Results 71 to 80 of about 288,791 (262)

Convolutional Neural Network Model Based on Local Feature [PDF]

Jisuanji gongcheng, 2018
The traditional Convolutional Neural Network(CNN) is difficult to obtain high recognition rate when the feature of the input image is not obvious.To solve this problem,this paper conatrusts Convolutional Neural Network model Based on Local Feature(CNN-LF)
SHI En,LI Qian,GU Daquan,ZHAO Zhangming
doaj  

Advancements in Image Classification using Convolutional Neural Network

, 2019
Convolutional Neural Network (CNN) is the state-of-the-art for image classification task. Here we have briefly discussed different components of CNN. In this paper, We have explained different CNN architectures for image classification.
Dutta, Paramartha, Sufian, A., Sultana, Farhana   +2 more
core   +1 more source

Liquid Metal Sensors for Soft Robots

Advanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang, Nan Li, Yujia Song, Chen Hua, Tangzhen Guan, Yibing Ma, Cai Cheng, Jing Liu   +7 more
wiley   +1 more source

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

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Voicing classification of visual speech using convolutional neural networks [PDF]

, 2015
The application of neural network and convolutional neural net- work (CNN) architectures is explored for the tasks of voicing classification (classifying frames as being either non-speech, unvoiced, or voiced) and voice activity detection (VAD) of vi ...
Le Cornu, Thomas, Milner, Ben
core  

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

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

Convolutional Neural Network (CNN) with Randomized Pooling

, 2022
Abstract Convolutional Neural Network (CNN) is a deep learning approach to solve complex problems, and it has been widely used in image processing for image classification, object identification, semantic segmentation etc. It has overcome the constraint of traditional machine learning approaches.
Hafiz Imran, Khalid Aamir, Muhammad Ilyas   +2 more
openaire   +1 more source