Results 191 to 200 of about 837,134 (277)

Editorial: Artificial intelligence-assisted design of sustainable processes

Frontiers in Chemical Engineering
Thibaut Neveux, Jean-Marc Commenge, Florence Vermeire   +2 more
doaj   +1 more source

Hybrid modeling approach for precise estimation of energy production and consumption based on temperature variations. [PDF]

Sci Rep
Mbasso WF, Molu RJJ, Harrison A, Pushkarna M, Kemdoum FN, Donfack EF, Jangir P, Tiako P, Tuka MB.   +8 more
europepmc   +1 more source

A hybrid modeling approach for assessing mechanistic models of small molecule partitioning in vivo using a machine learning-integrated modeling platform. [PDF]

Sci Rep, 2021
Antontsev V, Jagarapu A, Bundey Y, Hou H, Khotimchenko M, Walsh J, Varshney J.   +6 more
europepmc   +1 more source

Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction

Advanced Functional Materials, EarlyView.
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi, Shashi B. Mishra, Olivier Henrotte, Emiliano Cortes   +3 more
wiley   +1 more source

Smartphone-Based SPAD Value Estimation for Jujube Leaves Using Machine Learning: A Study on RGB Feature Extraction and Hybrid Modeling. [PDF]

Sensors (Basel)
Wang Q, Shi Z, Hou K, Yan N, Wu C, Li X.
europepmc   +1 more source

A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism. [PDF]

PLoS Comput Biol, 2021
Österberg L, Domenzain I, Münch J, Nielsen J, Hohmann S, Cvijovic M.   +5 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Household electricity consumption prediction using database combinations, ensemble and hybrid modeling techniques. [PDF]

Sci Rep
Ramnath GS, Harikrishnan R, Muyeen SM, Kotecha K.   +3 more
europepmc   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks. [PDF]

Sci Rep
Pandit P, Sagar A, Ghose B, Paul M, Kisi O, Vishwakarma DK, Mansour L, Yadav KK.   +7 more
europepmc   +1 more source