Results 131 to 140 of about 182,632 (325)
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT This review article critically examines the environmental and health hazards of tannery sludge (TS), a complex by‐product of the leather tanning industry. TS is characterized by a diverse array of contaminants, including heavy metals like chromium, organic pollutants such as polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds ...
Yashar Aryanfar +10 more
wiley +1 more source
Carbon Energy, EarlyView.Systematic alloying of Ni with Cu, Fe, and Co in Ni/YSZ electrodes modifies active site density up to 43%, decreases activation energies by up to 44%, and reduces carbon deposition fourfold. Cu–Ni alloy is among the most promising alloy catalysts for electrochemical CO2 reduction in SOECs.
Min Jun Oh +9 more
wiley +1 more source
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
Chemistry – A European Journal, EarlyView.Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain +3 more
wiley +1 more source
Agricultural productivity growth in the European Union and transition countries [PDF]
Malmquist total factor productivity (TFP) index has been extensively applied in the literature to measure productivity growth decomposition. This study applies a parametric decomposition of a Generalized Malmquist TFP index to measure and compare the ...
Lissitsa, Alexej +1 more
core
The Canadian Journal of Chemical Engineering, EarlyView.Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Advanced Modeling and Simulation in Engineering SciencesThe simulation of viscoelastic time-evolution problems described by a large number of internal variables and with a large spectrum of relaxation times requires high computational resources for their resolution.
Sebastian Rodriguez +7 more
doaj +1 more source
Asymptotic properties of cross‐classified sampling designs
Canadian Journal of Statistics, EarlyView.Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source