Challenges and opportunities in bioimage analysis
Advanced imaging techniques provide holistic observations of complicated biological
phenomena across multiple scales while posing great challenges to data analysis. We …
phenomena across multiple scales while posing great challenges to data analysis. We …
Spatial planning of urban communities via deep reinforcement learning
Effective spatial planning of urban communities plays a critical role in the sustainable
development of cities. Despite the convenience brought by geographic information systems …
development of cities. Despite the convenience brought by geographic information systems …
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review
Reinforcement learning (RL) has emerged as a dynamic and transformative paradigm in
artificial intelligence, offering the promise of intelligent decision-making in complex and …
artificial intelligence, offering the promise of intelligent decision-making in complex and …
Optimization of high-speed fixed-wing UAV penetration strategy based on deep reinforcement learning
X Zhuang, D Li, Y Wang, X Liu, H Li - Aerospace Science and Technology, 2024 - Elsevier
The penetration decision of unmanned aerial vehicles (UAVs) is one of the key components
for UAVs to detect or strike crucial targets in adversarial environments. Presently, most …
for UAVs to detect or strike crucial targets in adversarial environments. Presently, most …
A hierarchical deep reinforcement learning model with expert prior knowledge for intelligent penetration testing
Q Li, M Zhang, Y Shen, R Wang, M Hu, Y Li, H Hao - Computers & Security, 2023 - Elsevier
Penetration testing (PT) is an effective method to assess the security of a network, mainly
carried out by experienced human experts, and is widely applied in practice. It is urgent to …
carried out by experienced human experts, and is widely applied in practice. It is urgent to …
Co-evolutionary digital twins: A multidimensional dynamic approach to digital engineering
Digital Engineering (DE) must be able to maximize efficiency and update dynamically in
order to keep up with the wave of global interconnection. The evolution of the Digital Twin …
order to keep up with the wave of global interconnection. The evolution of the Digital Twin …
Comparison between phase-field model and coarse-grained model for characterizing cell-resolved morphological and mechanical properties in a multicellular system
Embryonic development is a precise and complex process involving the cell morphology
and mechanics interacting in space and time. The difficulty in quantitatively acquiring …
and mechanics interacting in space and time. The difficulty in quantitatively acquiring …
Intelligent Decision‐Making System of Air Defense Resource Allocation via Hierarchical Reinforcement Learning
M Zhao, G Wang, Q Fu, W Quan, Q Wen… - … Journal of Intelligent …, 2024 - Wiley Online Library
Intelligent decision‐making in air defense operations has attracted wide attention from
researchers. Facing complex battlefield environments, existing decision‐making algorithms …
researchers. Facing complex battlefield environments, existing decision‐making algorithms …
Targets capture by distributed active swarms via bio-inspired reinforcement learning
Natural swarms arranged from cells to herds are usually decentralized but display intriguing
collective intelligence in coordinating individuals across large scales to efficiently achieve …
collective intelligence in coordinating individuals across large scales to efficiently achieve …
[HTML][HTML] Delineating the mechanisms and design principles of Caenorhabditis elegans embryogenesis using in toto high-resolution imaging data and computational …
The nematode (roundworm) Caenorhabditis elegans is one of the most popular animal
models for the study of developmental biology, as its invariant development and transparent …
models for the study of developmental biology, as its invariant development and transparent …