Results 101 to 110 of about 5,510,322 (305)

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

A novel reflectance transformation and convolutional neural network framework for generating bathymetric data for long rivers: A case study on the Bei River in South China

International Journal of Applied Earth Observations and Geoinformation
Satellite-derived bathymetry plays a significant role in characterizing river systems, furnishing invaluable insights for applications such as flood risk management.
Ting On Chan, Simin Zhang, Linyuan Xia, Ming Luo, Jinhua Wu, Joseph Awange   +5 more
doaj   +1 more source

Rotational Objects Recognition and Angle Estimation via Kernel-Mapping CNN

IEEE Access, 2019
Convolutional neural network (CNN) has become the mainstream method in the field of image recognition for its excellent ability to feature extraction.
Yuanyuan Zhou, Jun Shi, Xiaqing Yang, Chen Wang, Shunjun Wei, Xiaoling Zhang   +5 more
doaj   +1 more source

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

Boosting CNN Accuracy for Sundanese Script Recognition through Feature Extraction Techniques

Journal of Applied Informatics and Computing
Sundanese script is included in the cultural heritage in Indonesia, especially the culture in West Java. As a society that appreciates and preserves Indonesian culture and art, active participation can be realized through efforts to strengthen and ...
Musthofa Galih Pradana, Hilda Khoirunnisa   +1 more
doaj   +1 more source

SurfCNN: A Descriptor Accelerated Convolutional Neural Network for Image-Based Indoor Localization

IEEE Access, 2020
Convolutional neural network (CNN) is a powerful tool for many data applications. However, its high dimension nature, large network size and computational complexity, and the need of large amount of training data make it challenging to be used in edge ...
Ahmed M. Elmoogy, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy Tarimala   +4 more
doaj   +1 more source

B-CNN: Branch Convolutional Neural Network for Hierarchical Classification

CoRR, 2017
9 pages, 8 ...
Xinqi Zhu, Michael Bain 0001
openaire   +2 more sources

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

Deep Learning-Based Approaches for Brain Tumour Segmentation and Classification

European Medical Journal
Brain tumours are caused by the abnormal growth of cells in the brain. This occurs mainly due to genetic changes or exposure to X-ray radiation. When the tumours are detected early, they can be removed via surgery.
Vidya Baiju, Akshitha J, Namasiyava Naveen S   +2 more
doaj   +1 more source