Results 61 to 70 of about 19,696,345 (257)

The formulation of structural time series models in discrete and continuous time [PDF]

, 1983
This paper sets out an approach for modelling univariate time series, including those in which observations are available on a daily basis. An underlying continuous time model is formulated and it is shown that this model has important implications for ...
Harvey, A. C., Harvey, Andrew C.
core  

Feeding, Fear, and Acceptance: Caregivers’ Experiences of Nutritional Support During Childhood Cancer Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques, Mariana dos Santos Murra, Welinton Hirai, Ana Laura Balduino do Nascimento, Karla Emilia de Sá Rodrigues, Wilson Elias de Oliveira Junior   +5 more
wiley   +1 more source

Multivariate time series classification with temporal abstractions [PDF]

, 2009
The increase in the number of complex temporal datasets collected today has prompted the development of methods that extend classical machine learning and data mining methods to time-series data.
Hauskrecht, M, Sacchi, Lucia, Bellazzi, R, Bellazzi, Riccardo, Batal, L, Batal , Iyad, Sacchi, L, Hauskrecht, Milos   +7 more
core  

Adaptive feature fusion for time series classification

, 2022
Time series classification is one of the most critical and challenging problems in data mining, which exists widely in various fields and has essential research significance.
Liu, Zhaoying, Zhang, Ting, Li, Yujian, Hussain, Syed Fawad; id_orcid, Waqas, Muhammad, Wang, Tian, Zhaoying Liu, Ting Zhang, Syed Fawad Hussain, Muhammad Waqas, Yujian Li, Tian Wang   +11 more
core   +1 more source

Time Series Classification with Linguistic Summaries [PDF]

Advances in Intelligent Systems Research, 2015
Soft computing techniques may provide various forms of human-consistent summaries about large time series databases, e.g., linguistic summaries, frequent patterns, fuzzy IF-THEN rules. Within this research, we focus on linguistic summaries constructed as linguistically quantified propositions, that may be exemplified by ‘Among all increasing trends ...
Katarzyna Kaczmarek, Olgierd Hryniewicz
openaire   +2 more sources

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Feature-fused residual network for time series classification

Journal of King Saud University: Computer and Information Sciences
In various fields such as healthcare and transportation, accurately classifying time series data can provide important support for decision-making. To further improve the accuracy of time series classification, we propose a Feature-fused Residual Network
Yanxuan Wei, Mingsen Du, Teng Li, Xiangwei Zheng, Cun Ji   +4 more
doaj   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

FEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

LSTM Fully Convolutional Networks for Time Series Classification

IEEE Access, 2018
Fully convolutional neural networks (FCNs) have been shown to achieve the state-of-the-art performance on the task of classifying time series sequences.
Fazle Karim, Somshubra Majumdar, Houshang Darabi, Shun Chen   +3 more
doaj   +1 more source