Results 151 to 160 of about 47,779 (256)

Multi-objective economic energy management strategy in thermal and electrical grids with energy hubs including renewable units and storage systems. [PDF]

Sci Rep
Mesloub A, Faridi W, Ghodratallah P, Rajab H, Singh NSS, Sadeq AM, Aich W, Shalaby M.   +7 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Variations in deep-sea microbial composition and assembly mechanisms under different culture strategies. [PDF]

Front Microbiol
Yu L, Sun J, Wang Y, Tang X, Tan H, Zhou H, Cheng H, Chen Z.   +7 more
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Terracing influences soil microbial assembly in citrus orchards: stochastic processes dominate community dynamics in a karst sloping land. [PDF]

BMC Microbiol
Zhang J, Dai Y, Mustafa A, Li L, Li Y, Sun T, Chen M, Yang H, Ma J.   +8 more
europepmc   +1 more source

Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. [PDF]

PLoS Comput Biol, 2015
Hartmann C, Lazar A, Nessler B, Triesch J.   +3 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Extreme Salinity Change Governs Microbial Community Assembly and Interactions. [PDF]

Environ Microbiol Rep
Keneally C, Gaget V, Chilton D, Dornan TN, Hensel J, Keneally AE, Kidd SP, Brookes JD.   +7 more
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Habitat heterogeneity drives microbial community assembly and functional specialization in extremely arid ecosystems. [PDF]

Appl Environ Microbiol
Huang J, Cai M, Han M, Fang B, Dong L, Zhang G, Han J-R, Li S, Rustamova N, Liu Y, Li W-J, Jiang H.   +11 more
europepmc   +1 more source