Results 161 to 170 of about 2,659,274 (336)
Generative Deep Learning for Advanced Battery Materials
Batteries &Supercaps, EarlyView.This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal +3 more
wiley +1 more source
British Journal of Clinical Pharmacology, EarlyView.Aim Cannabis‐based medicines are gaining interest and being explored for new therapeutic indications, many of which commonly affect older medical patients. As most previous studies of the population pharmacokinetics of cannabinoids have been performed in healthy adults, this study aimed to investigate the population pharmacokinetics of Δ9 ...
Ida Klitzing Storgaard +12 more
wiley +1 more source
Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials
BMEMat, EarlyView.Smart biomaterials are rapidly emerging as tools for tissue engineering, and artificial intelligence has played essential roles in biomaterial studies. By bridging the literature gap in AI‐based design, synthesis and analysis of smart biomaterials, the current review shares perspectives on how biomaterial scientists can practically incorporate AI for ...
Pengfei Jiang +9 more
wiley +1 more source
BIM‐driven productivity and risk management of workspaces for manual and robotic installations
Civil Engineering Design, EarlyView.Abstract In the face of increasing construction project complexity and the widespread adoption of Building Information Modeling (BIM), the efficient planning and execution of workspaces have become critical for enhancing productivity, safety, and overall project success.
Aileen Pfeil +3 more
wiley +1 more source
Canadian Journal of Statistics, EarlyView.Abstract Modern longitudinal data from wearable devices consist of biological signals at high‐frequency time points. Distributed statistical methods have emerged as a powerful tool to overcome the computational burden of estimation and inference with large data, but methodology for distributed functional regression remains limited.
Cole Manschot, Emily C. Hector
wiley +1 more source
A class of directed acyclic graphs with mixed data types in mediation analysis
Canadian Journal of Statistics, EarlyView.Abstract We propose a unified class of generalized structural equation models (GSEMs) with data of mixed types in mediation analysis, including continuous, categorical, and count variables. Such models extend substantially the classical linear structural equation model to accommodate many data types arising from the application of mediation analysis ...
Wei Hao, Canyi Chen, Peter X.‐K. Song
wiley +1 more source
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Canadian Journal of Statistics, EarlyView.Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley +1 more source
InsightQL: Advancing Human-Assisted Fuzzing with a Unified Code Database and Parameterized Query Interface [PDF]
Wentao Gao +4 more
openalex +1 more source
An observation‐driven state‐space model for claims size modelling
Canadian Journal of Statistics, EarlyView.Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn +2 more
wiley +1 more source