Results 191 to 200 of about 47,779 (256)

Continuous cropping drives assembly process of soil microbial community to alter keystone taxa causing challenges. [PDF]

BMC Microbiol
Zhou F, Pan Y, Zhan J, Li X, Yu S, Tang L.   +5 more
europepmc   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

Advanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin, Qian Li, Zhiwei Li, Xukai Zhai, Jinhui Gao   +4 more
wiley   +1 more source

Engineering the Image Representation for Deep Learning in Contrast-Enhanced Mammography: A Systematic Analysis of Preprocessing and Anatomical Masking. [PDF]

Bioengineering (Basel)
Fusco R, Granata V, Vallone P, Petrosino T, Iasevoli MD, Raso MM, Pupo D, Trovato P, Simonetti I, Pariante P, Cerciello V, Ferrara G, Longobucco M, Capuano G, Morcavallo R, Todisco C, Antenucci F, Sansone M, La Forgia D, Petrillo A.   +19 more
europepmc   +1 more source

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

Categorical framework for quantum-resistant zero-trust AI security. [PDF]

Sci Rep
Cherkaoui I, Clarke C, Horgan J, Dey I.
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Probabilistic functionality assessment of road networks for medical emergency vehicles during flooding. [PDF]

Nat Hazards (Dordr)
He K, Carhart N, Pregnolato M, Neal J, De Risi R.   +4 more
europepmc   +1 more source

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

Advanced Intelligent Systems, EarlyView.
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr, Alexander Haluszczynski, Christoph Räth   +2 more
wiley   +1 more source

Effects of Simulated Precipitation Treatment on Denitrifying Microbial Communities in the Wayan Mountains. [PDF]

Biology (Basel)
Zhou S, Chen K, Zhang N, Zhou Z, Wang S.
europepmc   +1 more source