Results 211 to 220 of about 410,957 (367)
Dynamic Response of Heart Rate Variability to Active Standing in Aortic Valve Disease: Insights from Recurrence Quantification Analysis. [PDF]
Cruz-Vega IB+5 more
europepmc +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Determinism, risk and safe driving behavior in northern Alberta, Canada [PDF]
J. Peter Rothe, Laureen Elgert
openalex +1 more source
Stoicism, mindfulness, and the brain: the empirical foundations of second-order desires. [PDF]
Wittmann M, Montemayor C, Dorato M.
europepmc +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source
Influence of the Cooling Method on Cutting Force and Recurrence Analysis in Polymer Composite Milling. [PDF]
Ciecieląg K.
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker+2 more
wiley +1 more source
BIOLOGIA ALÉM DO DETERMINISMO. ROSE, Steven. Lifelines. Biology beyond determinism.
Guillermo Foladori
openalex +2 more sources
Improved Reconstruction of Chaotic Signals from Ordinal Networks. [PDF]
Politi A, Ricci L.
europepmc +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai+3 more
wiley +1 more source