Results 111 to 120 of about 103,352 (315)
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
ARPILC: An Approach for Short-Term Prediction of Freeway Entrance Flow
IEEE Access, 2019 In modern intelligent transportation systems, short-term prediction of freeway entrance flow plays an important role in providing travelers timely traffic conditions.
Xiang Wang +5 more
doaj +1 more source
Estimation in Threshold Autoregressive Models with Nonstationarity [PDF]
This paper proposes a class of new nonlinear threshold autoregressive models with both stationary and nonstationary regimes. Existing literature basically focuses on testing for a unit–root structure in a threshold autoregressive model.
Dag Tjostheim, Jiti Gao, Jiying Yin
core
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Analysis of adequacy of autoregressive model for Lithuanian vowels
Lietuvos Matematikos Rinkinys, 2016 Autoregressive (AR) model is widely used for modeling of speech signals. Nevertheless, the problem of adequate modelling of Lithuanian speech is still open.
Jonas Kaukėnas +1 more
doaj +1 more source
THE RELATIONSHIP BETWEEN EXPORTS AND ECONOMIC GROWTH IN EAST ASIAN COUNTRIES: A MULTIVARIATE THRESHOLD AUTOREGRESSIVE APPROACH [PDF]
During the process of economic development, different economic policies are adopted in accordance with particular circumstances. Therefore, conventional methods of time-series analysis may give misleading results if the problems associated with regime ...
Chien-Hui Lee, Bwo-Nung Huang
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Advanced Intelligent Systems, EarlyView.A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
American Journal of Community Psychology, EarlyView.Abstract The current study seeks to explore the reciprocal associations between mentor–mentee relationship strength and relationships with parents and peers across 2 years of mentoring. It is a secondary analysis of data collected by a national mentoring organization from youth (N = 1368; M age = 11.5 years; 59% female; White [n = 629], 30% Black [n ...
Westley L. Fallavollita +1 more
wiley +1 more source
Robust estimation of the vector autoregressive model by a least trimmed squares procedure. [PDF]
The vector autoregressive model is very popular for modeling multiple time series. Estimation of its parameters is typically done by a least squares procedure.
Croux, Christophe, Joossens, Kristel
core
American Journal of Industrial Medicine, EarlyView.ABSTRACT Introduction Firefighters may experience occupational exposure to per‐ and polyfluoroalkyl substances (PFAS). Volunteer firefighters make up 65% of the US fire service, but their serum PFAS profiles have not been well characterized. This study aims to (1) describe PFAS serum profiles among US volunteer firefighters from 9 states enrolled in ...
Katherine A. Lubina +16 more
wiley +1 more source