Results 241 to 250 of about 1,042,408 (297)

Analyzing genotype-environment interactions and identifying stable and high-yielding sorghum (Sorghum bicolor [L.] Moench) genotypes using different stability models. [PDF]

BMC Plant Biol
Tiruneh A, Bezabih A, Chakle S, Mulugeta T, Legesse A, Ayfokiru A, Temeche D, Abere E, Abebe A, Sisay T, Tefera N, Taye K.   +11 more
europepmc   +1 more source

Entanglement generation between different center-of-mass motions in double levitated micromagnet system. [PDF]

Sci Rep
Liu W, Rao S.
europepmc   +1 more source

An innovative inspection of a cantilever beam exposed to principal parametric excitation. [PDF]

Sci Rep
Moatimid GM, Amer TS, Mohamed MAA.
europepmc   +1 more source

Deep learning for the change-point Cox model with current status data. [PDF]

Lifetime Data Anal
Huang Q, Feng A, Wu Q, Tong X.
europepmc   +1 more source

HealthContradict: Evaluating biomedical knowledge conflicts in language models. [PDF]

NPJ Digit Med
Zhang B, Bornet A, Yang R, Liu N, Teodoro D.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Adaptive parametric change point inference under covariance structure changes

Statistical Papers, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stergios B. Fotopoulos, Abhishek Kaul, Vasileios Pavlopoulos, Venkata K. Jandhyala   +3 more
openaire   +2 more sources

Ensemble of Unsupervised Parametric and Non-Parametric Techniques to Discover Change Actions

2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 2021
To support IT change automation in cloud-native deployments, we propose to discover change actions from IT change requests. Traditional approaches to discover actions rely on a pre-established set of actions. However in practice, the catalog dictionaries rarely cover a sufficient portion of the IT change requests, resulting in missed automation ...
Anup K. Kalia, Raghav Batta, Jin Xiao, Maja Vukovic   +3 more
openaire   +1 more source