Results 91 to 100 of about 2,678,131 (290)

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source

Technical wildness: Modernity, romanticism, and the technocratic turn in Scottish rewilding

People and Nature, EarlyView.
Abstract Technical wildness is a new and increasingly influential culture of nature. This paper marks its emergence in Scotland in the early 2020s. Focusing on Scotland's rapidly evolving land management sector, the paper traces how private rewilding companies position science‐led land management and natural capital markets as the most effective ...
Theo Stanley
wiley   +1 more source

Guaranteed Real-Time Communication in Packet-Switched Networks with FCFS Queuing

, 2009
In this paper, we propose a feasibility analysis of periodic hard real-time traffic in packet-switched networks using first come first served (FCFS) queuing but no traffic shapers.
Fan, Xing,, Jonsson, Jan,, Jonsson, Magnus,   +2 more
core   +2 more sources

On the allocation of commodities by queuing and the prevention of violence [PDF]

In times of acute scarcity, demand for a commodity greatly exceeds its supply. In such situations, queuing mechanisms are frequently used to allocate scarce goods to citizens.
Amitrajeet Batabyal
core  

Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide

The Journal of Pathology, EarlyView.
Abstract The implementation of digital pathology (DP) has been reported across academic, public, and private laboratory settings, providing valuable insights into workflow transformation. However, comparatively little guidance exists on how DP systems should be evaluated prior to acquisition and deployment.
Diana Montezuma, Vincenzo L'Imperio, David Ameisen, Rita Carvalho, Peter Boor, Sara P Oliveira, Nadieh Khalili, Inti Zlobec, Norman Zerbe, Jordi Temprana‐Salvador   +9 more
wiley   +1 more source

Periodic dynamics in queuing networks

, 2009
This paper deals with state-dependent open Markovian (or exponential) queuing networks, for which arrival and service rates, as well as routing probabilities, may depend on the queue lengths.
Tommaso Addabbo, Ljupco Kocarev, ADDABBO, TOMMASO, Kocarev L.   +3 more
core   +1 more source

Lightning electromagnetic emission location using arrival time differencing (LEELA): An introduction to the Met Office's next generation Very Low Frequency lightning location system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This paper describes the Met Office's new lightning location system LEELA. A brief overview of the upgraded hardware and geolocation algorithms is given. LEELA has improved lightning detection capabilities, especially at night. When comparing LEELA to the previous ATDnet system against ground truths LEELA has 100% storm detection efficiency within 5 km
Graeme Marlton, Mike Protts, Stephen Prust, Edmund Keith Stone, Debbie O'Sullivan, Sue Twelves, Francesco Devoto, Claire Witham   +7 more
wiley   +1 more source

Beyond Initial Adoption: How Lean Six Sigma Is Sustained, Adapted, and Used in the U.S. Textile and Apparel Industry

Quality and Reliability Engineering International, EarlyView.
ABSTRACT This study examines how Lean Six Sigma (LSS) currently functions in the U.S. textile and apparel industry after years of adoption and use. Moving beyond isolated project‐level evidence, this study investigates whether LSS has been implemented as an organizational capability and integrated into the corporate culture, adapted to textile‐specific
Alireza Vahedi Fakhr, A. Blanton Godfrey, Warren J. Jasper   +2 more
wiley   +1 more source

Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth, Thomas Jerkovits, Anupama Hegde, Thomas Delamotte, Andreas Knopp   +4 more
wiley   +1 more source

Dynamic Cell Division for Interference Management in Satellite Direct‐to‐Cell Systems

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Direct‐to‐cell (D2C) connectivity enables future non‐terrestrial networks to provide service directly to standard terrestrial user equipment (UE) when terrestrial networks (TN) are unavailable. In this work, the satellite system is considered as a secondary network that supplements existing TN coverage while minimizing interference to the ...
Satya Chan, Hee Wook Kim, Bon‐Jun Ku, Daesub Oh   +3 more
wiley   +1 more source