Results 131 to 140 of about 2,565,964 (296)
Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective [PDF]
A call center is a service network in which agents provide telephone-based services. Customers that seek these services are delayed in tele-queues. This paper summarizes an analysis of a unique record of call center operations.
Noah Gans +7 more
core
In this multicenter prospective study of 158 working‐age patients undergoing curative‐intent surgery for gastric or esophageal cancer, 78.5% were working at 18 months. Postoperative appetite loss, financial difficulties, and ≥ 10% weight loss at 6 months were associated with non‐working status.
Kentaro Goto +18 more
wiley +1 more source
Bayesian Modeling of Traffic Accident Rates in Poland Based on Weather Conditions
Road traffic accidents pose a substantial global public health burden, resulting in significant fatalities and economic costs. This study employs Bayesian Poisson regression to model traffic accident rates in Poland, focusing on the intricate ...
Adam Filapek +2 more
doaj +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Maintaining freight wagons is an essential operational process and a significant cost factor for rail transport companies. Analysing detected irregularities in the freight wagons offers distinctive and valuable insights for planned maintenance.
Ömür AKBAYIR +2 more
doaj +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Background & objectives: statistical modeling explicates the observed changes in data by means of mathematics equations. In cases that dependent variable is count, Poisson model is applied.
N Zare +3 more
doaj
Bu çalışmada, sayıma dayalı elde edilen veriler için kullanılan Poisson Regresyon, Poisson Regresyona ait uyum iyiliği testleri, artıklar, katsayıların anlamlılık testleri ayrıca Poisson dağılımına yaklaşım testi ve Poisson Regresyonun bazı özel ...
Körez, M. Kazım
core
Poisson and Hochschild cohomology and the semiclassical limit [PDF]
Let $B$ be a quantum algebra possessing a semiclassical limit $A$. We show that under certain hypotheses $B^e$ can be thought of as a deformation of the Poisson enveloping algebra of $A$, and we give a criterion for the Hochschild cohomology of $B$ to
Towers, Matthew
core

