Results 31 to 40 of about 2,255 (170)
VOLUMETRIC AND SPATIAL SEGMENTATION OF THE TIEN SHAN LITHOSPHERE ACCORDING TO GEOPHYSICAL DATA
Геодинамика и тектонофизика, 2021 This article consolidates the results of studying the deep structure of the lithosphere of the Central Tien Shan, which aimed to identify the main tectonic elements in its geophysical models.
A. K. Rybin +3 more
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Regional waveform calibration in the Pamir-Hindu Kush region [PDF]
, 1997 Twelve moderate-magnitude earthquakes (m_b 4–5.5) in the Pamir-Hindu Kush region are investigated to determine their focal mechanisms and to relocate them using their regional waveform records at two broadband arrays, the Kyrgyzstan Regional Network ...
Helmberger, Donald V. +3 more
core +1 more source
Shanghai Jiaotong Daxue xuebao. Yixue banObjective·To compare the performance of various deep learning methods in the segmentation and classification of colorectal polyp endoscopic images, and identify the most effective approach.Methods·Four colorectal polyp datasets were collected from three ...
CHEN Jian +5 more
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Energy-based Stabilization of Network Flows in Multi-machine Power Systems
, 2018 This paper considers the network flow stabilization problem in power systems and adopts an output regulation viewpoint. Building upon the structure of a heterogeneous port-Hamiltonian model, we integrate network aspects and develop a systematic control ...
Arghir, Catalin, Dörfler, Florian
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Rate and apparent quantum yield of photodissolution of sedimentary organic matter [PDF]
, 2012 Author Posting. © Association for the Sciences of Limnology and Oceanography, 2012. This article is posted here by permission of Association for the Sciences of Limnology and Oceanography for personal use, not for redistribution. The definitive version
Boss, Emmanuel S. +2 more
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Morphological Analysis Using a Sequence Decoder
Transactions of the Association for Computational Linguistics, 2019 We introduce Morse, a recurrent encoder-decoder model that produces morphological analyses of each word in a sentence. The encoder turns the relevant information about the word and its context into a fixed size vector representation and the decoder ...
Akyürek, Ekin +2 more
doaj +1 more source
, 2010 Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back propagation neural (BPN) network has been applied successfully in many areas ...
Lee, Ming-Chang, To, Chang
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Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs [PDF]
, 2017 Background: MicroRNAs (miRNAs) have been shown to play an important role in pathological initiation, progression and maintenance. Because identification in the laboratory of disease-related miRNAs is not straightforward, numerous network-based methods ...
Dinh-Toi Chu, Dinh-Toi Chu +4 more
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BioMed Research International, Volume 2017, Issue 1, 2017., 2017 Protein phosphorylation is catalyzed by kinases which regulate many aspects that control death, movement, and cell growth. Identification of the phosphorylation site‐specific kinase‐substrate relationships (ssKSRs) is important for understanding cellular dynamics and provides a fundamental basis for further disease‐related research and drug design ...
Minghui Wang +5 more
wiley +1 more source
Visualizing Gene Clusters using Neighborhood Graphs in R [PDF]
, 2008 The visualization of cluster solutions in gene expression data analysis gives practitioners an understanding of the cluster structure of their data and makes it easier to interpret the cluster results.
Leisch, Friedrich, Scharl, Theresa
core +1 more source