Results 141 to 150 of about 1,305,191 (158)
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Spatial–temporal features-based EEG emotion recognition using graph convolution network and long short-term memory

Physiological Measurement, 2023
Objective. Emotion recognition on the basis of electroencephalography (EEG) signals has received a significant amount of attention in the areas of cognitive science and human–computer interaction (HCI).
Fang Zheng   +3 more
semanticscholar   +1 more source

Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting

Industrial Conference on Data Mining, 2020
Stock movement prediction, a widely addressed research avenue in the world of computer science and finance, it finds fundamental applications in quantitative trading and investment decision making.
Ramit Sawhney   +3 more
semanticscholar   +1 more source

An Automated Vertebrate Animals Classification Using Deep Convolution Neural Networks

International Conference on Computer Science and Software Engineering, 2020
On over years, the accuracy level of any algorithm for animal detection using a computer vision system is still practically unusable under uncontrolled environment. A lot of interesting has been shown to object detection, recognition, and classification,
Nidhal K. El Abbadi   +1 more
semanticscholar   +1 more source

Encrypted Traffic Classification Based on Text Convolution Neural Networks

International Conference on Computer Science and Network Technology, 2019
Traffic classification is of great significance to network management. With the wide application of encryption technology, traditional traffic classification methods are no longer applicable.
Mingze Song, Jing Ran, Shulan Li
semanticscholar   +1 more source

Similar Music Instrument Detection via Deep Convolution YOLO-Generative Adversarial Network

International Conference on Awareness Science and Technology, 2019
Object detection and image recognition are important research topics in machine learning and artificial intelligence. The major challenge of the computer vision image recognition is to detect and recognize a similar object. Generative Adversarial Network
Christine Dewi   +3 more
semanticscholar   +1 more source

Grape Disease Identification Using Convolution Neural Network

International Computer Science and Engineering Conference, 2019
In this paper, we present a CNN model to identify the disease in grapes plant in early stage by analyzing the leaf images. The model is illustrated on publicly available PlantVillage dataset and the performance compared with traditional machine learning ...
M. Agarwal, S. Gupta, K. K. Biswas
semanticscholar   +1 more source

Handwritten computer science words vocabulary recognition using concatenated convolutional neural networks

open access: closed, 2022
Soufiane Hamida   +4 more
openalex   +1 more source

Detection of Lung Cancer Using Convolution Neural Network

SN Computer Science, 2023
C. Shankara, S. Hariprasad, D. U. Latha
semanticscholar   +1 more source

Computer Science – CACIC 2017

Communications in Computer and Information Science, 2017
J. M. Loyola   +3 more
semanticscholar   +1 more source

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