Results 71 to 80 of about 6,207,310 (278)

Metro Track Geometry Defect Identification Model Based on Car-Body Vibration Data and Differentiable Architecture Search

Applied Sciences, 2023
Efficient and low-cost modes for detecting metro track geometry defects (TGDs) are essential for condition-prediction-based preventive maintenance, which can help improve the safety of metro operations and reduce the maintenance cost of metro tracks ...
Zhipeng Wang, Rengkui Liu, Yi Gao, Yuanjie Tang   +3 more
doaj   +1 more source

Data-Driven and Physics-Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence. [PDF]

Adv Sci (Weinh)
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Hui W, Wang Y, Zhang T, Chen Y, Pan M.
europepmc   +2 more sources

Human iPSC‐Derived Tissue‐Engineered Nigrostriatal Pathway for Chronic Restoration of Dopaminergic Axon Tracts in a Rat Parkinson's Model

Advanced Healthcare Materials, EarlyView.
Inspired by conventional cell therapy and emerging bioengineering approaches, the tissue‐engineered nigrostriatal pathway (TE‐NSP) has an anatomically‐inspired design comprising a population of human dopaminergic neurons with unidirectional, long‐projecting axon tracts.
Wisberty J. Gordián‐Vélez, Dimple Chouhan, Kevin D. Browne, James Lim, Saarang P. Karandikar, Rodrigo A. España, John E. Duda, H. Isaac Chen, D. Kacy Cullen   +8 more
wiley   +1 more source

Bone Organoids Across the Development‐to‐Remodeling Continuum: From Tissue Formation to Functional Competence and Translation

Advanced Healthcare Materials, EarlyView.
Mineralization alone does not establish a mature bone organoid. This Review integrates biological foundations, materials design, adaptive remodeling, and translational validation through the development‐to‐remodeling continuum (DRC). By separating biological functions from the evidence supporting them, the framework exposes critical gaps in current ...
Xijie Tang, Haijia Xu, Xiangzhong Liu, Yi Yang, Zhanghua Li   +4 more
wiley   +1 more source

Noise-Disruption-Inspired Neural Architecture Search with Spatial–Spectral Attention for Hyperspectral Image Classification

Remote Sensing
In view of the complexity and diversity of hyperspectral images (HSIs), the classification task has been a major challenge in the field of remote sensing image processing.
Aili Wang, Kang Zhang, Haibin Wu, Shiyu Dai, Yuji Iwahori, Xiaoyu Yu   +5 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Remote Sensing Image Classification Based on Neural Networks Designed Using an Efficient Neural Architecture Search Methodology

Mathematics
Successful applications of machine learning for the analysis of remote sensing images remain limited by the difficulty of designing neural networks manually.
Lan Song, Lixin Ding, Mengjia Yin, Wei Ding, Zhigao Zeng, Chunxia Xiao   +5 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Making Differentiable Architecture Search less local [PDF]

, 2021
Neural architecture search (NAS) is a recent methodology for automating the design of neural network architectures. Differentiable neural architecture search (DARTS) is a promising NAS approach that dramatically increases search efficiency.
Tomasi, Federico, Dai, Zhenwen, Bodin, Erik   +2 more
core   +2 more sources

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source