Results 91 to 100 of about 232,265 (304)

Design for robustness of complex automotive electronic systems [PDF]

The continual expansion in requirements for vehicle features results in a rapidly increasing complexity of automotive electronic systems. Automotive electronics exhibit properties of systems of systems including that of emergent behaviour and validation ...
McMurran, Ross
core  

The Application of Monte Carlo Method for Sensitivity Analysis of Compressor Components [PDF]

, 2012
The robustness evaluation of compressor components must take into account the variations in the mechanical properties of the material (such as Young\u27s modulus and mass density), geometric parameters (as radius, thickness, length) and loads. Sometimes,
Silva, Julio César, Bortoli, Marcos Giovani Dropa de   +1 more
core   +1 more source

Unsupervised Evaluation of Parser Robustness [PDF]

, 2005
This article describes an automatic evaluation procedure for NLP system robustness under the strain of noisy and ill-formed input. The procedure requires no manual work or annotated resources. It is language and annotation scheme independent and produces
Sjöbergh, Jonas,, Knutsson, Ola, Jonas Sjöbergh, Johnny Bigert, Magnus Sahlgren, Bigert, Johnny, Ola Knutsson, Bigert, Johnny,, Sahlgren, Magnus, Sahlgren, M., Knutsson, Ola,, Sjöbergh, Jonas   +11 more
core   +1 more source

A Validation Strategy for Deep Learning Models: Evaluating and Enhancing Robustness

IEEE Open Journal of the Computer Society
Data-driven models, especially deep learning classifiers often demonstrate great success on clean datasets. Yet, they remain vulnerable to common data distortions such as adversarial and common corruption perturbations.
Abdul-Rauf Nuhu, Parham M. Kebria, Vahid Hemmati, Benjamin Lartey, Mahmoud Nabil Mahmoud, Abdollah Homaifar, Edward Tunstel   +6 more
doaj   +1 more source

Robustness and Reliability of Federated Learning

, 2022
Federated Learning (FL) is a newly introduced distributed learning scheme, which is designed with users' privacy in mind, by never collecting clients' data during the training process. FL's process starts with the server sending a model to clients, then the clients train that model using their local data and send the updated model back to the server ...
openaire   +2 more sources

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

Two Ways to Rule out Error: Severity and Security [PDF]

, 2008
I contrast two modes of error-elimination relevant to evaluating evidence in accounts that emphasize frequentist reliability. The contrast corresponds to that between the use of of a reliable inference procedure and the critical scrutiny of a procedure ...
Staley, Kent
core  

LIGHTWEIGHT DESIGN FOR OVERHAUL TOOLING SUPPORT SEAT BASED ON TOPOLOGY OPTIMIZATION AND SIX SIGMA ROBUSTNESS

Jixie qiangdu, 2020
In order to give full play to the lightweight potential of the tread braking unit（ TBU） overhaul tooling support seat and improve the reliability and robustness of the optimization design,an optimization strategy composed of topology optimization and ...
WANG ZiNing, WU JianJun, XIANG JianMing, WANG BaiSong, JIN YingQi   +4 more
doaj  

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source