Results 181 to 190 of about 234,460 (307)

A note on the Taylor series expansions for multivariate characteristics of classical risk processes. [PDF]

The series expansion introduced by Frey and Schmidt (1996) [Taylor Series expansion for multivariate characteristics of classical risk processes.
Usábel, Miguel A.
core  

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

TSA-Net: Multivariate Time Series Anomaly Detection Based on Two-Stage Temporal Attention. [PDF]

Sensors (Basel)
Wu H, Le W, Jia ZH, Zhao H, Zhang S, Zhang ZS.   +5 more
europepmc   +1 more source

Extraction of Common Signal from Series with Different Frequency [PDF]

The extraction of a common signal from a group of time series is generally obtained using variables recorded with the same frequency or transformed to have the same frequency (monthly, quarterly, etc.).
Edoardo Otranto
core  

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Guidance for Interactive Visual Analysis in Multivariate Time Series Preprocessing. [PDF]

Sensors (Basel)
Valdivia FLP, Baca HAH.
europepmc   +1 more source

Robust Control Charts for Time Series Data [PDF]

This article presents a control chart for time series data, based on the one-step- ahead forecast errors of the Holt-Winters forecasting method. We use robust techniques to prevent that outliers affect the estimation of the control limits of the chart ...
Mahieu, K., Gelper, S., Croux, C.
core   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Ketazine‐Linked Covalent Organic Framework for Metal‐Free Electrocatalytic Nitrate‐to‐Ammonia Conversion

Angewandte Chemie, EarlyView.
A metal‐free fluorinated ketazine‐linked COF is introduced as an efficient electrocatalyst for nitrate reduction to ammonia under neutral conditions. Fluorine substitution enhances π–π stacking and crystallinity, enabling a Faradaic efficiency of 59.9% and an NH3 yield rate of 1639.9 µmol h−1 mgCOF−1 at −0.9 V versus RHE. This establishes an unexplored
Islam E. Khalil, Ashadul Adalder, Badr Elkamash, Narad Barman, Darosch Asgari, Luoxing Xiang, Warisha Tahir, Franziska Hess, Ranjit Thapa, Adisak Boonchun, Uttam Kumar Ghorai, Prasenjit Das, Arne Thomas   +12 more
wiley   +2 more sources

Dynamic Thermography-Based Early Breast Cancer Detection Using Multivariate Time Series. [PDF]

Sensors (Basel)
Espejel-Rivera MA, Toxqui-Quitl C, Padilla-Vivanco A, Castro-Ortega R.   +3 more
europepmc   +1 more source