Results 71 to 80 of about 523,565 (314)

Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley   +1 more source

Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization

IEEE Access
Assessing the failure of urban gas pipelines is crucial for identifying risk factors and preventing gas accidents that result in economic losses and casualties.
Shuangqing Chen, Shun Zhou, Zhe Xu, Yongbin Liu, Bing Guan, Xiaoyu Jiang, Wencheng Li   +6 more
doaj   +1 more source

Multimodal Actuation and Environment Adaptive Strategies of Bio‐Inspired Micro/Nanorobots in Precision Medicine

Advanced Robotics Research, EarlyView.
An introduction for multidrive and environment‐adaptive micro/nanorobotics: design and fabrication strategies, intelligent actuation, and their applications. Various intelligent actuation approaches—magnetic, acoustic, optical, chemical, and biological—can be synergistically designed to enhance flexibility and adaptive behavior for precision medicine ...
Aiqing Ma, Han Gong, Jiacheng Ouyang, Liqi Chen, Tianfang Kang, Yiran He, Guojun Huang, Sidi Zheng, Ting Yin, Hong Pan, Lintao Cai   +10 more
wiley   +1 more source

MODELS AND METHODS FOR IMPLEMENTING PEDAGOGICAL INTERVENTIONS IN MODEL-TRACING COGNITIVE TUTORS

Радіоелектронні і комп'ютерні системи, 2017
This paper presents some models and methods for generating pedagogical interventions in model-tracing cognitive tutors. They use Bayesian networks for assessment and making decisions, this feature allows managing uncertainty reasoning based on a formal ...
Juan Pablo Martinez Bastida, Андрей Григорьевич Чухрай, Елена Владимировна Гавриленко   +2 more
doaj   +1 more source

FROM CHRONOLOGICAL NETWORKS TO BAYESIAN MODELS: CHRONOLOG AS A FRONT-END TO OXCAL [PDF]

, 2022
Eythan Levy, Eli Piasetzky, Alexander Fantalkin, Israel Finkelstein   +3 more
openalex   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Knowing what you know in brain segmentation using Bayesian deep neural networks

, 2019
In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours.
Bandettini, Peter, Ghosh, Satrajit S., Kaczmarzyk, Jakub R., Lee, John A., McClure, Patrick, Nielson, Dylan, Pereira, Francisco, Rho, Nao, Thomas, Adam G., Zheng, Charles   +9 more
core  

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Investigating the psychometric properties of english vocabulary size test using network data analysis

مجله علوم روانشناختی, 2021
Background: Network science as a new field in psychological measurement provides a good platform for test analysis, but in Iran, research on the analysis of test questions using network data analysis has been neglected. Aims: The aim of this study was to
Nadia Soltani, Shahram Vahedi, Mansour Bayrami, Mohammad Hossein Zarghami   +3 more
doaj  

Learning Bayesian Networks in the Presence of Structural Side Information [PDF]

, 2021
Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash   +4 more
openalex   +1 more source