[HTML][HTML] An attention-aware LSTM model for soil moisture and soil temperature prediction

Q Li, Y Zhu, W Shangguan, X Wang, L Li, F Yu - Geoderma, 2022 - Elsevier
Accurate prediction of soil moisture (SM) and soil temperature (ST) plays an important role in
Earth system science, hel** to forecast and understand ecosystem changes. They present …

Food modelling strategies and approaches for knowledge transfer

K Kansou, W Laurier, MN Charalambides… - Trends in Food Science …, 2022 - Elsevier
Background Scientific software incorporates models that capture fundamental domain
knowledge. This software is becoming increasingly more relevant as an instrument for food …

A periodic iterative learning scheme for finite-iteration tracking of discrete networks based on FlexRay communication protocol

W **ong, DWC Ho, S Wen - Information Sciences, 2021 - Elsevier
In this study, the finite-iteration tracking of discrete networks is analyzed by designing a new
kind of periodic iterative learning control (ILC) strategy. In the proposed ILC scheme, the …

Ontology for linking delay claims with 4D simulation to analyze effects-causes and responsibilities

M Guévremont, A Hammad - Journal of Legal Affairs and Dispute …, 2021 - ascelibrary.org
Visualizing and analyzing the specifics of delay claims in relation to effects and causes and
assigning responsibility are a challenge for attorneys, jurists, and judges. Four-dimensional …

Expert systems for food safety

M Filter, B Appel, A Buschulte - Current Opinion in Food Science, 2015 - Elsevier
Highlights•An introduction into the area of expert systems in the domain of food safety is
given.•Issues hampering practical application of decision support tools are highlighted.•A …

Research on a complex network and online review data-driven product innovation design

H Zhao, Z Liu, X Yao, X Cai, D Wu - Production Planning & Control, 2023 - Taylor & Francis
As a significant conduit for online word-of-mouth, product online reviews (PORs) play a vital
function for businesses and prospective customers. However, enormous and diversified …

[HTML][HTML] Intelligent fatigue damage tracking and prognostics of composite structures utilizing raw images via interpretable deep learning

P Komninos, AEC Verraest, N Eleftheroglou… - Composites Part B …, 2024 - Elsevier
In recent years, prognostics gained attention in various industries by optimizing
maintenance, boosting operational efficiency, and preventing costly downtime. Central to …

Algebraic graph transformations for formalizing ontology changes and evolving ontologies

M Mahfoudh, G Forestier, L Thiry… - Knowledge-Based …, 2015 - Elsevier
An ontology represents a consensus on the representation of the concepts and axioms of a
given domain. This consensus is often reached through an iterative process, each iteration …

Expertise-based decision support for managing food quality in agri-food companies

P Buche, B Cuq, J Fortin, C Sipieter - Computers and Electronics in …, 2019 - Elsevier
In many agri-food companies, food quality is often managed using expertise gained through
experience. Overall quality enhancement may come from sharing collective expertise. In this …

Choice of environment-friendly food packagings through argumentation systems and preferences

B Yun, P Bisquert, P Buche, M Croitoru, V Guillard… - Ecological …, 2018 - Elsevier
Food packaging plays a crucial part in the post-harvest environmental impact of fresh foods.
Packaging is usually wrongly considered as additional economical and environmental costs …