Results 91 to 100 of about 98,895 (273)
Physical layout optimization in integrated circuit (IC) design remains a critical challenge as semiconductor technology scales toward advanced nodes, where traditional electronic design automation (EDA) tools struggle to simultaneously optimize multiple ...
Haijian Zhang +3 more
doaj +1 more source
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning
Hierarchical Reinforcement Learning Workshop at the 31st Conference on Neural Information Processing ...
Kumar, Saurabh +3 more
openaire +2 more sources
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
Wake Homing Torpedo Guidance Using a Hierarchical Deep Reinforcement Learning Framework
This paper proposes a novel Hierarchical Deep Reinforcement Learning (HRL) framework for wake homing torpedo guidance, applying the Discrete Event System Specification (DEVS) formalism to design high-level policies and reward shaping functions.
Kunchul Hwang, Jinwhan Kim
doaj +1 more source
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
The energy management strategy (EMS) is a core technology for improving the fuel economy of hybrid electric vehicles (HEVs). However, the coexistence of both discrete and continuous control variables, along with complex physical constraints in HEV ...
Cong Lan +5 more
doaj +1 more source
NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease
NDST3‐mediated epigenetic reprogramming revitalizes neuronal circuits in the substantia nigra and striatum to halt dopaminergic neuron degeneration and restore motor function in Parkinson's disease models. This strategy promotes neuronal maintenance and functional recovery, highlighting NDST3's therapeutic potential in neurodegenerative disorders ...
Yujung Chang +18 more
wiley +1 more source
A Multi-Scale Airspace Sectorization Framework Based on QTM and HDQN
Airspace sectorization is an effective approach to balance increasing air traffic demand and limited airspace resources. It directly impacts the efficiency and safety of airspace operations.
Qingping Liu +4 more
doaj +1 more source
This study reveals that Urolithin A (UA) counteracts alcohol‐induced cognitive and social dysfunction (AICSD) via a gut microbiome‐dependent mechanism. UA‐enriched Bacteroids sartorii and Parabacteroids distasonis elevate anandamide (AEA), which activates the CB1R‐DRD2‐Rap1 signaling cascade to drive synaptic repair and reduce neuroinflammation ...
Hongbo Zhang +9 more
wiley +1 more source
A hierarchical deep reinforcement learning framework for intelligent automatic treatment planning of prostate cancer intensity modulated radiation therapy. [PDF]
Shen C, Chen L, Jia X.
europepmc +1 more source

