Results 61 to 70 of about 2,827,333 (249)
Existing optimal scheduling methods cannot cover all unanticipated scenarios. To overcome this limitation, this paper proposes an optimal day-ahead scheduling method that considers extreme, unanticipated and dynamic-temporal scenarios.
SUN Junjie +5 more
doaj +1 more source
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling +2 more
wiley +1 more source
Optimal Uniform-like Scheduling of Maintenance
The algorithm for the optimal scheduling of work performance is suggested. The every work’s maintenance cannot be interrupted and it has an acceptable interval to be performed. The maintenance resources are limited.
Yakov Genis, Igor Ushakov
doaj +1 more source
Group Elevator Peak Scheduling Based on Robust Optimization Model
Scheduling of Elevator Group Control System (EGCS) is a typical combinatorial optimization problem. Uncertain group scheduling under peak traffic flows has become a research focus and difficulty recently.
ZHANG, J., ZONG, Q.
doaj +1 more source
An optimal boundary fair scheduling [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Geoffrey Nelissen +5 more
openaire +4 more sources
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
To cope with the challenges due to increasing peak load, an optimal day-ahead scheduling problem for social welfare maximization is proposed, in which not only the comfort level of consumers and costs of power suppliers but also the power losses in ...
Xiong Hu, Zhi-Wei Liu
doaj +1 more source
Q-Learning Based Scheduling With Successive Interference Cancellation
This work studies the problem of scheduling using Q-learning, which is a reinforcement learning algorithm, in a Successive Interference Cancellation (SIC) - enabled wireless ad hoc network. Distributed Q-learning algorithm tries to find the best schedule
Ezgi Mete, Tolga Girici
doaj +1 more source
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
For the issues that the existing task scheduling scheme based on intelligent algorithms can’t obtain the optimal solution in cloud computing and inspired by nature symbiosis,a new task scheduling scheme based on improved particle swarm optimization(PSO ...
Linjie WANG
doaj +2 more sources

