Zobrazeno 1 - 10
of 315
pro vyhledávání: '"transformer networks"'
Autor:
Cao Zhang, Jiangqin He, Xingyuan Liang, Qinye Shi, Lijia Peng, Shuai Wang, Jiannan He, Jianhong Xu
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Postoperative pain is a prevalent symptom experienced by patients undergoing surgical procedures. This study aims to develop deep learning algorithms for predicting acute postoperative pain using both essential patient details and
Externí odkaz:
https://doaj.org/article/3ae1bb9b852e4c5b8b1823eddeedc400
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 976-994 (2025)
Building type information indicates the functional properties of buildings and plays a crucial role in smart city development and urban socioeconomic activities. Existing methods for classifying building types often face challenges in accurately dist
Externí odkaz:
https://doaj.org/article/979926b8605b48b8b79e2e0649306ebc
Publikováno v:
Port Said Engineering Research Journal, Vol 28, Iss 3, Pp 88-102 (2024)
Human Activity Recognition (HAR) is considered a multidisciplinary field that different branches of science contribute to its advancements. Vision-Based HAR is one of the means to use Computer Vision (CV) and its techniques to study and analyze the b
Externí odkaz:
https://doaj.org/article/c6a607800e3e472dbb3998bb36309b23
Publikováno v:
PeerJ Computer Science, Vol 10, p e2463 (2024)
The proliferation of digital information necessitates advanced techniques for multiple document summarization, capable of distilling vast textual data efficiently. Traditional approaches often struggle with coherence, integration of multimodal data,
Externí odkaz:
https://doaj.org/article/1d1dc5da68fc48a79983a94734e8401d
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6745-6765 (2024)
Abstract Parkinson’s disease is a chronic neurodegenerative condition accompanied by a variety of motor and non-motor clinical symptoms. Diagnosing Parkinson’s disease presents many challenges, such as excessive reliance on subjective scale score
Externí odkaz:
https://doaj.org/article/f3aae86ceb344ae4a8703afde5be9763
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Identifying cable insulation defects is crucial for preventing system failures and ensuring the reliability of electrical infrastructure. This paper introduces a novel method leveraging the Markov transition field (MTF) and Transformer network to imp
Externí odkaz:
https://doaj.org/article/104c4247da8d4e44a64a127cf63a275d
Autor:
Eate Vargil Vijay, K Aparna
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 7, Pp 102784- (2024)
Cognitive radio has been recommended for enhancing wireless spectrum usage, and an important part of cognitive radio is spectrum sensing. Conventional spectrum sensing techniques rely on energy detection and feature extraction from a received signal
Externí odkaz:
https://doaj.org/article/0aca8092111946b684d38365a128d19d
Publikováno v:
IEEE Access, Vol 12, Pp 77536-77554 (2024)
Real-world applications of word embeddings to downstream clustering tasks may experience limitations to performance, due to the high degree of dimensionality of the embeddings. In particular, clustering algorithms do not scale well when applied to hi
Externí odkaz:
https://doaj.org/article/d4511aa25f7a4e57bf52f255a03761a5
Autor:
Marco Leo, Pierluigi Carcagnì, Luca Signore, Francesco Corcione, Giulio Benincasa, Mikko O. Laukkanen, Cosimo Distante
Publikováno v:
AI, Vol 5, Iss 1, Pp 324-341 (2024)
Colorectal cancer is one of the most lethal cancers because of late diagnosis and challenges in the selection of therapy options. The histopathological diagnosis of colon adenocarcinoma is hindered by poor reproducibility and a lack of standard exami
Externí odkaz:
https://doaj.org/article/3456b8c2b13f42828f9f91a62dec52f5
Autor:
Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier, Naoufel Werghi
Publikováno v:
Brain Informatics, Vol 10, Iss 1, Pp 1-13 (2023)
Abstract Early identification of mental disorders, based on subjective interviews, is extremely challenging in the clinical setting. There is a growing interest in developing automated screening tools for potential mental health problems based on bio
Externí odkaz:
https://doaj.org/article/525f8d6e6bcc49658b69071a92e1c230