Results 61 to 70 of about 35,745,185 (300)

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

TDSpy: An open-source implementation of time delay stability analysis

SoftwareX
Time Delay Stability (TDS) is an established tool for analyzing the interaction between physiological systems in the human organism. Time series are measured with sensors from different organ systems and are analyzed pairwise.
Tabea F.A. Steinbrinker, Dagmar Krefting, Ronny P. Bartsch, Jan W. Kantelhardt, Nicolai Spicher   +4 more
doaj   +1 more source

Merchandise exports and economic growth: multivariate time series analysis for the United Arab Emirates

Journal of Applied Economics, 2020
This paper examines the validity of the export-led growth (ELG) hypothesis in the United Arab Emirates (UAE) over the period 1975–2012, using a neoclassical production function augmented with merchandise exports and imports of goods and services.
Athanasia S. Kalaitzi, Trevor W. Chamberlain   +1 more
doaj   +1 more source

Frequency band analysis of nonstationary multivariate time series

Biometrics
ABSTRACT Information from frequency bands in biomedical time series provides useful summaries of the observed signal. Many existing methods consider summaries of the time series obtained over a few well-known, pre-defined frequency bands of interest.
Raanju R Sundararajan, Scott A Bruce
openaire   +3 more sources

Charge Storage and Dark Photocatalysis in Multivariate Ti‐Based Metal‐Organic Frameworks

Advanced Materials, EarlyView.
The mixed‐linker series of the titanium‐based metal–organic framework COK‐47 enables systematic tuning of photoresponsiveness and (dark) photocatalytic activity, deepening our understanding of structure‐property‐function relationships. Tailored metal‐to‐ligand charge transfer between the secondary building units (metal‐oxo layers and organic linkers ...
Julia E. Knapp, Bibhuti Bhusan Rath, Borja Ortín‐Rubio, Lukas Bauder, Kristina Gjorgjevikj, Saunak Das, Mariia Ferree, Frédéric Laquai, Lorenzo Tesi, Bettina Baumgartner, Simon Krause, Bettina V. Lotsch   +11 more
wiley   +1 more source

Multivariate Time-Series Analysis Via Manifold Learning [PDF]

2018 IEEE Statistical Signal Processing Workshop (SSP), 2018
This paper presents a data-driven approach for analyzing multivariate time series. It relies on the hypothesis that highdimensional data often lie on a low-dimensional manifold whose geometry may be revealed using manifold learning techniques. We define a notion of distance between multivariate time series and use it to determine a low-dimensional ...
Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten   +2 more
openaire   +2 more sources

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Partial Transfer Learning from Patch Transformer to Variate-Based Linear Forecasting Model

Energies
Transformer-based time series forecasting models use patch tokens for temporal patterns and variate tokens to learn covariates’ dependencies. While patch tokens inherently facilitate self-supervised learning, variate tokens are more suitable for linear ...
Le Hoang Anh, Dang Thanh Vu, Seungmin Oh, Gwang-Hyun Yu, Nguyen Bui Ngoc Han, Hyoung-Gook Kim, Jin-Sul Kim, Jin-Young Kim   +7 more
doaj   +1 more source

Robust exponential smoothing of multivariate time series. [PDF]

Multivariate time series may contain outliers of different types. In presence of such outliers, applying standard multivariate time series techniques becomes unreliable. A robust version of multivariate exponential smoothing is proposed.
Croux, Christophe, Gelper, Sarah, Mahieu, Koen   +2 more
core  

UDP‐Glucose‐6‐Dehydrogenase Mediated O‐GlcNAcylation of Tight Junction Protein 1 Suppresses Metastasis in Renal Cell Carcinoma

Advanced Science, EarlyView.
Our research unveiled a regulatory paradigm wherein TRIM25 orchestrates the ubiquitin‐mediated degradation of UGDH. UGDH modulates the protein stability of TJP1 by regulating O‐GlcNAcylation levels, effectively impeding the metastasis of ccRCC. Our insights elevate UGDH to a pivotal biomarker and tumor suppressor, marking the first demonstration that ...
Xiaolin Chen, Yuhang Bao, Tao Liu, Jianhui Qiu, Yuanyuan Ma, Zedan Zhang, Chuandong Wang, Ruiyi Deng, Zheng Song, Tianyi He, Haode Liu, Jingcheng Zhou, Yizhou Wang, Kan Gong   +13 more
wiley   +1 more source