Zobrazeno 1 - 10
of 529
pro vyhledávání: '"Late fusion"'
Autor:
Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia Khan, V. Vinoth Kumar, T. R. Mahesh, Ahlam Almusharraf, Eid Albalawi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-19 (2024)
Abstract Breast cancer has become the leading cause of cancer mortality among women worldwide. The timely diagnosis of such cancer is always in demand among researchers. This research pours light on improving the design of computer-aided detection (C
Externí odkaz:
https://doaj.org/article/b1bc3f6060644f508ed0d0468f0b6174
Publikováno v:
Vietnam Journal of Computer Science, Vol 11, Iss 02, Pp 211-239 (2024)
The categorization of texture images requires the identification and extraction of meaningful keypoints, a crucial step in ensuring the precise representation of textured images. The literature has introduced numerous descriptors in order to detect a
Externí odkaz:
https://doaj.org/article/92e3f23c27bb4f199ed17e1b615e60a0
Publikováno v:
IEEE Access, Vol 12, Pp 20692-20704 (2024)
Facial expression recognition (FER) is one of the best non-intrusive methods for understanding and tracking mood and mental states. In this study, we propose early and late fusion methods to recognize five facial expressions (angry, happy, neutral, s
Externí odkaz:
https://doaj.org/article/944f22d962974926928440c06a4888b5
Publikováno v:
IEEE Access, Vol 12, Pp 245-257 (2024)
The goal of music genre classification is to identify the genre of given feature vectors representing certain characteristics of music clips. In addition, to improve the accuracy of music genre classification, considerable research has been conducted
Externí odkaz:
https://doaj.org/article/2ac6d598a6e0444d8aaacef41bd16ebe
Publikováno v:
Data Technologies and Applications, 2023, Vol. 57, Issue 5, pp. 668-695.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-08-2022-0330
Publikováno v:
IEEE Access, Vol 11, Pp 142893-142902 (2023)
Road user categorization is essential for autonomous driving perception. In challenging traffic situations including unfavorable weather (such as fog, snow, and rain) and dim lighting. There are several kinds of sensors that need to be researched in
Externí odkaz:
https://doaj.org/article/050c7c33f3064e8982688cc4cf33d047
Publikováno v:
IEEE Access, Vol 11, Pp 84283-84300 (2023)
In this article we carry out a comparison between early (feature) and late (score) multimodal fusion, for the two-class problem. The comparison is made first from a general perspective, and then from a specific mathematical analysis. Thus, we deduce
Externí odkaz:
https://doaj.org/article/7953f0728d3649ba97ebb60d5304614b
Autor:
Matteo Tortora, Ermanno Cordelli, Rosa Sicilia, Lorenzo Nibid, Edy Ippolito, Giuseppe Perrone, Sara Ramella, Paolo Soda
Publikováno v:
IEEE Access, Vol 11, Pp 47563-47578 (2023)
Current practice in cancer treatment collects multimodal data, such as radiology images, histopathology slides, genomics and clinical data. The importance of these data sources taken individually has fostered the recent rise of radiomics and pathomic
Externí odkaz:
https://doaj.org/article/d7b5d00fee2245a7989132a6f32c1173
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1920 (2024)
The paper aims to develop an information system for human emotion recognition in streaming data obtained from a PC or smartphone camera, using different methods of modality merging (image, sound and text). The objects of research are the facial expre
Externí odkaz:
https://doaj.org/article/d3262812436046969929afa050983724
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 558 (2024)
Classifying pathological gaits is crucial for identifying impairments in specific areas of the human body. Previous studies have extensively employed machine learning and deep learning (DL) methods, using various wearable (e.g., inertial sensors) and
Externí odkaz:
https://doaj.org/article/24ece6ca21cb4477bde803f1c7001ba2