Results 101 to 110 of about 2,130 (190)

Analysis of vertical AND flash memory for energy-efficient, scalable, fast CIM beyond vertical NAND flash memory. [PDF]

Nano Converg
Ko J, Im J, Park SH, Gu J, Cho J, Hwang J, Koo RH, Kim J, Woo SY, Lee JH.   +9 more
europepmc   +1 more source

Benchmarking the performance of uncertainty quantification methods for neural network-based interatomic potentials. [PDF]

J Cheminform
Wimer NT, Mueller J, Hamel S, Lordi V.
europepmc   +1 more source

Constraint aware and uncertainty informed QSAR modeling of Tetrahymena pyriformis toxicity using physicochemical descriptors. [PDF]

Sci Rep
Khafagy ES, Lila ASA, Al Saqr A, Pishnamazi M.   +3 more
europepmc   +1 more source

Hybrid deep learning and RSM modeling of diesel engine performance using TiO₂ doped butanol and waste plastic oil blends. [PDF]

Sci Rep
Sunil Kumar K, Ali ABM, Razak A, Anqi AE, Rajhi AA, Emma AF, Khan MA.   +6 more
europepmc   +1 more source

High Precision Speech Keyword Spotting Based on Binary Deep Neural Network in FPGA. [PDF]

Entropy (Basel)
Zhang A, Shi J, Qian H, Wang J.
europepmc   +1 more source

Early-Onset Sepsis in Preterm Neonates of 22-28 Weeks' Gestation: An International Cohort Study. [PDF]

J Pediatr Clin Pract
Duggan HL, Shah PS, Battin M, Klinger G, Adams M, Vento M, Lastrucci V, Suppo Sousa Rugolo LM, Regina M, Håkansson S, Isayama T, Norman M, Kusuda S, Reichman B, Lehtonen L, Helenius K, Kei KL, Tan K, iNeo Investigators.   +18 more
europepmc   +1 more source

Fingerprint-Based Machine Learning for SARS-CoV-2 and MERS-CoV <i>M</i>^<i>pro</i> Inhibition: Highlighting the Potential of Bayesian Neural Networks. [PDF]

J Chem Inf Model
Doering NP, Talagayev V, Liu S, Wolber G.   +3 more
europepmc   +1 more source

Physics-guided estimation of freight vehicle loading status using digital tachograph data. [PDF]

Sci Rep
Tak J, Hong J, Park D.
europepmc   +1 more source

A big data approach to artificial intelligence driven predictive modelling for optimizing material properties in additive manufacturing. [PDF]

Sci Rep
Li W, Cai Z, Bao K, Wang L, Ma J, Wang L, Gao F, Yang D, Zhang R.   +8 more
europepmc   +1 more source

Machine Learning-Based probabilistic prediction of glacial lake formation using erosional and topographic features. [PDF]

Sci Rep
Vashistha A, Dashora A, Shah AA.
europepmc   +1 more source