Results 11 to 20 of about 61,577 (309)
Blowup for biharmonic NLS [PDF]
Annales scientifiques de l'École normale supérieure, 2017 We consider the Cauchy problem for the biharmonic (i.\,e.~fourth-order) NLS with focusing nonlinearity given by $i \partial_t u = Δ^2 u - μΔu -|u|^{2 σ} u$ for $(t,x) \in [0,T) \times \mathbb{R}^d$, where $0 < σ 4/d$, we prove a general result on finite-time blowup for radial data in $H^2(\mathbb{R}^d)$ in any dimension $d \geq 2$.
Boulenger, Thomas, Lenzmann, Enno
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Characterization of Ku70(2)-NLS as bipartite nuclear localization sequence for non-viral gene delivery. [PDF]
PLoS ONE, 2012 Several barriers have to be overcome in order to achieve gene expression in target cells, e.g. cellular uptake, endosomal release and translocation to the nucleus.
Johannes Matschke +5 more
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EXPERIMENT ON PRODUCING DISPARITY MAPS FROM AERIAL STEREO IMAGES USING UNSUPERVISED AND SUPERVISED METHODS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Recent advancement in hardware and software provides the possibility of realizing full automation in stereo-image tasks. This paper investigated disparity map generation from aerial images with different methods: unsupervised method and supervised ...
L. Zhu +3 more
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On the Stability of Periodic Waves for the Cubic Derivative NLS and the Quintic NLS [PDF]
Journal of Nonlinear Science, 2021 We study the periodic cubic derivative non-linear Schrödinger equation (dNLS) and the (focussing) quintic non-linear Schrödinger equation (NLS). These are both $L^2$ critical dispersive models, which exhibit threshold type behavior, when posed on the line ${\mathbb R}$. We describe the (three parameter) family of non-vanishing bell-shaped solutions for
Sevdzhan Hakkaev +2 more
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Advantages of Using Transfer Learning Technology with a Quantative Measurement
Remote Sensing, 2023 The number of people living in cities is continuously growing, and the buildings in topographic maps are in need of frequent updates, which are costly to perform manually. This makes automatic building extraction a significant research subject.
Emilia Hattula +4 more
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COMBINING YOLO V5 AND TRANSFER LEARNING FOR SMOKE-BASED WILDFIRE DETECTION IN BOREAL FORESTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Wildfires present severe threats to various aspects of ecosystems, human settlements, and the environment. Early detection plays a critical role in minimizing the destructive consequences of wildfires.
A.-M. Raita-Hakola +8 more
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Sensors, 2022 Today, a substantial portion of global trade is carried by sea. Consequently, the reliance on Global Navigation Satellite System (GNSS)-based navigation in the oceans and inland waterways has been rapidly growing.
Saiful Islam +3 more
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Discrete Applied Mathematics, 2021 15 pages, 2 ...
Barbara Altenbokum +2 more
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Remote Sensing, 2023 Oat products are significant parts of a healthy diet. Pure oat is gluten-free, which makes it an excellent choice for people with celiac disease. Elimination of alien cereals is important not only in gluten-free oat production but also in seed production.
Ehsan Khoramshahi +7 more
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Mapping Small Watercourses from DEMs with Deep Learning—Exploring the Causes of False Predictions
Remote Sensing, 2023 Vector datasets of small watercourses, such as rivulets, streams, and ditches, are important for many visualization and analysis use cases. Mapping small watercourses with traditional methods is laborious and costly.
Christian Koski +4 more
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