Results 241 to 250 of about 523,565 (314)

Impact of Trade Protectionism on Economic Growth Based on Bayesian Networks and Fuzzy Logic

Yan Li
openalex   +2 more sources

Maneuverable Multilegged Locomotion through Anisotropically Arranged Soft Backbones in a Single‐Actuator Modular Miniature Robot

Advanced Intelligent Systems, EarlyView.
A modular eight‐legged robot exploits anisotropically oriented soft I‐beam backbones to transmit vibration from a single unbalanced‐mass actuator, producing frequency‐dependent multimodal gaits. A pseudo‐rigid‐body model enables high‐fidelity MuJoCo simulation, while Bayesian parameter identification and reinforcement learning yield robust control ...
Yiğit Yaman, Burak Arslan, Ömer Çağrı Ergin, Daniel M. Aukes, Onur Özcan   +4 more
wiley   +1 more source

Obesity-attributable risk of cardiovascular disease (CVD) in the United States: a Bayesian network analysis. [PDF]

Am J Prev Cardiol
Sheth S, Clark S, Fabricatore A, Faurby M, Houshmand-Oeregaard A, Toliver J, Stevens W.   +6 more
europepmc   +1 more source

Using data-driven Bayesian networks to analyze maritime accidents in congested waters

Takuya SAMESHIMA
openalex   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Electrocatalytic C─N Coupling in Aqueous Solutions for High‐Value Product Synthesis

Angewandte Chemie, EarlyView.
Electrocatalytic C–N coupling offers a sustainable route to synthesize crucial organic nitrogen compounds from abundant feedstocks under mild conditions. This review examines recent progress in overcoming key challenges, like slow kinetics and competing reactions through advanced catalysts and novel mechanisms, paving the way for transforming chemical ...
Yunpeng Zuo, Dongxue Yu, Xiaoran Zhang, Xin Wang   +3 more
wiley   +2 more sources

Bayesian Network Meta-Analysis With One or Two Continuous Outcomes Measured at Multiple Time Points Using Gaussian Random Walks With Drift. [PDF]

Stat Med
Cheng PS, da Costa BR, Tomlinson G.
europepmc   +1 more source

ReBaStaBa: handling Bayesian networks with R

, 2009
Jean‐Baptiste Denis, Marie Laure Delignette‐Muller, Régis Pouillot   +2 more
openalex   +1 more source

Adaptive Beamforming Optimization for Millimeter-Wave IRS-Enabled IoT Sensor Networks using Bayesian Deep Reinforcement Learning

Freederia AI Researcher
openalex   +1 more source

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

Annals of Neurology, EarlyView.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt, Dana Leichter, Yann Cobigo, Amy Wolf, John Kornak, Annie Clark, Lucy L. Russell, Arabella Bouzigues, David M. Cash, Martina Bocchetta, Molly Olzinski, Brian Appleby, Ece Bayram, Barbara Borroni, Andrea Bozoki, Chris R. Butler, David Clark, Rhian S. Convery, R. Ryan Darby, Alexandre de Mendonça, Bradford Dickerson, Kimiko Domoto‐Reilly, Simon Ducharme, Eve Ferry‐Bolder, Elizabeth Finger, Phoebe H. Foster, Douglas R. Galasko, Daniela Galimberti, Alexander Gerhard, Nupur Ghoshal, Caroline Graff, Neill Graff‐Radford, Ian M. Grant, Chadwick M. Hales, Lawrence S. Honig, Ging‐Yuek Hsiung, Edward D. Huey, David Irwin, Lize C. Jiskoot, Walter Kremers, Justin Y. Kwan, Robert Laforce, Isabelle Le Ber, Gabriel C. Léger, Johannes Levin, Irene Litvan, Ian R. Mackenzie, Mario Masellis, Mario F. Mendez, Fermin Moreno, Chiadi Onyike, Markus Otto, Belen Pascual, Peter Pressman, Rosa Rademakers, Eliana Marisa Ramos, Aaron Ritter, Erik D. Roberson, James B. Rowe, Raquel Sanchez‐Valle, Isabel Santana, Harro Seelaar, Allison Snyder, Sandro Sorbi, Matthis Synofzik, Maria Carmela Tartaglia, Pietro Tiraboschi, John C. van Swieten, Marijne Vandebergh, Rik Vandenberghe, Hilary W. Heuer, Bruce L. Miller, William W. Seeley, Maria Luisa Gorno‐Tempini, Joel H. Kramer, Leah Forsberg, Kejal Kantarci, Bradley F. Boeve, Adam L. Boxer, Jonathan D. Rohrer, Howard J. Rosen, Adam M. Staffaroni, FTD Prevention Initiative (FPI) investigators   +82 more
wiley   +1 more source