Results 141 to 150 of about 89,645 (310)
Persistent Periodic Uplink Scheduling Algorithm for Massive NB-IoT Devices. [PDF]
Wu TY +4 more
europepmc +1 more source
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
The trade-off between stability and makespan in resource-constrained project scheduling. [PDF]
During the last decade, considerable research efforts in the project scheduling literature have concentrated on resource-constrained project scheduling under uncertainty.
Herroelen, Willy +3 more
core +2 more sources
A Two-Workshop Collaborative, Integrated Scheduling Algorithm considering the Prescheduling of the Root-Subtree Processes. [PDF]
Xie Z, Teng H, Ming J, Yue X.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Integrating nurse and surgery scheduling. [PDF]
Scheduling; Surgery scheduling; International; Theory; Applications; Euro; Researchers;
Belien, Jeroen, Demeulemeester, Erik
core
QOGMP: QoS-oriented global multi-path traffic scheduling algorithm in software defined network. [PDF]
Guo Y, Hu G, Shao D.
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Application of genetic algorithms for irrigation water scheduling
A typical irrigation scheduling problem is one of preparing a schedule to service a group of outlets. These outlets may either be serviced sequentially or simultaneously.
Haq, Zia Ul
core

