Zobrazeno 1 - 10
of 8 958
pro vyhledávání: '"Belief network"'
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 6821-30 (2024)
A traceability and analysis method for measurement laboratory testing data based on the intelligent Internet of Things (IoT) and deep belief network (DBN) is proposed to address the issue of low accuracy in identifying anomalies in measurement testin
Externí odkaz:
https://doaj.org/article/b2a8183e0b4746a7aaeba8a4f7b0893c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study examines the influence of climate change on hydrological processes, particularly runoff, and how it affects managing water resources and ecosystem sustainability. It uses CMIP6 data to analyze changes in runoff patterns under diff
Externí odkaz:
https://doaj.org/article/e034c42c0dad4c628c3b695b515861eb
Autor:
Preeti Thareja, Rajender Singh Chhillar, Sandeep Dalal, Sarita Simaiya, Umesh Kumar Lilhore, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Protein–protein interaction (PPI) prediction is vital for interpreting biological activities. Even though many diverse sorts of data and machine learning approaches have been employed in PPI prediction, performance still has to be enhanced
Externí odkaz:
https://doaj.org/article/e689ee4739794999aa3364f5c1cb7be0
Publikováno v:
Vietnam Journal of Computer Science, Vol 11, Iss 02, Pp 167-193 (2024)
Facial emotion recognition (FER) is the technology or process of identifying and interpreting human emotions based on the analysis of facial expressions. It involves using computer algorithms and machine learning techniques to detect and classify emo
Externí odkaz:
https://doaj.org/article/c968e85010c94086b4d0948a91857ffc
Autor:
Haopeng Zhang, Song Liu
Publikováno v:
Ecological Indicators, Vol 167, Iss , Pp 112726- (2024)
Understanding the underlying mechanism driving ecosystem service relationships is crucial for developing successful urban planning and management policies. There is still a lack of understanding of the driving factors behind ecosystem service relatio
Externí odkaz:
https://doaj.org/article/cbf0fc50280647c68e212a0d350d0a0e
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112444- (2024)
Vegetation restoration has induced complex spatiotemporal changes in ecosystem service (ES) relationships. However, dynamic analysis on the driving mechanisms underlying ES relationships remains insufficient, constraining the comprehension on sustain
Externí odkaz:
https://doaj.org/article/26f16100458e44289608f02374b5eb19
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100514- (2024)
Digital videos have entered every facet of people’s lives because of the rise of live-streaming platforms and the Internet’s expansion & popularity. Additionally, there are a tonne of pirated videos on the Internet that seriously violate the righ
Externí odkaz:
https://doaj.org/article/b63144adec714310995a8cec7a1d1952
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 27, Iss , Pp 101178- (2024)
Sharp curves in freeways are known to be unsafe design elements since drivers do not expect them. It is difficult for drivers to estimate the radius of a curve. Therefore, drivers are believed to use other cues to decelerate when approaching a curve.
Externí odkaz:
https://doaj.org/article/372adbdaaf0742e184b5d459b1d24f12
Autor:
Naruemon Tantipisanuh, Somporn Phakpian, Pornpimon Tangtorwongsakul, Supagit Vinitpornsawan, Dusit Ngoprasert
Publikováno v:
Global Ecology and Conservation, Vol 53, Iss , Pp e03015- (2024)
Identification of wildlife corridors usually prioritizes ecological data while often overlooking the perspectives of local communities despite their relevance. This oversight may contribute to human-wildlife conflicts in surrounding areas. This study
Externí odkaz:
https://doaj.org/article/a218c35808f44558b0f1cb7e9c3a59d8
Autor:
Omid Hazbeh, Meysam Rajabi, Somayeh Tabasi, Sahar Lajmorak, Hamzeh Ghorbani, Ahmed E. Radwan, Mehdi Ahmadi Alvar, Omid Molaei
Publikováno v:
Alexandria Engineering Journal, Vol 92, Iss , Pp 358-369 (2024)
Rock physics plays an important role in the oil, gas, and water industries by providing essential data for reservoir management. This study focuses on predicting Shear Wave Velocity (Vs), a key geophysical parameter, using the Deep Belief Network (DB
Externí odkaz:
https://doaj.org/article/d6d84113e8304e3fbf964c332b1da765