Results 41 to 50 of about 34,807 (256)

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

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

Specific Features of Operation of Distributed Generation Facilities Based on Gas Reciprocating Units in Internal Power Systems of Industrial Entities

Machines, 2022
The creation of a decentralized low-carbon energy infrastructure is the main trend in the development of the electric power industry in many countries.
Pavel Ilyushin, Sergey Filippov, Aleksandr Kulikov, Konstantin Suslov, Dmitriy Karamov   +4 more
doaj   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Territory size and habitat selection of breeding Common Cranes (Grus grus) in a boreal landscape

Ornis Fennica, 2013
Information on how birds use different types of habitat and move within landscapes is crucial for avian ecology, conservation andmanagement. The Common Crane Grus grus has the widest distribution of all crane species and covers both increasing and ...
J. Månsson, L. Nilsson, M. Hake
semanticscholar   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Complete mitochondrial genome of a Siberian Crane (Grus leucogeranus)

Mitochondrial DNA. Part B. Resources, 2018
The complete mitochondrial genome (mtDNA) of hemocyte from Siberian Crane (Grus leucogeranus) was sequenced using high-throughput genetic sequencing, and mitochondrial genome was assembled using MITObim tools according complete mitochondrial genome of ...
Tong Wang, Hongcheng Wang, Zhongbao Zhao, Zongtao Wang, Liqiang Mu, Hongxian Yu   +5 more
doaj   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

日本鹤类的研究与保护

野生动物学报, 1982
日本位于亚洲大陆的东侧,是一个南北延长的群岛国家,四个大岛自北而南是北海道、本州、四国和九州,总面积为三十七万平方公里,其中,森林面积占全国总面积的68％（约为252,000平方公里）,水田占9％,旱田占6％,荒地占3％,内陆水域占3％,其它城镇等用地为11％。现在,日本见有七种鹤: 1.丹顶鹤Grus japonensis 居留鸟 2.白头鹤Grus monacha 冬候鸟 3.白枕鹤Grus vipio ″ 4.灰鹤Grus grus ″ 5,白鹤Gras leucogeranus ″ 6 ...
马逸清
doaj