Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Anton Bezuglov"'
Publikováno v:
Transportation Research Part C: Emerging Technologies. 72:202-224
Traffic parameters can show shifts due to factors such as weather, accidents, and driving characteristics. This study develops a model for predicting traffic speeds under these abrupt changes within regime switching framework. The proposed approach u
Autor:
Gurcan Comert, Anton Bezuglov
Publikováno v:
Expert Systems with Applications. 62:284-292
Three Grey System theory models for short term traffic speed prediction studied.The grey models demonstrated better accuracy than other tested nonlinear models.The Verhulst model with Fourier error correction demonstrates the best accuracy.The simple
Autor:
Gurcan Comert, Anton Bezuglov
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 14:1360-1369
This paper develops a method for predicting traffic parameters under abrupt changes based on change point models. Traffic parameters such as speed, flow, and density are subject to shifts because of weather, accidents, driving characteristics, etc. A
Autor:
Sahadeb De, Anton Bezuglov
Publikováno v:
Environmental Modelling & Software. 21:852-867
Decision Support Systems (DSSs) have been developed to aid planners in achieving a 'suitable plan' from a complex decision space. AFOPro is one such DSS, developed in the present work, for comprehensive nutrient management in the United States. More
Publikováno v:
Computers and Electronics in Agriculture. 43:69-76
AFOPro is a response to the need to track nitrogen (N), phosphorus (P) and potassium (K) in livestock manure generated by the confined animal feeding operations (CAFOs) as well as in commercial fertilizer, and applied as nutrient sources in agricultu
Autor:
Juan E. Vargas, Anton Bezuglov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540457640
ISMIS
ISMIS
Functional biological sequences, which typically come in families, have retained some level of similarity and function during evolution. Finding consensus regions, alignment of sequences, and identifying the relationship between a sequence and a fami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a54db1475d1687c24d099c7d997e01ac
https://doi.org/10.1007/11875604_71
https://doi.org/10.1007/11875604_71