Results 121 to 130 of about 8,474,325 (290)

Applying Machine Learning Models to Predict Medication Nonadherence in Crohn’s Disease Maintenance Therapy

Patient Preference and Adherence, 2020
Lei Wang,1,* Rong Fan,1,* Chen Zhang,1 Liwen Hong,1 Tianyu Zhang,1 Ying Chen,2 Kai Liu,2 Zhengting Wang,1 Jie Zhong1 1Department of Gastroenterology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of ...
Wang L, Fan R, Zhang C, Hong L, Zhang T, Chen Y, Liu K, Wang Z, Zhong J   +8 more
doaj  

FiN‐Kiri: Fabric‐Based Inflatable Kirigami Actuator for Multimodal Soft Robots

Advanced Robotics Research, EarlyView.
This study introduces a type of inflatable fabric‐based kirigami actuator capable of performing bending motion. The actuator is utilized as soft grippers, a crawling robot and a swimming robot. The crawling robot demonstrated extraordinary motion capabilities, such as moving forward, turning and navigating a narrow tunnel.
Yang Yu, Yupei Zhang, Yanqi Yin, Yehui Wu, Jinyao Zhang, Ruiyu Bai, Jiaqiang Yao, Kewei Su, Chenyi Yu, Zhicheng Tian, Naipeng Li, Zhuang Zhang, Bo Li   +12 more
wiley   +1 more source

NEURAL-NETWORK TECHNIQUES FOR VISUAL MINING CLINICAL ELECTROENCEPHALOGRAMS

, 2007
In this chapter we describe new neural-network techniques developed for visual mining clinical electroencephalograms (EEGs), the weak electrical potentials invoked by brain activity.
Joachim Schult, Neural-Network Techniques For, Vitaly Schetinin, Anatoly Brazhnikov   +3 more
core  

The training data for neural network model

The training data for neural network ...
Zhang, R
core   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery

Advanced Robotics Research, EarlyView.
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma, Ruxiang Jiang, Kaspar Althoefer, Nicolas Herzig, Hareesh Godaba   +4 more
wiley   +1 more source

Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic

Advanced Robotics Research, EarlyView.
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang, Yu Dong, Yongsheng Du, Rui Gao, Lin Zhang, Fei Tong   +5 more
wiley   +1 more source

Q learning regression neural network

, 2018
In this work, a Nadaraya-Watson kernel based learning system which owns general regression neural network topology is adapted to Q learning method to evaluate a quick and efficient action selection policy for reinforcement learning problems.
Ave M., Sangiil M., Sarıgül, Mehmet, Avcı, Mutlu   +3 more
core   +1 more source

Continuum Robots in Surgery: From Engineering Design to Clinical Practice

Advanced Robotics Research, EarlyView.
The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith, Kaitlyn Clancy, Siwen Xie, Xiaochen Li, Sarah Khalife, Benjamin van der Woerd, Onaizah Onaizah   +6 more
wiley   +1 more source

Zhang neural networks: an introduction to predictive computations for discretized time-varying matrix problems

Numerische Mathematik
AbstractThis paper wants to increase our understanding and computational know-how for time-varying matrix problems and Zhang Neural Networks. These neural networks were invented for time or single parameter-varying matrix problems around 2001 in China and almost all of their advances have been made in and most still come from its birthplace.
openaire   +1 more source