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
Mapping connections between complex post-traumatic stress disorder and psychotic-like experiences among adolescents: a Gaussian and Bayesian network study. [PDF]
Jannini TB+9 more
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
The relationship between resilience and mental health: mobile phone dependence and its differences across levels of parent-child conflict among left-behind adolescents: a cross-sectional network analysis. [PDF]
Yuan X+10 more
europepmc +1 more source
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen+4 more
wiley +1 more source
Perturbing Pentalene: Aromaticity and Antiaromaticity in a Non-Alternant Polycyclic Aromatic Hydrocarbon and BN-Heteroanalogues. [PDF]
Anstöter CS, Fowler PW.
europepmc +1 more source
This article presents a developed methodology to achieve robust tactile perception with spatially designed electronic skin (e‐skin) utilizing laser‐induced graphene (LIG). To enhance LIG‐based e‐skin, the fabrication of the e‐skin is simplified and advanced decoding algorithms are employed, effectively circumventing several intrinsic issues of ...
Gyeonghwa Heo+4 more
wiley +1 more source
Network analysis of anxiety and depressive symptoms among patients with cardiovascular disease. [PDF]
Zhao Q, Zhang Y, Ji L, Pan Z.
europepmc +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Hierarchical Superposition Framework Reveals the Complex Effects of Natural Medicine Formulas
A novel hierarchical superposition pharmacological model incorporates the principle of hierarchical structures from physics to simulate the spatiotemporal dynamics of drug combinations, to elucidate the universal law underlying drug combination effects. By modeling cross‐level causal transmission and attenuation, it advances beyond traditional additive
Weifeng Liang+3 more
wiley +1 more source