Results 41 to 50 of about 1,352 (164)

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

open access: yesFuel Cells, Volume 26, Issue 2, April 2026.
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi   +5 more
wiley   +1 more source

DysRegNet: Patient‐specific and confounder‐aware dysregulated network inference towards precision therapeutics

open access: yesBritish Journal of Pharmacology, Volume 183, Issue 8, Page 1709-1724, April 2026.
Abstract Background and Purpose Gene regulation is frequently altered in diseases in unique and patient‐specific ways. Hence, personalised strategies have been proposed to infer patient‐specific gene‐regulatory networks. However, existing methods do not scale well because they often require recomputing the entire network per sample.
Johannes Kersting   +5 more
wiley   +1 more source

Identification of Missing Knowledge in MBSE System Models Using Graph‐Based Machine Learning

open access: yesSystems Engineering, Volume 29, Issue 2, Page 133-149, March 2026.
ABSTRACT The design and development of complex aerospace systems pose significant challenges due to their growing complexity. Iterative design processes, guided by formal specifications, strive to refine initially vague characteristics through multiple stages.
Esma Karagoz   +2 more
wiley   +1 more source

Prediction Model for Soybean Productivity [PDF]

open access: yesDatabase Systems Journal
This paper presents a holistic approach to biological and agricultural research focused on the use of interconnected technologies in the context of climate change.
Ion GANEA
doaj  

Partitioning based multi-persistence model for multi-paradigm database

open access: yesMeasurement: Sensors, 2023
In the era of Internet of things and social media huge amount of data are generated day by day from numerous sources. The problem for each and every organization is to tackle with the volume, variety and velocity of data.
Manbir Singh Punia   +2 more
doaj   +1 more source

Machine Learning Strategies to Circumvent Variabilities in Chemical Vapour‐Deposited Graphene Coatings for Remarkable Corrosion Resistance of Metals

open access: yesSmall Structures, Volume 7, Issue 2, February 2026.
This review proposes using machine learning (ML) and large language models (LLMs) to circumvent performance variabilities in chemical vapour deposition graphene coatings for corrosion resistance. ML optimises synthesis parameters, predicting quality metrics, for example, defect density and layer count, and LLMs structure complex literature data via a ...
Pragyan Goswami   +2 more
wiley   +1 more source

Fast power flow calculation for distribution networks based on graph models and hierarchical forward-backward sweep parallel algorithm

open access: yesFrontiers in Energy Research
IntroductionIn response to the issues of complexity and low efficiency in line loss calculations for actual distribution networks, this paper proposes a fast power flow calculation method for distribution networks based on Neo4j graph models and a ...
Xinrui Wang   +4 more
doaj   +1 more source

TrafficRobot: An AI Agent Framework for Urban Traffic Management

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
ABSTRACT As urbanisation accelerates, traditional Intelligent Transportation Systems (ITSs), reliant on manual monitoring and rule‐based logic, struggle to manage increasingly complex and dynamic traffic conditions. This study proposes TrafficRobot, a hierarchical AI agent framework that implements a closed‐loop control flow for urban traffic ...
Xiaohua Liu   +3 more
wiley   +1 more source

Storage efficiency comparison of UML models in selected database technologies

open access: yesJournal of Computer Sciences Institute, 2019
.The study answers the question which database is the best choice for efficient data storage of UML models. Three products were considered: MongoDB, PostgreSQL and Neo4J.
Andrii Filatov   +2 more
doaj   +1 more source

Knowledge Graph for Methane Selective Conversion: Revisiting and Predicting Product Selectivity and Methane Conversion

open access: yesAdvanced Science, Volume 12, Issue 48, December 29, 2025.
With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu   +11 more
wiley   +1 more source

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