Zobrazeno 1 - 10
of 3 486
pro vyhledávání: '"grouped"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract In order to effectively control the large deformation of coal pillar and roadway during entry retained along gob side with small coal pillar, taking 1311 and 1312 working faces of a coal mine in Shanxi Province as engineering background, the
Externí odkaz:
https://doaj.org/article/21e6662a839641e6b8e7e28addeb6e7c
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7777-7797 (2024)
Abstract Person Re-identification (Re-ID) technology aims to solve the matching problem of the same pedestrians at different times and places, which has important application value in the field of public safety. At present, most scholars focus on des
Externí odkaz:
https://doaj.org/article/a6ed5037ce494037836fa26da46ce04d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract In real-life complex traffic environments, vehicles are often occluded by extraneous background objects and other vehicles, leading to severe degradation of object detector performance. To address this issue, we propose a method named YOLO-O
Externí odkaz:
https://doaj.org/article/5deed0de63124d5abd80828845553dc9
Autor:
Johannes Allgaier, Rüdiger Pryss
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1378-1388 (2024)
This study delves into the multifaceted nature of cross-validation (CV) techniques in machine learning model evaluation and selection, underscoring the challenge of choosing the most appropriate method due to the plethora of available variants. It ai
Externí odkaz:
https://doaj.org/article/c81b3fc14e7c43c2b5180c86d1be0b7d
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Expression quantitative trait locus (eQTL) analysis aims to detect the genetic variants that influence the expression of one or more genes. Gene-level eQTL testing forms a natural grouped-hypothesis testing strategy with clear bio
Externí odkaz:
https://doaj.org/article/6856a8b03ad74d07896ca9f5f714f33e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract In response to the escalating demand for real-time and accurate fault detection in power transmission lines, this paper undertook an optimization of the existing YOLOv4 network. This involved the substitution of the main feature extraction n
Externí odkaz:
https://doaj.org/article/b61c30ef34054210b97f512c810cb0a9
Publikováno v:
IEEE Access, Vol 12, Pp 32870-32880 (2024)
The detection of pavement diseases is an important and basic link in the road maintenance process. Many methods based on deep learning have been applied. However, these methods are not accurate enough and cannot accurately identify defects in complex
Externí odkaz:
https://doaj.org/article/9527c674c8fd49a496c5549dd30be290
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10417 (2024)
For existing situations of missed detections, false detections, and repeated detections in barcode detection algorithms in real-world scenarios, a barcode detection algorithm based on improved YOLOv8 is proposed. The EfficientViT block based on a lin
Externí odkaz:
https://doaj.org/article/ae96ea8b96ce4655b78f99c163ebdab3
Publikováno v:
Agriculture, Vol 14, Iss 11, p 1915 (2024)
Lightweight convolutional neural network (CNN) models have proven effective in recognizing common pest species, yet challenges remain in enhancing their nonlinear learning capacity and reducing overfitting. This study introduces a grouped dropout str
Externí odkaz:
https://doaj.org/article/e8bdea3b0c83423482ab426935dc4dfc