Results 241 to 250 of about 336,714 (315)
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken +4 more
wiley +1 more source
Hybrid machine learning and Gaussian process for antenna parameter estimation. [PDF]
Thao HTP, Kien TV.
europepmc +1 more source
Relative absolute bias and RMSE of estimated shape parameter for q = 0.1.
Laxmi Prasad Sapkota (21519298) +2 more
openalex +1 more source
A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang +3 more
wiley +1 more source
Enhancing cancer drug discovery: QSAR modeling with machine learning and chemical representations. [PDF]
Acosta-Murillo R +2 more
europepmc +1 more source
Scatter plot showing the relationship between RMSE and human similarity.
Yuki Kubota (10231766) +1 more
openalex +1 more source
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Modeling person guessing as a random effect: a Bayesian approach of the two-parameter logistic model. [PDF]
Sideridis G, Alghamdi M.
europepmc +1 more source
Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi +3 more
wiley +1 more source

