Results 61 to 70 of about 293,560 (163)

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  

Intelligent Prediction of Customer Churn with a Fused Attentional Deep Learning Model

Mathematics, 2022
In recent years, churn rates in industries such as finance have increased, and the cost of acquiring new users is more than five times the cost of retaining existing users. To improve the intelligent prediction accuracy of customer churn rate, artificial
Yunjie Liu, Mu Shengdong, Gu Jijian, Nadia Nedjah   +3 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

Machine learning for maize plant segmentation [PDF]

, 2016
High-throughput plant phenotyping platforms produce immense volumes of image data. Here, a binary segmentation of maize colour images is required for 3D reconstruction of plant structure and measurement of growth traits.
Dhondt, Stijn, Donné, Simon, Goossens, Bart, Inzé, Dirk, Luong, Hiep, Philips, Wilfried, Wuyts, Nathalie   +6 more
core  

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

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

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

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

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

Gender Classification Using a Convolutional Neural Network (CNN)

Abstract The purpose of this paper is to demonstrate an innovative convolutional neural network (also known as CNN) methodology for real-time categorization of gender via face photos. The suggested CNN architecture boasts much reduced computational complexity than the current methodologies used in pattern recognition applications.
Vyshnavi, Cherukuri, Homitha, Nookala Sai, Vasavi, Balabhadra, Bhavana, Mareedu, Bulla, Suneetha   +4 more
openaire   +2 more sources