Results 211 to 220 of about 638,996 (262)

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

Advanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus, Bradlee J. McIntosh, Lili Vajtai, Anna Nyáry, Sándor H. Sipos, Nirmal J. Ghimire, Ferenc Simon, László Forró, Dávid Beke   +8 more
wiley   +1 more source

Fusion of Physical Mechanism and Data-Driven Methods for Online Thickness Measurement and Error Compensation in SiC CMP. [PDF]

Micromachines (Basel)
Lin J, Chen T, Ren Y, Song Z, Lyu B, Yuan J, Zhao W.   +6 more
europepmc   +1 more source

State of Health Estimation for Lithium-Ion Batteries via Fused Impedance Feature and V‑Transformer-AGLU Network. [PDF]

ACS Omega
Fang Y, Zhang X, Wang Y, Yang C, Zhang C, Wang A, Cheng K.   +6 more
europepmc   +1 more source

Integrated deep learning-driven multi-stage steam forecasting and scheduling optimization for converter energy systems. [PDF]

Sci Rep
Hu Y, Huang B, Gao C, Xu R, Hu X.
europepmc   +1 more source

A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings. [PDF]

Sci Rep
Agarwal N, Tayal DK, Rajeena PPF, Rahoof PP, Alkhaldi N, Ali MAS, Sunder R, Ali HS.   +7 more
europepmc   +1 more source

Enhancing the pricing efficiency of financial assets with an optimized bayesian network based on efficient fusion. [PDF]

PLoS One
Fu Q, Li X.
europepmc   +1 more source

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Dynamic Seasonality in Time Series

SSRN Electronic Journal, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mike K. P. So, Ray S. W. Chung
openaire   +2 more sources

Weighted Dynamic Time Warping for Time Series

International Journal of Bifurcation and Chaos, 2023
Recurrence network is a typical time series analysis method. However, irregular sampling may overshadow the dynamic features characterized by traditional recurrence network method, which makes the method ineffective. This paper introduces dynamic time warping method to determine the distance between time series segments.
Guangyu Yang, Shuyan Xia
openaire   +2 more sources

Dynamic aggregation for time series forecasting

2015 IEEE International Conference on Big Data (Big Data), 2015
The proliferation of data has led to demand sensing and shaping at the most granular product and geography levels. This has led to a need to optimize tens and many times hundreds of millions of geography product treatments on a weekly basis. The amount of data has overwhelmed the ability to monitor individual recommendations, even by exception. In this
Sam Iosevich, Georgiy Arutyunyants, Z. Hou   +2 more
openaire   +1 more source