Results 21 to 30 of about 2,230,806 (368)
Scheduling Policies for Federated Learning in Wireless Networks [PDF]
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
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
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]
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]
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
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
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
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
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]
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