Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Neural network optimization"'
Autor:
L. S. Brilliant, M. R. Dulkarnaev, M. Yu. Danko, A. O. Elisheva, D. K. Nabiev, A. I. Khutornaya, I. N. Malkov
Publikováno v:
Georesursy, Vol 24, Iss 1, Pp 3-15 (2024)
Optimization of the “mature” fields development in machine learning algorithms is one of the urgent problems nowadays. The task is set to extend the effective operation of wells, optimize production management at the late stage of field developme
Externí odkaz:
https://doaj.org/article/23fe10c3eab647f98f35aadc5163e51d
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6766 (2024)
In the current era, the government consistently emphasizes the pursuit of high-quality development, as evidenced by the ongoing increase in the tertiary industry’s GDP share. As a crucial component of the modern service sector, logistics plays a pi
Externí odkaz:
https://doaj.org/article/cb3543e36e674795ada83c7e99fb34ed
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1132 (2024)
The color features of strawberries at different growth stages vary slightly and occluded during growth. To address these challenges, this study proposes a lightweight multi-stage detection method based on You Only Look Once version 7-tiny (YOLOv7-tin
Externí odkaz:
https://doaj.org/article/21020b9d7bd2421bb81c0274e2fb5d08
Autor:
Artem Perepelitsyn
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 3, Pp 27-36 (2023)
The subject of study in this article is the technologies of Field Programmable Gate Array (FPGA), methods, and tools for prototyping of hardware accelerators of Artificial Intelligence (AI) and providing it as a service. The goal is to reduce the eff
Externí odkaz:
https://doaj.org/article/515f45f0918b4508b5a1e32589036c4b
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Today, the evolution of art teaching evaluation systems faces significant challenges and opportunities, particularly with the limitations of subjective judgments in traditional methods impacting the accuracy of teaching quality assessments. This stud
Externí odkaz:
https://doaj.org/article/264462421db548e0901445db900737f1
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3497 (2024)
This study refines the YOLOv7-tiny model through structured pruning and architectural fine-tuning, specifically for real-time eye state detection. By focusing on enhancing the model’s efficiency, particularly in environments with limited computatio
Externí odkaz:
https://doaj.org/article/6fc48b1ee6f34e5ea70b5616dba934ab
Autor:
Jeonggyu Jang, Hoeseok Yang
Publikováno v:
IEEE Access, Vol 11, Pp 62449-62461 (2023)
Convolutional Neural Networks (CNNs) are widely used in various systems, including text resource-constrained embedded systems or IoT devices. In such systems, it is typical to deploy compressed or pruned CNNs, instead of original ones, at the cost of
Externí odkaz:
https://doaj.org/article/36a59363437743c189345916f6d2b607
Publikováno v:
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 6, Iss 6, Pp 1079-1087 (2022)
This study aims to determine the effect of covid 19 on the movement of the JCI Stock Price by testing various combinations of the input variables of closed price stock data on the JCI. The analysis is carried out to find the best RMSE value from the
Externí odkaz:
https://doaj.org/article/b640d45202044a14926f07c81f8e2653
Publikováno v:
AIMS Environmental Science, Vol 9, Iss 5, Pp 735-753 (2022)
In order to predict the temperature change of Laoshan scenic area in Qingdao more accurately, a new back propagation neural network (BPNN) prediction model is proposed in this study. Temperature change affects our lives in various ways. The challenge
Externí odkaz:
https://doaj.org/article/873ce8408603405682a763adf644b0bf
Publikováno v:
Franklin Open, Vol 4, Iss , Pp 100037- (2023)
The over-parameterization of neural networks and the local optimality of backpropagation algorithm have been two major problems associated with deep-learning. In order to reduce the redundancy of neural network parameters, the conventional approach h
Externí odkaz:
https://doaj.org/article/838fb71ba88d40b8b279d2d48a7e4dae