Zobrazeno 1 - 10
of 4 688
pro vyhledávání: '"bilstm"'
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 5, pp. 838-857.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-06-2023-0230
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 4, pp. 669-690.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-10-2023-0645
Autor:
Zhu, Meng, Xu, Xiaolong
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 4, pp. 590-607.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-03-2023-0088
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Sentiment analysis is a pivotal tool in understanding public opinion, consumer behavior, and social trends, underpinning applications ranging from market research to political analysis. However, existing sentiment analysis models frequently
Externí odkaz:
https://doaj.org/article/42c3755db21945f6b2d56854a70e5b30
Autor:
Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Heart disease is a leading cause of death globally; therefore, accurate detection and classification are prominent, and several DL and ML methods have been developed over the last decade. However, the classical approaches may be prone to ove
Externí odkaz:
https://doaj.org/article/58187d25b9e34ea38bb1efa250d5b08b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Aiming at the Terrestrial Water Storage(TWS) changes in the Amazon River basin, this article uses the coordinate time series data of the Global Navigation Satellite System (GNSS), adopts the Variational Mode Decomposition and Bidirectional L
Externí odkaz:
https://doaj.org/article/34f24220d2ef41509c24f2883e454434
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Currently, the alarm functions of existing levee seepage monitoring systems are limited to single-parameter monitoring and lack rate-of-change alarms and correlation alarms. This can lead to false alarms, missed alarms, equipment failures, o
Externí odkaz:
https://doaj.org/article/befa0d2b5c294f23b3c32df8012f89f1
Publikováno v:
Geo-spatial Information Science, Pp 1-20 (2024)
Understanding the sentiments of social media posts can help health authorities respond to disease outbreaks, through a proxy measure of fear, confidence, and community compliance. Sentiment analysis identifies a pattern of emotion through the written
Externí odkaz:
https://doaj.org/article/8d35fb66dc9442fb9fe02d2918522d17
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 26916-26950 (2024)
Accurate prediction of sewage flow is crucial for optimizing sewage treatment processes, cutting down energy consumption, and reducing pollution incidents. Current prediction models, including traditional statistical models and machine learning model
Externí odkaz:
https://doaj.org/article/74bf350d35f04f6a9f54463179929e38
Autor:
Cho Do Xuan, Tung Thanh Nguyen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract To enhance the effectiveness of the Advanced Persistent Threat (APT) detection process, this research proposes a new approach to build and analyze the behavior profiles of APT attacks in network traffic. To achieve this goal, this study carr
Externí odkaz:
https://doaj.org/article/8adc37f10081473ca0b8cb6b1cce9073