Zobrazeno 1 - 10
of 8 106
pro vyhledávání: '"Mean-Shift"'
Publikováno v:
Scientific Journal of Astana IT University, Pp 31-47 (2024)
This research applies deep neural networks (DNN) and convolutional neural networks (CNN) to the modeling and prediction of driving behavior in autonomous vehicles within the Smart City context. Developed, trained, validated, and tested within the Ker
Externí odkaz:
https://doaj.org/article/7654491f0934443690e1b7b2e3608aad
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Outliers, data points that significantly deviate from the norm, can have a substantial impact on statistical inference and provide valuable insights in data analysis. Multiple methods have been developed for outlier detection, how
Externí odkaz:
https://doaj.org/article/4714117794774db2ab6957ab16c5cf6e
Autor:
Aysha Naseer, Hamdan A. Alzahrani, Nouf Abdullah Almujally, Khaled Al Nowaiser, Naif Al Mudawi, Asaad Algarni, Jeongmin Park
Publikováno v:
IEEE Access, Vol 12, Pp 37165-37178 (2024)
Machines need to be able to recognize and understand complex visual surroundings to function at their best in a variety of contexts. Here, we address the difficult problem of multi-object recognition to obtain a sophisticated knowledge of complex vis
Externí odkaz:
https://doaj.org/article/ef95f62249a34589a3d825d8a3bc5fe5
Autor:
Steffen Link, Patrick Plötz
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110277- (2024)
This data article introduces a comprehensive dataset of real-world truck parking locations across Europe. The dataset comprises N = 19,713 designated parking sites classified according to public accessibility and suitability for heavy-duty trucks (HD
Externí odkaz:
https://doaj.org/article/475c0a37fea142bd94226206798fd637
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8453 (2024)
How to acquire the exact center of a circular sample is an essential task in object recognition. Present algorithms suffer from the high time consumption and low precision. To tackle these issues, we propose a novel circle center location algorithm b
Externí odkaz:
https://doaj.org/article/a729abecc38a4812b766e38e2dc36a33
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 6023-6035 (2023)
Abstract In this paper, we propose a scheme for autonomous exploration in unknown environments using a mobile robot. To reduce the storage consumption and speed up the search of frontiers, we propose a wave-features-based rapidly exploring random tre
Externí odkaz:
https://doaj.org/article/0ae496c2b17e45f9b70ec86dcd31684d
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 7, Iss , Pp 100400- (2024)
The advent of the fifth-generation (5 G) network integrates a spectrum of powerful technologies. Among these, Device-to-Device (D2D) communication stands as a focal point in research due to its expansive array of applications. Within the realm of 5 G
Externí odkaz:
https://doaj.org/article/85c1742ee60f4ddca650aef1ea66b483
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Machine vision technology improves the ability to detect the environment of industrial robots, which contributes to the improvement of the collaboration efficiency of swarm robots. This paper proposes a roadmap extraction algorithm that utilizes the
Externí odkaz:
https://doaj.org/article/a1970e8b21ac4d9295a971adff0ea03c
Autor:
Bai Guiwei, Zhou Guobao
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, HOG features are used to describe positive and negative sample images, and visual communication elements are extracted by distinguishable mean shift algorithm, and the visual communication elements finally obtained can represent the ch
Externí odkaz:
https://doaj.org/article/7c74ad370d5f4c588d9e8abe50556d81