Results 181 to 190 of about 75,968 (304)

SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data. [PDF]

Biol Methods Protoc
She J, Alterovitz G.
europepmc   +1 more source

Forecasting House Prices: The Role of Market Interconnectedness

Journal of Forecasting, EarlyView.
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen, George Milunovich, Shuping Shi, Ben Wang   +3 more
wiley   +1 more source

An Approximate Bayesian Approach to Optimal Input Signal Design for System Identification. [PDF]

Entropy (Basel)
Bania P, Wójcik A.
europepmc   +1 more source

Optimization of Multi‐Millet Cookie Formulation Using Mixture Design and Their Physicochemical Characterization

Food Safety and Health, EarlyView.
Sensory‐driven optimization of multi‐millet cookie formulation using RSM. ABSTRACT The effect of the composition of multi‐millet flour on the sensory acceptability of gluten‐free cookies containing xanthan gum as a binding agent was investigated and optimized.
Akash Kumar, Shashi Shekhar Mishra, Rekha Kaushik, Rahul Mehra, Shiv Kumar   +4 more
wiley   +1 more source

Research on Structural Optimization of High-Sensitivity Torque Sensors for Robotic Joints. [PDF]

Sensors (Basel)
Chen Y, Yu S, Xu J.
europepmc   +1 more source

Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums

Journal of Futures Markets, EarlyView.
ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
wiley   +1 more source

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

International Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago, Efthymios Ladoukakis, Dorota Scibior‐Bentkowska, Belinda Nedjai   +3 more
wiley   +1 more source

Enhancing image based classification for crop disease detection using a multiclass SVM approach with kernel comparison. [PDF]

Sci Rep
Sridhar P, Angamuthu P.
europepmc   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

International Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang, Linzhi Tan, Haozhe Su, Jeremy Eng‐Tuck Cheah   +3 more
wiley   +1 more source

Fuzzy logic based nonlinear blending hybrid control of a kestrel-inspired ornithopter operating in sinusoidal and dryden gusts. [PDF]

Sci Rep
Abbasi SH, Saudagar AKJ, Nouman A, Hennache ML.   +3 more
europepmc   +1 more source