Results 231 to 240 of about 56,152 (322)
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
Artificial intelligence-driven kidney organ allocation: systematic review of clinical outcome prediction, ethical frameworks, and decision-making algorithms. [PDF]
Firuzpour F +6 more
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
An Ann Simulation of Single Server with Infinite Capacity Queuing System
Sivakami Sundari M, S. Palaniammal
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
ABSTRACT Objective To develop a clearer understanding of what ‘quality in emergency care’ means from the perspective of patients and families to assist with the development of consumer‐informed measures of quality for emergency care in an Australian setting.
Emma Solly +6 more
wiley +1 more source
Comparing Statistical and Machine Learning Methods for Time Series Forecasting in Data-Driven Logistics-A Simulation Study. [PDF]
Schmid L, Roidl M, Kirchheim A, Pauly M.
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

