Results 121 to 130 of about 1,535,797 (279)
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how Business Model Innovation (BMI) unfolds in sustainability‐oriented industries, where institutional complexity, technological interdependence, and environmental imperatives generate persistent sustainability‐related paradoxical tensions.
Pietro Rombolà +2 more
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Solving the traveling salesman problem by statistical testing using complex Markov chains
Учёные записки Казанского университета: Серия Физико-математические наукиA method was proposed for solving the traveling salesman problem (TSP) using N -complex Markov chains (N -MC), the state sequence of which simulates a path through N points, each visited only once.
S. V. Shalagin
doaj +1 more source
A memory-efficient deterministic finite automaton-based bit-split string matching scheme using pattern uniqueness in deep packet inspection. [PDF]
PLoS One, 2015 Kim H, Choi KI, Choi SI.
europepmc +1 more source
Decision procedures for families of deterministic pushdown automata [PDF]
The existence and complexity of decision procedures for families of deterministic pushdown automata are investigated, with special emphasis on positive decidability results for those questions, such as equivalence, which are known to become ...
Valiant, Leslie
core
Seismic analysis and design of tunnels within fault ground: A review
Deep Underground Science and Engineering, EarlyView.The research methods of seismic response of tunnels within fault ground, including field investigations, analytical solutions, physical experiments, and numerical simulations, and seismic countermeasures are discussed. The present study examines the shortcomings and limitations of the current research and design, and puts forward proposals for future ...
Xingda Wang +6 more
wiley +1 more source
, 2010 . In this paper, we propose a regular expression matching circuit based on a decomposed automaton. To implement a regular expression matching circuit, first, we convert regular expressions into a non-deterministic finite automaton (NFA).
Hiroki Nakahara +2 more
core
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Seismic fragility assessment of reinforced concrete (RC) bridges exposed to corrosive environments must reliably capture time‐dependent deterioration impacts. Climate change compounds this challenge through nonstationary temperature and humidity variations that accelerate bridge corrosion.
Yexiang Yan, Yazhou Xie
wiley +1 more source