An energy-trust balanced and attack-resilient cluster head election scheme for resource-constrained wireless sensor networks. [PDF]
Gopi R +5 more
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
An Optimized Clustering Routing Algorithm for Wireless Sensor Networks Based on Spotted Hyena and Improved Energy-Efficient Non-Uniform Clustering. [PDF]
Jia S, Jia S, Shao W, Li F.
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Heavy commercial vehicles' disposition: Anonymized dataset of German truck freight transport order trips (DT-DISPO). [PDF]
Winkler T +4 more
europepmc +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
A systematic trust management system for RPL based IoT networks using machine learning. [PDF]
Tyagi H, Kumar R, Pandey SK.
europepmc +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
An Embedded Multi-Sensor IoT Platform for Agricultural Monitoring Using Meshtastic-Based LoRa Communication and Cloud Microservices. [PDF]
Negulescu C +3 more
europepmc +1 more source

