Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Segev Wasserkrug"'
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:12190-12197
The creation of Bayesian networks often requires the specification of a large number of parameters, making it highly desirable to be able to learn these parameters from historical data. In many cases, such data has uncertainty associated with it, inc
Publikováno v:
INFORMS Journal on Applied Analytics. 49:384-396
The authors developed a system that was based on statistics learned from historical data about technician visits. They combined both structured and unstructured data to create a probabilistic model and then used a novel process in which a semantic mo
Publikováno v:
INFORMS Journal on Applied Analytics. 49:262-268
The authors discuss their development of an innovative process that applies descriptive, predictive, and prescriptive analytics to improve efficiency and reduce costs at wastewater treatment plants.
Publikováno v:
Interfaces. 47:411-424
This work addresses operational management optimization problems in wastewater treatment plants. We developed a novel technology that allows control of such plants, based on real-time sensor readings, with cloud computing at the front end and state-o
Publikováno v:
Annals of Operations Research. 317:313-330
This work considers an operational management optimization of wastewater treatment plants. We present a new, CMDP-based optimization model for this problem, as well as a decomposition algorithm for solving it. From a theoretical perspective, we show
Autor:
Segev Wasserkrug
Publikováno v:
Encyclopedia of Database Systems ISBN: 9781489979933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c43893effe258f0db3478596a649135
https://doi.org/10.1007/978-1-4614-8265-9_581
https://doi.org/10.1007/978-1-4614-8265-9_581
Publikováno v:
Interfaces. 44:509-524
Efficiently managing pressure in a water distribution network is an issue for water utilities worldwide. Utilities must maintain a delicate balance between lowering the pressure as much as possible to reduce water loss and electricity usage, while ke
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 20:1-22
We propose to improve the efficiency of simulation optimization by integrating the notion of optimal computing budget allocation into the Cross-Entropy (CE) method, which is a global optimization search approach that iteratively updates a parameteriz
Publikováno v:
Queueing Systems. 61:305-328
We consider a multi-server queue with K priority classes. In this system, customers of the P highest priorities (P