Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization by Lei Guo, Yu Han, Haoran Jiang, Xinxin Yang, Xinhua Wang, Xiyu Liu

“…Recent works argued that the understanding of document context can be improved by the convolutional neural network (CNN) and proposed the convolutional matrix factorization (ConvMF) to leverage the contextual information of documents to enhance the rating prediction accuracy. …”
Get full text

Entropy-Based Ensemble of Convolutional Neural Networks for Clothes Texture Pattern Recognition by Reham Al-Majed, Muhammad Hussain

“…Machine learning methods proposed for this problem mostly rely on handcrafted features and traditional classification methods. …”
Get full text

Atmospheric Turbulence Intensity Image Acquisition Method Based on Convolutional Neural Network by Yuan Mu, Liangping Zhou, Shiyong Shao, Zhiqiang Wang, Pei Tang, Zhiyuan Hu, Liwen Ye

“…The convolutional neural network exhibits high accuracy under moderate and weak turbulence, and the estimation values under strong turbulence conditions are still mostly within the 95% confidence interval. …”
Get full text

Diagnosis of Alzheimer Disease Using 2D MRI Slices by Convolutional Neural Network by Fanar E. K. Al-Khuzaie, Oguz Bayat, Adil D. Duru

“…We adopted a deep learning methodology for the discrimination between Alzheimer’s patients and healthy patients from 2D anatomical slices collected using magnetic resonance imaging. Most of the previous researches were based on the implementation of a 3D convolutional neural network, whereas we incorporated the usage of 2D slices as input to the convolutional neural network. …”
Get full text

Dynamic convolutional model based on distribution-collaboration strategy for remote sensing scene classification by Chenjun Xu, Jingqian Shu, Zhenghan Wang, Jialin Wang

“…Most existing remote sensing image scene classification (RSISC) models rely mainly on cloud or terminal convolutional neural networks (CNN). …”
Get full text

An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection by Flavia Grignaffini, Enrico De Santis, Fabrizio Frezza, Antonello Rizzi

“…Computer-aided diagnosis (CAD) systems, which combine medical image processing with artificial intelligence (AI) to support experts in diagnosing various diseases, emerged from the need to solve some of the problems associated with medical diagnosis, such as long timelines and operator-related variability. The most explored medical application is cancer detection, for which several CAD systems have been proposed. …”
Get full text

SlidingConv: Domain-Specific Description of Sliding Discrete Cosine Transform Convolution for Halide by Yamato Kanetaka, Hiroyasu Takagi, Yoshihiro Maeda, Norishige Fukushima

“…One of the most efficient methods is tile-based parallelization. …”
Get full text

Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

Get full text

Predicting Solar Flares Using a Convolutional Neural Network with Extreme-ultraviolet Images by Yun Yang, Yi Wei Ni, P. F. Chen, Xue Shang Feng

“…Solar flares, as one of the most intense solar eruptive activities, can bring a destructive impact on the near-Earth space environment and technological infrastructure. …”
Get full text

Based on linear systolic array for convolutional neural network’s calculation optimization and performance analysis by Qinrang LIU, Chongyang LIU, Jun ZHOU, Xiaolong WANG

“…Concerning the issue that the convolutional neural network (CNN) accelerator design on most FPGA ends fails to effectively use the sparsity and considering both bandwidth and energy consumption,two improved CNN calculation optimization strategies based on linear systolic array architecture are proposed.Firstly,convolution is transformed into matrix multiplication to take advantage of sparsity.Secondly,in order to solve the problem of large I/O demand in traditional parallel matrix multiplier,linear systolic array is used to improve the design.Finally,a CNN acceleration comparative analysis of the advantages and disadvantages between parallel matrix multiplier and two improved linear systolic arrays is presented.Theoretical proof and analysis show that compared with the parallel matrix multiplier,the two improved linear systolic arrays make full use of sparsity,and have the advantages of less energy consumption and less I/O bandwidth occupation.…”
Get full text

Verification of a static (off-line) signature using a convolutional neural network by U. Yu. Akhundjanov, V. V. Starovoitov

“…The signature still remains one of the most common methods of identification. The signature on financial and other documents can be forged, so detecting forgery is an urgent task. …”
Get full text

Multi-stream part-fused graph convolutional networks for skeleton-based gait recognition by Likai Wang, Jinyan Chen, Zhenghang Chen, Yuxin Liu, Haolin Yang

“…Gait recognition, a task of identifying people through their walking pattern, has attracted more and more researchers' attention. At present, most skeleton-based gait recognition approaches extract gait features from merely joint coordinates. …”
Get full text

Graph learning-based spatial-temporal graph convolutional neural networks for traffic forecasting by Na Hu, Dafang Zhang, Kun Xie, Wei Liang, Meng-Yen Hsieh

“…In most existing approaches, GCN models spatial dependencies in the traffic network with a fixed adjacency matrix. …”
Get full text

Convolutional neural network based on transfer learning for discriminating the fermentation degree of black tea by Xuesong Zhu, Zezhong Ding, Mei Wang, Shanjian Liu, Yulong Chen, Chunwang Dong

“…Abstract Black tea is among the most widely consumed tea. The fermentation process is crucial for developing the flavor of black tea. …”
Get full text

Using image augmentation techniques and convolutional neural networks to identify insect infestations on tomatoes by Moy'awiah Al-Shannaq, Shahed N. Alkhateeb, Mohammad Wedyan

“…Pest insects are a danger to both regional and global food security. In Jordan, the most productive crop is tomato. Jordan's agriculture output is threatened by insect infestations. …”
Get full text

Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment by An Zichen, Li Fan

“…This review focuses on the application of convolutional neural networks (CNNs) within DL technology in the field of breast US. …”
Get full text

An Extensive Study of Convolutional Neural Networks: Applications in Computer Vision for Improved Robotics Perceptions by Ravi Raj, Andrzej Kos

“…Convolutional neural networks (CNNs), a type of artificial neural network (ANN) in the deep learning (DL) domain, have gained popularity in several computer vision applications and are attracting research in other fields, including robotic perception. …”
Get full text

CLASS IMBALANCE PROBLEM IN ANTI-FRAUD PROBLEM: METRICS, SAMPLING AND CONVOLUTIONAL NEURAL NETWORKS by Ruslan Ch. Bobonazarov

“…In the concluding part of the study, an approach using convolutional neural networks for the task of fraud detection is proposed, which achieved a PR AUC score of 0.91, significantly surpassing the results of all traditional approaches.…”
Get full text

Image Denoising Using Quantum Deep Convolutional Generative Adversarial Network for Medical Images by Priyanka Nandal, Sudesh Pahal, Govind Murari Upadhyay

“…Generative adversarial networks (GANs) are among the most extensively used deep learning methods for various computer vision tasks. …”
Get full text

An Improved Convolutional Neural Network (CNN) for Disease Detection and Diagnosis for Multi-crop Plants by Florence Choong Chiao Mei, Bryan Ng Jan Hong

“…These requirements would likely deter most users in remote areas or poorer economic states. …”
Get full text