Results 21 to 30 of about 11,394,808 (84)

Analysis of an MMAP/PH1, PH2/N/∞ queueing system operating in a random environment

International Journal of Applied Mathematics and Computer Science, 2014
A multi-server queueing system with two types of customers and an infinite buffer operating in a random environment as a model of a contact center is investigated. The arrival flow of customers is described by a marked Markovian arrival process.
Kim Chesoong, Dudin Alexander, Dudin Sergey, Dudina Olga   +3 more
doaj   +1 more source

On identifiability of MAP processes [PDF]

, 2008
Two types of transitions can be found in the Markovian Arrival process or MAP: with and without arrivals. In transient transitions the chain jumps from one state to another with no arrival; in effective transitions, a single arrival occurs.
Lillo Rodríguez, Rosa Elvira, Ramírez Cobo, Josefa, Wiper, Michael Peter   +2 more
core   +1 more source

A Queueing System with Heterogeneous Impatient Customers and Consumable Additional Items

International Journal of Applied Mathematics and Computer Science, 2017
A single-server queueing system with a marked Markovian arrival process of heterogeneous customers is considered. Type-1 customers have limited preemptive priority over type-2 customers.
Baek Janghyun, Dudina Olga, Kim Chesoong
doaj   +1 more source

Markovian Arrival Processes

, 2010
Marked point processes (MPP\u27s) play an important role in stochastic modeling. A special class of MPP\u27s is the Markovian Arrival Process (MAP). In this section we will review the concepts, including the history of MAP both in continuous time and in ...
Srinivas R. Chakravarthy, Chakravarthy, Srinivas R.   +1 more
core   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

Few‐Photon Fluorescence From Ultracold Bosons in an Optical Cavity

Contributions to Plasma Physics, EarlyView.
ABSTRACT Within a cavity quantum electrodynamics framework, we analyse the fluorescent spectrum of ultracold bosons in resonant and second‐harmonic generation (SHG) regimes. Two settings are considered: (i) (few) bosons in an optical lattice and (ii) a trapped two‐component dilute Bose–Einstein condensate (2BEC) within the Bogoliubov scheme.
Megha Gopalakrishna, Emil Viñas Boström, Claudio Verdozzi   +2 more
wiley   +1 more source

Responses of Antarctic seabird populations to past climate change

Ecography, EarlyView.
Higher‐order predators such as Antarctic seabirds serve as ecological indicators of environmental change and provide a crucial trophic link between marine and terrestrial ecosystems. Despite their prevalence and significance in the Antarctic ecosystem, there is a lack of understanding of the impacts of major regime shifts in paleoclimate on flighted ...
Elize Y. X. Ng, Louise Emmerson, Barbara Wienecke, Fabiola León Miranda, Colin Southwell, Juliana A. Vianna, Christopher P. Burridge   +6 more
wiley   +1 more source

Forecasting Duration in High‐Frequency Financial Data Using a Self‐Exciting Flexible Residual Point Process

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a method for forecasting limit order book durations using a self‐exciting flexible residual point process. High‐frequency events in modern exchanges exhibit heavy‐tailed interarrival times, posing a significant challenge for accurate prediction.
Kyungsub Lee
wiley   +1 more source

On Markovian modelling of arrival processes

, 2020
Markovian arrival process (MAP) is a popular tool for modeling arrival processes of stochastic systems such as queueing systems, reliability systems and telecommunications networks.
Naumov V., Basharin G., Samouylov K.
core   +2 more sources

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source