Results 51 to 60 of about 301,029 (268)
Data extracted directly from a vehicle’s electronic control unit (ECU) play a crucial role in the automotive industry because they contain valuable information from the engine and electronic parts.
Rafael Canal +2 more
doaj +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Automatic modulation classification models based on deep learning models are at risk of being interfered by adversarial attacks. In an adversarial attack, the attacker causes the classification model to misclassify the received signal by adding carefully
Fanghao Xu +5 more
doaj +1 more source
Combining PCA and DCT for Improved Passive Seismic Data Compression
The seismic surveys conducted by the oil and gas sector result in very large datasets, often exceeding terabytes of data, leading to high costs and technical challenges regarding storage and transmission of such large quantities of data.
Matheus Wagner +3 more
doaj +1 more source
Secure, Robust and Flexible Cooperative Downloading Scheme for Highway VANETs
The increasing popularity of smart vehicles and vehicular ad hoc networks (VANETs) has reinforced the importance of Internet connectivity. However, existing solutions (e.g., those based on cooperative downloading via drive-thru Internet) have a number of
Yan Zhang +4 more
doaj +1 more source
In this review, the current state of light‐assisted 3D printing as it pertains to engineering musculoskeletal tissues including bone, cartilage, skeletal muscle, tendon, and ligaments is summarized. Common printing techniques, photoreactive materials, and study design choices are compiled and reviewed.
Meagan Morgan, Bin Zhang, Roger Narayan
wiley +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
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Background In an increasingly global comorbid population, there are significant challenges to diagnosing the cause of breathlessness. Furthermore, once chronic respiratory conditions have been diagnosed, there is considerable difficulty in detecting ...
Daniel M Neville +16 more
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source

