Results 151 to 160 of about 1,794,042 (277)

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Long-Tea-CLIP: An Expert-Level Multimodal AI Framework for Fine-Grained Green Tea Grading Across Five Sensory Dimensions. [PDF]

Adv Sci (Weinh)
Xu Y, Xue Z, Luo Q, Liu X, Xu Y, Huang J, Zhang X, Zhang X, Liu Z, Luo Z.   +9 more
europepmc   +1 more source

Thermodynamics of Concomitant Charge‐Transfer, Antiferromagnetic, and Isostructural Phase Transitions in Barocaloric ACu3Fe4O12 Quadruple Perovskites

Advanced Science, EarlyView.
A copper‐iron charge transfer instability drives concomitant electronic, magnetic, and isostructural phase transitions in ACu3Fe4O12${\rm ACu}_3{\rm Fe}_4{\rm O}_{12}$, with an inverse barocaloric effect. A minimal Landau theory ties these thermodynamic signatures together, revealing a pressure‐independent transition entropy with comparable charge and ...
Jefferson Delgado‐Quesada, Gian Giacomo Guzmán‐Verri   +1 more
wiley   +1 more source

High-throughput phenotypic analysis of plant and curd growth dynamics during the whole growth period of cauliflower based on instance segmentation. [PDF]

Front Plant Sci
Cheng S, Wu S, Shao Q, Chen M, Liu J, Qiu B, Zhu H.   +6 more
europepmc   +1 more source

Wavy‐Interlocked Stretchable Triboelectric Nanogenerators Enhanced by Liquid Metal Microflowers for Self‐Powered Wearable Motion Monitoring

Advanced Science, EarlyView.
Schematic showing a stretchable triboelectric nanogenerator based on interlocked wavy architectures that uses EGaIn microflower‐embedded PVDF‐TrFE and Nylon‐6 nanofiber membranes. The multi‐petaled, electron‐rich EGaIn microflowers enhance interfacial polarization and capacitance, while the interlocked wavy architecture enlarges the effective contact ...
Qianqian Xu, Huimin Li, Hanmin Zeng, Yahui Meng, Yimeng He, Xinke Hu, Senfeng Zhao, Jianxun Zhang, Peiqiong Zhou, Kechao Zhou, Dou Zhang, Chris Bowen, Yan Zhang   +12 more
wiley   +1 more source

Fusing appearance and vein morphology using dual-branch deep networks for accurate medicinal plant identification. [PDF]

Front Artif Intell
Karthik CR, Adithya PM, Nidadavolu N, Balasundaram A, Shaik A.   +4 more
europepmc   +1 more source

Auto‐Downregulation of the Florigen FT Production Prevents Precocious Flowering in Plants

Advanced Science, EarlyView.
This study shows that the leaf vein‐expressed FD complexes with the florigen FT to bind DNA motifs in FT promoter, which antagonizes CONSTANS‐mediated FT activation to feedback down‐regulate FT expression. This prevents an excessive induction of FT expression by inductive photoperiods, thereby precluding precocious transition to flowering in ...
Shu Tian, Xiao Luo, Bowen Cui, Yuehui He
wiley   +1 more source

Ultra-widefield optical coherence tomography demonstrates subtle vitreoretinal interface changes driving conversion of retinoschisis to retinal detachment. [PDF]

Am J Ophthalmol Case Rep
Quarta A, Abbasgholizadeh R, Bagheri S, Sadda SR, Ip MS.   +4 more
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source