Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Sergey Zeltyn"'
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:
Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum ISBN: 9783031161674
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18d6b5284c6c14ec8ad737f59436bf8b
https://doi.org/10.1007/978-3-031-16168-1_14
https://doi.org/10.1007/978-3-031-16168-1_14
Autor:
Sergey Zeltyn, Avi Yaeli
Publikováno v:
2021 IEEE Visualization Conference (VIS).
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:
Sara Tzafrir, Tirza Lauterman, Avraham Shtub, Ohad Greenshpan, Avishai Mandelbaum, Sergey Zeltyn, Boaz Carmeli, Pnina Vortman, Dagan Schwartz, Yossi Mesika, Kobi Moskovitch, Sergev Wasserkrug, Yariv N. Marmor, Fuad Basis
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 21:1-25
The Emergency Department (ED) of a modern hospital is a highly complex system that gives rise to numerous managerial challenges. It spans the full spectrum of operational, clinical, and financial perspectives, over varying horizons: operational—a f
Autor:
Sergey Zeltyn, Avishai Mandelbaum
Publikováno v:
INFORMS Transactions on Education. 11:3-19
In this exposition, we discuss empirically based teaching in the newly emerging field of “service engineering.” Specifically, we survey a service engineering course, taught at the Technion–Israel Institute of Technology. The course was “born
Autor:
Avishai Mandelbaum, Sergey Zeltyn
Publikováno v:
Operations Research. 57:1189-1205
Motivated by call center practice, we study asymptotically optimal staffing of many-server queues with abandonment. A call center is modelled as an M/M/n + G queue, which is characterized by Poisson arrivals, exponential service times, n servers, and