Results 41 to 50 of about 2,084,487 (290)

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Structural reliability analysis based on a limited directional important sampling simulation

Nihon Kikai Gakkai ronbunshu, 2015
This study describes an efficient estimation method of the structural failure probability based on a limited directional importance sampling simulation.
Shoya OKUDA, Masaaki YONEZAWA
doaj   +1 more source

Learning from Conditional Probabilities

Cognition
Bayesianism, that is, the formal capturing of belief in terms of probabilities, has had a major impact in cognitive science. Decades of research have examined lay reasoners' learning and reasoning with probabilities. The bulk of that research has concerned the response to new evidence.
Corina Strößner, Ulrike Hahn
openaire   +2 more sources

In Situ Copper Electroplating Turns Material Extrusion 3D Printers Into Metal–Polymer Hybrid Fabricators

Advanced Materials Technologies, EarlyView.
An in situ electroplating approach for MEX 3D printing is proposed, enabling copper deposition during the fabrication of conductive polymers. The method combines a printer‐integrated plating head, ML‐based g‐code control, and stop‐and‐go printing, achieving near‐bulk copper conductivity and enabling fully embedded, assembly‐free electronic components ...
Gianluca Percoco, Nicola Larovere, Antonio Zagaria, Antonio Pavone, Rosanna Rifino, Gianni Stano   +5 more
wiley   +1 more source

Auxiliary codes for fault prognosis of Tennessee Eastman process using a hybrid model (CPL1.0)

SoftwareX, 2019
CPL1.0 is a Matlab code which can generate fault predictions of Tennessee Eastman (TE) process, based on the open-source toolbox developed by Kevin Murphy in 2005. It facilitates the calculation of Prior Probabilities (PP), Conditional Probabilities (CP),
Mihiran Galagedarage Don, Faisal Khan
doaj   +1 more source

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

Advanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao, Yinzhao Dong, Ji Ma, Peng Lu   +3 more
wiley   +1 more source

Structural prediction of RNA switches using conditional base-pair probabilities.

PLoS ONE, 2019
An RNA switch triggers biological functions by toggling between two conformations. RNA switches include bacterial riboswitches, where ligand binding can stabilize a bound structure.
Amirhossein Manzourolajdad, John L Spouge   +1 more
doaj   +1 more source

A Framework for Estimating Human-Wildlife Conflict Probabilities Conditional on Species Occupancy

Frontiers in Conservation Science, 2021
Managing human-wildlife conflicts (HWCs) is an important conservation objective for the many terrestrial landscapes dominated by humans. Forecasting where future conflicts are likely to occur and assessing risks to lives and livelihoods posed by wildlife
Rekha Warrier, Barry R. Noon, Larissa L. Bailey   +2 more
doaj   +1 more source

Constraint Propagation with Imprecise Conditional Probabilities [PDF]

Conference on Uncertainty in Artificial Intelligence, 1991
An approach to reasoning with default rules where the proportion of exceptions, or more generally the probability of encountering an exception, can be at least roughly assessed is presented.
S. Amarger, D. Dubois, H. Prade
semanticscholar   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

Advanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin   +3 more
wiley   +1 more source