Search by keyword: "convolutional neural network"
A system for identifying different apple varieties based on the YOLOV8X neural network
| Authors: Mikheev D.A., Kitaev D.N. | Published: 28.07.2024 |
| Published in issue: #3(92)/2024 | |
| DOI: DOI: | |
| Category: Informatics, Computer Engineering and Control | Chapter: Information Technology. Computer techologies. Theory of computers and systems | |
| Keywords: computer vision, object identification, neural networks, convolutional neural network, single-stage detector, YOLOv8x, weighed products, apple varieties, retail | |
Application of the deep learning method in solving the problem of identifying landmarks in the image
| Authors: Nguyen Quy Thanh | Published: 19.12.2023 |
| Published in issue: #11(88)/2023 | |
| DOI: DOI: 10.18698/2541-8009-2023-11-950 | |
| Category: Informatics, Computer Engineering and Control | Chapter: Information Technology. Computer techologies. Theory of computers and systems | |
| Keywords: computer vision, convolutional neural network, image recognition, object detection, image processing, deep learning, artificial intelligence methods, DELF | |
Development of a convolutional neural network model for the classification of Russian traffic signs
| Authors: Matveev D.A., Petrunicheva A.S. | Published: 19.10.2020 |
| Published in issue: #9(50)/2020 | |
| DOI: DOI: 10.18698/2541-8009-2020-9-640 | |
| Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics | |
| Keywords: computer vision, convolutional neural network, neural network training, image classification problem, traffic sign classification, Russian Traffic Sign Dataset, Google Colaboratory, Keras | |
Determination of the optimal neural network architecture for the search for the railway fishplates
| Authors: Marenov N.E. | Published: 21.06.2020 |
| Published in issue: #6(47)/2020 | |
| DOI: DOI: 10.18698/2541-8009-2020-6-618 | |
| Category: Instrument Engineering, Metrology, Information-Measuring Instruments and Systems | Chapter: Laser and opto-electronic systems | |
| Keywords: convolutional neural network, deep learning, machine learning, image classification, pattern recognition, rail, fishplates, defect detection | |
The use of convolutional neural networks for training the manipulation robot to capture objects
| Authors: Jamal Mais | Published: 31.01.2020 |
| Published in issue: #1(42)/2020 | |
| DOI: DOI: 10.18698/2541-8009-2020-1-571 | |
| Category: Mechanical Engineering and Machine Science | Chapter: Robots, Mechatronics, and Robotic Systems | |
| Keywords: robot, manipulator, capture operation, neural network, convolutional neural network, machine learning, neural network training, artificial intelligence | |