Results 21 to 30 of about 2,230,806 (368)

Scheduling Policies for Federated Learning in Wireless Networks [PDF]

open access: yesIEEE Transactions on Communications, 2019
Motivated by the increasing computational capacity of wireless user equipments (UEs), e.g., smart phones, tablets, or vehicles, as well as the increasing concerns about sharing private data, a new machine learning model has emerged, namely federated ...
Howard H. Yang   +3 more
semanticscholar   +1 more source

A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective

open access: yesIEEE Access, 2019
One contemporary policy to deal with traffic congestion is the design and implementation of forecasting methods that allow users to plan ahead of time and decision makers to improve traffic management.
Juan S. Angarita-Zapata   +2 more
doaj   +1 more source

New Entropy-Based Similarity Measure between Interval-Valued Intuitionstic Fuzzy Sets

open access: yesAxioms, 2019
In this paper, we propose a new approach to constructing similarity measures using the entropy measure for Interval-Valued Intuitionistic Fuzzy Sets. In addition, we provide several illustrative examples to demonstrate the practicality and effectiveness ...
Saida S. Mohamed   +2 more
doaj   +1 more source

Fast divide-and-conquer algorithms for preemptive scheduling problems with controllable processing times – A polymatroid optimization approach [PDF]

open access: yes, 2008
We consider a variety of preemptive scheduling problems with controllable processing times on a single machine and on identical/uniform parallel machines, where the objective is to minimize the total compression cost.
A. Federgruen   +20 more
core   +1 more source

Scheduling with Outliers [PDF]

open access: yes, 2009
In classical scheduling problems, we are given jobs and machines, and have to schedule all the jobs to minimize some objective function. What if each job has a specified profit, and we are no longer required to process all jobs? Instead, we can schedule any subset of jobs whose total profit is at least a (hard) target profit requirement, while still ...
Anupam Gupta   +3 more
openaire   +2 more sources

Sales-Based Models for Resource Management and Scheduling in Artificial Intelligence Systems

open access: yesEngineering Proceedings, 2023
Recent trends have shown a greatly increasing number of users in the digital world, so there is a need for a large number of resources. To handle these resources, there is the need to manage and schedule in an optimized manner using artificial ...
Deepak Dudeja   +5 more
doaj   +1 more source

Controlling understaffing with conditional Value-at-Risk constraint for an integrated nurse scheduling problem under patient demand uncertainty

open access: yesOperations Research Perspectives, 2019
Nursing workforce management is a challenging decision-making task in hospitals. The decisions are made across different timescales and levels from strategic long-term staffing budget to mid-term scheduling.
Fang He, Thierry Chaussalet, Rong Qu
doaj   +1 more source

Scheduling problems [PDF]

open access: yesJournal of Combinatorial Theory, Series A, 2016
We introduce the notion of a scheduling problem which is a boolean function $S$ over atomic formulas of the form $x_i \leq x_j$. Considering the $x_i$ as jobs to be performed, an integer assignment satisfying $S$ schedules the jobs subject to the constraints of the atomic formulas. The scheduling counting function counts the number of solutions to $S$.
Caroline J. Klivans, Felix Breuer
openaire   +2 more sources

Acquisition and validation of expert knowledge for high-mix and low-volume production scheduling problems

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2023
The application of a cyber physical system (CPS) in a production system to improve the efficiency and effectiveness of its operation is called a cyber physical production system (CPPS).
Shinsuke KONDOH   +3 more
doaj   +1 more source

A family of heuristics for agent-based elastic Cloud bag-of-tasks concurrent scheduling [PDF]

open access: yes, 2013
The scheduling and execution of bag-of-tasks applications (BoTs) in Clouds is performed on sets of virtualized Cloud resources that start being exhausted right after their allocation disregarding whether tasks are being executed. In addition, BoTs may be
Gutierrez-Garcia, J. Octavio   +1 more
core   +1 more source

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