Results 181 to 190 of about 11,335,082 (272)

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Using natural language processing to extract information from clinical text in electronic medical records for populating clinical registries: a systematic review. [PDF]

J Am Med Inform Assoc
Liu L, Blake V, Barman M, Gallego B, Churches T, Kennedy G, Ooi SY, Delaney GP, Jorm L.   +8 more
europepmc   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

GWKNN: an enhanced k-nearest neighbor algorithm with G metric reconstruction and Grey Wolf Optimizer. [PDF]

Sci Rep
Guo Z, Liu G, Liu W, Ni Z, Jiang F.
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Predicting facility delivery and its determinants among reproductive-age women in Ethiopia using machine learning algorithm: evidence from performance monitoring for action Ethiopia 2019 dataset. [PDF]

BMC Pregnancy Childbirth
Degefa SM, Hailu BA, Serbessa NG, Tsehay AK, Sedi TT, Woldekidan EK, Ahmed MH, Adem JB, Wale AD, Guadie HA, Asemahagn MA.   +10 more
europepmc   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Predictive voting model for early diagnosis of diabetes dataset. [PDF]

Front Cardiovasc Med
Al-Bimani T, AlShaqsi J, Alkhawaldeh R, Al Busaidi AS, Tarhini A.   +4 more
europepmc   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Unveiling Epidemiologic Insights: A Case-Control Study of Congenital Cleft Lip and/or Palate Using Association Rule Mining. [PDF]

Biomed Res Int
Delshad S, Mousavi SML, Alidadi M, Sabahi A, Hajavi A, Ayyoubzadeh SM, Rezayi S, Shahmoradi L.   +7 more
europepmc   +1 more source