New Policies Exploiting Randomness of Lead Times in Inventory Systems
ABSTRACT Recent research provided proof‐of‐concept that the randomness of lead times in inventory systems can be exploited to achieve large—potentially unlimited—performance improvements, compared to the case of constant lead time. Specifically, the Generalized Base Stock (GBS) policy serves as such proof‐of‐concept—it can deliver unlimited ...
Alexander L. Stolyar +2 more
wiley +1 more source
Optimizing speed change lane lengths for two-way ten-lane expressways: a VISSIM and SSAM simulation-based approach. [PDF]
Xiong D, Yu Q, Guo H.
europepmc +1 more source
ProteinDJ: A high‐performance and modular protein design pipeline
Abstract Leveraging artificial intelligence and deep learning to generate proteins de novo (a.k.a. ‘synthetic proteins’) has unlocked new frontiers of protein design. Deep learning models trained on protein structures can generate novel protein designs that explore structural landscapes unseen by evolution.
Dylan Silke +6 more
wiley +1 more source
Task Offloading and Resource Allocation Strategy in Non-Terrestrial Networks for Continuous Distributed Task Scenarios. [PDF]
Qi Y, Du Y, Guo Y, Hao J.
europepmc +1 more source
The number of overlapping customers in Erlang-A queues: an asymptotic approach [PDF]
Jamol Pender, Young Myoung Ko, Jin Xu
openalex +1 more source
Rally‐Round‐the‐Flag: The Case of COVID‐19 in Denmark
ABSTRACT Rally‐round‐the‐flag describes a situation where voters rally behind their government and leader in the fight against an external enemy. The COVID‐19 pandemic was such an external enemy and Danish voters responded immediately with an increased support of about seven percentage points for the government and a significant 33 percentage points ...
Kasper M. Hansen
wiley +1 more source
Self-supervised learning with a contrastive VideoMoCo framework for Saudi Arabic sign language recognition using 3D convolutional networks. [PDF]
Rokaya M +4 more
europepmc +1 more source
Personalized Persuasive Recommender System: A Framework and a Machine Learning‐Based Implementation
ABSTRACT Since the emergence of Recommender Systems (RS), most of the research has focused on improving the accuracy of a recommender system. However, the literature has demonstrated increasing evidence that it is vital for a recommender system to focus not only on the accuracy of the provided recommendations but also on other factors that influence ...
Alslaity Alaa, Thomas Tran
wiley +1 more source
A autophagy related gene signature to predict the prognosis of pancreatic carcinoma and tumor immune microenvironment evaluation. [PDF]
Wang X, Wang X, Ying B.
europepmc +1 more source

