Improved embedded approaches

M Shur, M Strelets, A Travin, A Probst, S Probst… - Go4Hybrid: Grey Area …, 2018 - Springer
approaches (DLR, NTS, ONERA, and UniMan) were focused exactly on resolving this issue,
ie, improving … in order to improve some other aspects of the zonal approaches used by the …

The role of embedded research in quality improvement: a narrative review

C Vindrola-Padros, T Pape, M Utley… - BMJ Quality & …, 2017 - qualitysafety.bmj.com
… The approach we envision as embedded research is still in early stages of development,
but despite variations in the affiliation of researchers, a series of common features can be …

The time has come: embedded implementation research for health care improvement

K Churruca, K Ludlow, N Taylor… - Journal of evaluation …, 2019 - Wiley Online Library
… , iterative, and adaptive approaches to implementation and its evaluation. While not a singular
strategy, this paper has demonstrated that embedded approaches may provide a means …

Improving the performance of embedded systems with variable neighborhood search

J Sanchez-Oro, M Sevaux, A Rossi, R Marti… - Applied Soft …, 2017 - Elsevier
… In this paper, we focus on the Basic VNS (BVNS) approach. BVNS … an improvement
procedure, and the random component is given by a perturbation of the solution. The improvement

Using an embedded mixed methods design to assess and improve intervention acceptability of an equity-focused intervention: A methodological demonstration

E Bastable, P Meng, SF Falcon… - Behavioral …, 2023 - journals.sagepub.com
… Use of mixed methods designs to improve school interventions shows promise as an
approach to enhance our current understanding of discipline disproportionality and feasible …

A multidisciplinary cooperative problem-based learning approach to embedded systems design

DL Maskell, PJ Grabau - iEEE transactions on Education, 1998 - ieeexplore.ieee.org
… -BASED LEARNING APPROACH TO EMBEDDED SYSTEMS DESIGN … an improvement in
the standard of the final design product. In addition, there has been a general improvement in …

A survey on knowledge graph embedding: Approaches, applications and benchmarks

Y Dai, S Wang, NN Xiong, W Guo - Electronics, 2020 - mdpi.com
… Specifically, we first introduce the embedding models that only leverage the … approaches.
Next, we introduce the advanced models that utilize additional semantic information to improve

Wet paper codes with improved embedding efficiency

J Fridrich, M Goljan, D Soukal - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
… In this paper, we propose a new approach to wet paper codes using random linear … time
improves the embedding efficiency (number of random message bits embedded per embedding

Enhancing process-based hydrological models with embedded neural networks: A hybrid approach

B Li, T Sun, F Tian, G Ni - Journal of Hydrology, 2023 - Elsevier
… Based on the extracted pattern of the internal runoff module in the NN Q model, we introduce
the sum of rainfall and snowmelt to improve the performance of the EXP model, resulting in …

The nesC language: A holistic approach to networked embedded systems

D Gay, P Levis, R Von Behren, M Welsh, E Brewer… - Acm Sigplan …, 2003 - dl.acm.org
We present nesC, a programming language for networked embedded systems that represent
a new design space for application developers. An example of a networked embedded