Results 61 to 70 of about 576,901 (299)

On the Suitability of MODIS Time Series Metrics to Map Vegetation Types in Dry Savanna Ecosystems: A Case Study in the Kalahari of NE Namibia

, 2009
The characterization and evaluation of the recent status of biodiversity in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes.
Martin Herold, Gessner, U., Hüttich, Christian, Dech, Stefan, Herold, M., Strohbach, B., Strohbach, Ben, Ursula Gessner, Hüttich, C., Stefan Dech, Ben J. Strohbach, Keil, M., Ben J. Strohbach, Dech, S., Manfred Keil, Schmidt, M., Gessner, Ursula, Herold, Martin, Keil, Manfred, Christian Hüttich, Michael Schmidt   +20 more
core   +1 more source

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi, Rie Tanaka, Reona Kawahira, Shingo Nabeta, Kouhei Naoi, Kazuhito Kitajima, Akira Wada, Tomonari Takagi, Norihiko Ohura, Akira Miyamoto   +9 more
wiley   +1 more source

Seeded Classification of Satellite Image Time Series with Lower-Bounded Dynamic Time Warping

Remote Sensing, 2022
Satellite Image Time Series (SITS) record the continuous temporal behavior of land cover types and thus provide a new perspective for finer-grained land cover classification compared with the usual spectral and spatial information contained in a static ...
Zheng Zhang, Ping Tang, Changmiao Hu, Zhiqiang Liu, Weixiong Zhang, Liang Tang   +5 more
doaj   +1 more source

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source

An Effective Confidence-Based Early Classification of Time Series

IEEE Access, 2019
Early classification of time series aims to predict the class value of a sequence accurately as early as possible, not wait for the full-length data, which is significant in many time-sensitive applications and has attracted great interest in recent ...
Junwei Lv, Xuegang Hu, Lei Li, Peipei Li
doaj   +1 more source

Time-series clustering via quasi U-statistics

, 2015
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)The problem of time-series discrimination and classification is discussed. We propose a novel clustering algorithm based on a
Pinheiro, A, Valk, M
core   +1 more source

Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach

, 2023
To date, graph-based learning methods are proven to be effective for modeling spatial and structural dependencies. However, when applied to IS-MTS, they encounter three major challenges due to the complex data characteristics of IS-MTS: 1) variable time ...
Jiang, Ting, Zhen Wang, Ting Jiang, Zhang, Ji, Wang, Zhen, Zenghui Xu, Xu, Zenghui, Gao, Jianliang, Ji Zhang, Jianliang Gao   +9 more
core   +1 more source

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

FEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil, Anna Corrà, Annalisa Scapolatiello, Chengxiang Qiu, Gianluca Amadei   +4 more
wiley   +1 more source

LOMATCE: LOcal Model-Agnostic Time Series Classification Explanations

IEEE Access
Deep learning models perform exceptionally well in time series classification, but their lack of interpretability remains a significant challenge. Although explainable AI (XAI) techniques are well established for image and tabular data, adapting these ...
Ephrem Tibebe Mekonnen, Luca Longo, Pierpaolo Dondio   +2 more
doaj   +1 more source

Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection

IEEE Access, 2022
Multivariate time series classification is a machine learning problem that can be applied to automate a wide range of real-world data analysis tasks. RandOm Convolutional KErnel Transform (ROCKET) proved to be an outstanding algorithm capable to classify
Agnieszka Bier, Agnieszka Jastrzebska, Pawel Olszewski   +2 more
doaj   +1 more source