Zobrazeno 1 - 10
of 3 494
pro vyhledávání: '"Classification accuracy"'
Autor:
Reihane Kazerani
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-30 (2024)
Abstract Breast cancer has been one of the leading causes of death among women in the world. Early detection of this disease can save patient’s lives and reduce mortality. Due to the large number of features involved in the diagnosis of this diseas
Externí odkaz:
https://doaj.org/article/5228316944b34d34bf7e2a90de81e108
Autor:
Sameera P, Abhay A. Deshpande
Publikováno v:
Cogent Food & Agriculture, Vol 10, Iss 1 (2024)
This study presents a novel method for early-stage disease detection in pomegranate using a convolutional neural network (CNN) and honey badger optimization algorithm (HBOA). Existing fruit disease detection methods requires the appearance of externa
Externí odkaz:
https://doaj.org/article/678fc003b9984bb7b1ab15f096e43d17
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp e19153-9 (2024)
Externí odkaz:
https://doaj.org/article/ee20538f74ad47cbaed8f1d793c9e473
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
Introduction: Alzheimer’s Disease (AD) is a degenerative brain disorder characterized by cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the mortality rate through slowing down its progression. The prevention and
Externí odkaz:
https://doaj.org/article/c5beb11206464038b0f11fb3ca7c92b8
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200386- (2024)
Knowledge graphs (KGs) serve as invaluable tools for organizing and representing structural information, enabling powerful data analysis and retrieval. In this paper, we propose a novel knowledge graph learning algorithm based on deep convolutional n
Externí odkaz:
https://doaj.org/article/ce1f49e6bc0b4e228123f7f5fcad461e
Autor:
Shubhankar Bhakta, Utpal Nandi, Kuheli Ray Mahapatra, Moirangthem Marjit Singh, Abdulfattah Noorwali
Publikováno v:
IEEE Access, Vol 12, Pp 156458-156470 (2024)
Deep Neural Networks (DNNs) that aim to maximize accuracy and decrease loss can be trained using optimization algorithms. One of the most significant fields of research is the creation of an efficient optimization technique. Most adaptive optimizers,
Externí odkaz:
https://doaj.org/article/0bff71c37b474f5a8fef058b132663f0
Publikováno v:
Tongxin xuebao, Vol 45, Pp 63-76 (2024)
To solve the problem that the traditional dimensionality reduction methods cannot be directly applied to multivariate time series, and for the existing approaches, it is difficult to ensure the effectiveness of dimensionality reduction while signific
Externí odkaz:
https://doaj.org/article/d44a0ba4ec3b4b81befebd029ad2d899
Autor:
Amir Naser, Onder Aydemir
Publikováno v:
IEEE Access, Vol 12, Pp 145608-145618 (2024)
This study uses various datasets to evaluate the performance of feature extraction and classification methods for EEG signals. The EEG signals analyzed in this research are based on taste, odor, and motor imagery, employing novel methods to interpret
Externí odkaz:
https://doaj.org/article/9860b16575ae48ccb7e468f437b0196e
Autor:
Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Olena Yakovleva, Monika Hudakova, Oleksii Gorokhovatskyi
Publikováno v:
IEEE Access, Vol 12, Pp 73376-73385 (2024)
The research aims to improve structural methods of image classification based on a description as a set of keypoint descriptors. The focus is on implementing a classifier training using a committee of Kohonen networks separately for each description
Externí odkaz:
https://doaj.org/article/ed64a7b21e5e463a8ec266050911ffc3
Publikováno v:
IEEE Access, Vol 12, Pp 58573-58585 (2024)
In the advanced computer vision era, Convolutional Neural Network (CNN) plays a pivotal role in image processing, as they excel at automatically extracting important patterns, and structures, for accurate analysis across diverse domains. However, ach
Externí odkaz:
https://doaj.org/article/6ffd720677c5438aaa2aea3b407bf841