Results 51 to 60 of about 43,564 (255)
Econometric ridge regression models of risk-sensitive sunflower yield
Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2021 The article considers econometric ridge regression models of the risk-sensitive sunflower yield on the example of an export-oriented agricultural crop.
M.I. Slozhenkina +6 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Quadratic forms in Normal Variates Under Ridge Regression. [PDF]
The Egyptian Statistical Journal, 1997 This paper concentrates on studying the quadratic forms in normal variates which appear when testing linear statistical hypothesis under ridge regression with positive non-stochastic biased factors k1, k2, …, kp . Except for the correction factor nȳ2, it
Abdul-Mordy Azzam
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Advanced Materials, EarlyView.Micro‐topographical cues applied through temporally controlled microscale confinement improve the reproducibility, spatial organization, and neurosensory‐associated features of pluripotent stem cell‐derived inner ear organoids. Integration with a vascularized organoid platform further enables controlled investigation of vascular‐epithelial interactions
Harshita Sharma +15 more
wiley +1 more source
Local earthquake magnitude estimation using ridge regression model
Electronics Letters, 2022 In this paper, a local magnitude estimation model using ridge regression is proposed for the accurate determination of the local magnitude of earthquakes.
Hyeongki Ahn +4 more
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Maskless Fabrication of PLA‐Based Neural Arrays for CNS Recording and Stimulation
Advanced Materials Interfaces, EarlyView.Biodegradable neural interfaces enable bidirectional communication with the CNS. Through electrochemical characterization, ageing tests with impedance monitoring, and in vivo validation, we assess the performance of PLA‐based epicortical and spinal implants.
Anna De Salvo +14 more
wiley +1 more source
Recovering Jackknife Ridge Regression Estimates from OLS Results [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2014 The aim of this paper is addressing or recalculate the estimation methods in multiple linear regression model when there is a problem of Multicollinearity in this model like the ridge regression for Hoerl and Kannard, Baldwin estimator (HKB) and ...
Feras Sh. Mahmood
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Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Scientific African, 2022 The parameters in the Poisson regression model are usually estimated using the maximum likelihood estimator (MLE). MLE suffers a breakdown when there is either multicollinearity or outliers in the Poisson regression model.
Kingsley C Arum +2 more
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TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source