Results 251 to 260 of about 442,254 (313)

Accessible AI-powered poultry disease diagnostics: development, validation, and web deployment of a farmer-friendly MobileNet-based system for coccidiosis and salmonella detection in resource-constrained settings. [PDF]

Poult Sci
Pranta AM.
europepmc   +1 more source

Frequency‐Domain Subspace Identification for Noninvasive Transformer Winding Parameter Estimation and Fault Diagnostics

International Journal of Circuit Theory and Applications, EarlyView.
Noninvasive frequency‐domain method estimates transformer winding parameters from terminal measurements, eliminating the need for design data. ABSTRACT A novel frequency‐domain subspace identification method enables precise estimation of transformer winding ladder network parameters directly from terminal measurements.
K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal, Palash Mishra   +3 more
wiley   +1 more source

Radiomics-based diagnosis of carotid artery stenosis using non-contrast CT: model development and validation. [PDF]

Eur J Med Res
Wang G, Zhang Y, Xu L, Ni J, Shen Y, Jin Q.   +5 more
europepmc   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Novel Cluster-Based SVM to reduce classification error in noisy EEG data: towards real-time brain-robot interfaces

, 2018
Martin Johansson
openalex   +1 more source

Enhancing fault detection in object-oriented software with hybrid SVM-ACO classification

openalex   +1 more source

Near-infrared spectroscopy combined with machine learning for plasma-based discriminant diagnosis of malignant mesothelioma: a retrospective study. [PDF]

PeerJ
Gu Y, Wang R, Mao W, Chen Z.
europepmc   +1 more source

Physiology–microhabitat matching may help organisms cope with the thermal and hydric challenges under climate change: a tale of two lizards

Ecography, EarlyView.
Climate change is significantly affecting biodiversity, and organisms that depend on external temperature – such as ectotherms – are particularly vulnerable to these effects. Microhabitats provide refuge for species, thereby reducing exposure to thermal and hydric stress under climate change.
Carolina Reyes‐ Puig, Antigoni Kaliontzopoulou, Neftalí Sillero, Urtzi Enriquez‐ Urzelai   +3 more
wiley   +1 more source