Prediction of Atmospheric Carbon Dioxide Radiative Transfer Model Based on Machine Learning

S Duan, Y Liu, L Li, Y Pan - Frontiers in Computing and Intelligent …, 2023 - drpress.org
Global warming is caused by the increasing amount of greenhouse gases in the
atmosphere. The Kyoto Protocol to the United Nations Framework Convention on Climate …

Grasp and Inspection of Mechanical Parts based on Visual Image Recognition Technology

Y Liu, S Duan, Z Shen, Z He, L Li - Journal of Theory and …, 2023 - centuryscipub.com
In the process of industrial production, whether the machine can work stably is an important
issue related to production efficiency and production safety. The cleaning of mechanical …

[PDF][PDF] COOPERATIVE GENERATIVE ADVERSARIAL NETWORKS: A DEEP DIVE INTO COLLABORATIVE INNOVATION IN GANS

Q YUXIN, N FANGHAO - … НАУЧНЫЕ ИССЛЕДОВАНИЯ: АКТУАЛЬНЫЕ …, 2023 - naukaip.ru
Regarding GANs, they usually take an unsupervised learning approach, combining the
generated model with the discriminative model in a new way, which is a new direction in the …

[HTML][HTML] AUTOMATED CLASSIFICATION OF COLD ROLLED STRIP WELD SEAM DEFECTS USING LIGHTWEIGHT DEEP LEARNING NETWORKS

Z Li, D Liu, B Chen, Z Li, X Liao - The 10th International scientific …, 2024 - books.google.com
To achieve automatic classification of cold rolled strip weld seam cupping test results, a
classification method based on a lightweight network was designed. The process began …

[HTML][HTML] RESEARCH ON INTELLIGENT RISK PREDICTION METHODS AIMED AT DIGITAL FINANCIAL FRAUD

W Sun, Z Wang, L Huang, T Chen… - The 8th International …, 2024 - books.google.com
Financial fraud, characterized by illicitly obtaining economic benefits, significantly
undermines the efficiency and stability of capital markets, causing profound disruptions to …

[HTML][HTML] SHORT-TERM MINE POWER LOAD FORECASTING METHOD BASED ON DEEP LEARNING

L Huang, T Chen, Z Wang, Z Li… - … ASPECTS OF THE …, 2024 - books.google.com
Short-term electric power load forecasting can accurately assess the overall changes in the
electric power load of coal mines, ensuring the safe and reliable operation of the coal mine …

[HTML][HTML] RESEARCH ON IMAGE CLASSIFICATION ALGORITHMS BASED ON DEEP LEARNING

J Yu, Z Cui, Z Li, X Liao, Y Du - … and theories”(March 26–29, 2024 …, 2024 - books.google.com
This article focuses on solving the problem of insufficient labeled data in deep learning
image classification, proposing two solutions: transfer learning and unsupervised domain …

[PDF][PDF] RESEARCH ON PORTFOLIO OPTIMIZATION BASED ON DEEP LEARNING QUANTITATIVE ANALYSIS

W Zihao - НАУЧНЫЕ ИССЛЕДОВАНИЯ МОЛОДЫХ УЧЁНЫХ …, 2024 - naukaip.ru
In the study and practice of capital gains and portfolio theory, the traditional methods of
return and risk measurement analysis in capital markets are no longer applicable. The …

[PDF][PDF] DETERMINATION OF THE MAXIMUM OPERATING RANGES OF SIX DEGREES-OF-FREEDOM MOTION SYSTEM MOVEMENT

K Volodymyr, H Serhii - … of the development of science and …, 2024 - dspace.uzhnu.edu.ua
Conclusion. By specifying minimum movement ranges for various motion cues and
introducing a geometric approach to optimize these ranges within three defined …

АКТУАЛЬНЫЕ ВОПРОСЫ СОВРЕМЕННОЙ НАУКИ И ОБРАЗОВАНИЯ

Z WANG, YA JIANG, X LIAO, X HUANG - elibrary.ru
With the advancement of information technology, the assessment of financial risk is
increasingly garnering attention from both national authorities and various financial …