Results 201 to 210 of about 287,004 (330)

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse. [PDF]

BMC Med Inform Decis Mak
Baum L, Müller A, Johns M, Abu Attieh H, Halilovic M, Milicevic V, Neves DT, Otte K, Pasquier A, Wirth FN, Segelitz P, Schönrath K, Weber JE, Prasser F.   +13 more
europepmc   +1 more source

CRITTERBASE, a science-driven data warehouse for marine biota. [PDF]

Sci Data, 2022
Teschke K, Kraan C, Kloss P, Andresen H, Beermann J, Fiorentino D, Gusky M, Hansen MLS, Konijnenberg R, Koppe R, Pehlke H, Piepenburg D, Sabbagh T, Wrede A, Brey T, Dannheim J.   +15 more
europepmc   +1 more source

Perancangan Data Warehouse Nilai Mahasiswa Dengan Kimball Nine-Step Methodology

, 2017
Ganda Wijaya
openalex   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Prolactin Level Changes according to Atypical Antipsychotics Use: A Study Based on Clinical Data Warehouse. [PDF]

Clin Psychopharmacol Neurosci, 2023
Kim S, Jeong JH, Um YH, Kim TW, Seo HJ, Hong SC.   +5 more
europepmc   +1 more source

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

Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data. [PDF]

BMC Med Inform Decis Mak
Cheng-Zarate D, Burns J, Ngo C, Haryanto A, Duncan G, Taniar D, Wybrow M.   +6 more
europepmc   +1 more source

Design and Development of Data Warehouse Framework of Highland Vegetable Crops for Benguet

, 2020
Anna Rhodora M. Quitaleg, Miguel Ortiz
openalex   +1 more source

Discovery of Novel Materials with Giant Dielectric Constants via First‐Principles Phonon Calculations and Machine Learning

Advanced Intelligent Discovery, EarlyView.
We discovered novel materials with giant dielectric constants by combining first‐principles phonon calculations and machine learning. Screening 525 perovskites identified six candidates. RbNbO3 was synthesized under pressure and showed ε ≈ 800–1000. This validates our framework as a powerful tool for high‐performance dielectric materials discovery.
Hiroki Moriwake, Kazuki Shitara, Rie Yokoi, Takeharu Kato, Isao Tanaka, Ayako Yamamoto, Kimitoshi Murase, Yosuke Hamasaiki, Yoshitaka Ehara, Mitsuru Itoh   +9 more
wiley   +1 more source