Results 81 to 90 of about 86,091 (310)
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 +4 more
wiley +1 more source
NEW CRITERIA FOR THE EXISTENCE OF STABLE EQUILIBRIUM POINTS IN NONSYMMETRIC CELLULAR
Electrica, 2002 This paper presents new criteria for the existence of stable equilibrium points in the total saturation region for cellular neural networks (CNNs). It is shown that the results obtained can be used to derive some complete stability conditions for some ...
Neyir OZCAN +2 more
doaj +2 more sources
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Rapid advances in 2D perception have led to systems that accurately detect objects in real-world images. However, these systems make predictions in 2D, ignoring the 3D structure of the world. Concurrently, advances in 3D shape prediction have mostly focused on synthetic benchmarks and isolated objects. We unify advances in these two areas. We propose a
Gkioxari, Georgia +2 more
openaire +4 more sources
Annotated Image Database of Architecture-CNNs (AIDA-CNNs)
By leveraging the state-of-the-art deep-learning-based classification models, a series of hierarchical multi-label classification models (AIDA-CNNs) are provided as a baseline for the task of architectural category classification. With the high-diversity
Chen, Jielin
core +1 more source
Training CNNs With Normalized Kernels
, 2018 Several methods of normalizing convolution kernels have been proposed in the literature to train convolutional neural networks (CNNs), and have shown some success. However, our understanding of these methods has lagged behind their success in application;
Ozay, Mete, Okatani, Takayuki
core +1 more source
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 +6 more
wiley +1 more source
Parameter list of the three CNNs.
, 2019 Parameter list of the three CNNs.
Di Xue (696873) +4 more
core +1 more source
On Designing Resource-Constrained CNNs Efficiently
, 2022 Deep Convolutional Neural Networks (CNNs) have been adopted in many computer vision applications to achieve high performance. However, the growing computational demand of CNNs has made it increasingly difficult to deploy state-of-the-art CNNs onto ...
Ting-wu Chin (4930282)
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 +3 more
wiley +1 more source
On global exponential stability of standard and Full-Range CNNs
, 2008 This paper compares the dynamical behaviour of the standard (S) cellular neural networks (CNNs) and the full-range (FR) CNNs, when the two CNN models are characterized by the same set of parameters (interconnections and inputs).
Pancioni, Luca +7 more
core +1 more source