W 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 2017. http://dx.doi.org/10.1109/icdm.2017.150.
Pełny tekst źródłaChen, Zhihong, Chao Chen, Zhaowei Cheng, Boyuan Jiang, Ke Fang i Xinyu Jin. "Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation". W 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.01272.
Pełny tekst źródłaRaporty organizacyjne na temat "Transfer of adaptation"
Thompson, B., T. Koren i B. Buffam. PPP Over Asynchronous Transfer Mode Adaptation Layer 2 (AAL2). RFC Editor, grudzień 2002. http://dx.doi.org/10.17487/rfc3336.
Pełny tekst źródłaThompson, B., T. Koren i B. Buffam. Class Extensions for PPP over Asynchronous Transfer Mode Adaptation Layer 2. RFC Editor, grudzień 2002. http://dx.doi.org/10.17487/rfc3337.
Pełny tekst źródłaMorneault, K., R. Dantu, G. Sidebottom, B. Bidulock i J. Heitz. Signaling System 7 (SS7) Message Transfer Part 2 (MTP2) - User Adaptation Layer. RFC Editor, wrzesień 2002. http://dx.doi.org/10.17487/rfc3331.
Pełny tekst źródłaSidebottom, G., K. Morneault i J. Pastor-Balbas, red. Signaling System 7 (SS7) Message Transfer Part 3 (MTP3) - User Adaptation Layer (M3UA). RFC Editor, wrzesień 2002. http://dx.doi.org/10.17487/rfc3332.
Pełny tekst źródłaMorneault, K., i J. Pastor-Balbas, red. Signaling System 7 (SS7) Message Transfer Part 3 (MTP3) - User Adaptation Layer (M3UA). RFC Editor, wrzesień 2006. http://dx.doi.org/10.17487/rfc4666.
Pełny tekst źródłaGeorge, T., B. Bidulock, R. Dantu, H. Schwarzbauer i K. Morneault. Signaling System 7 (SS7) Message Transfer Part 2 (MTP2) - User Peer-to-Peer Adaptation Layer (M2PA). RFC Editor, wrzesień 2005. http://dx.doi.org/10.17487/rfc4165.
Pełny tekst źródłaSorensen, Soren J. Importance of Mobile Genetic Elements and Conjugal Gene Transfer for Subsurface Microbial Community Adaptation to Biotransformation of Metals. Office of Scientific and Technical Information (OSTI), czerwiec 2005. http://dx.doi.org/10.2172/893590.
Pełny tekst źródłaSorensen, Soren J. Importance of Mobile Genetic Elements and Conjugal Gene Transfer for Subsurface Microbial Community Adaptation to Biotransformation of Metals. Office of Scientific and Technical Information (OSTI), czerwiec 2004. http://dx.doi.org/10.2172/893687.
Pełny tekst źródłaVilalta, Ricardo. Modern Machine Learning Techniques. Instats Inc., 2024. http://dx.doi.org/10.61700/6sziq6usb3koe786.
Pełny tekst źródłaLindner, André, Jürgen Stamm, Edeltraud Günther, Mukand Babel, Hasmik Barseghyan i Kensuke Fukushi Titel. Water security and climate change adaptation as local challenges with global importance – addressing the gap between knowledge generation and best practice application. Technische Universität Dresden, 2022. http://dx.doi.org/10.25368/2023.117.
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