Results 61 to 70 of about 33,611 (226)
EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes
Droplet, EarlyView.We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang +9 more
wiley +1 more source
Heavy-Traffic Limits for a Many-Server Queueing Network with Switchover [PDF]
Advances in Applied Probability, 2013 We study a multiclass Markovian queueing network with switchover across a set of many-server stations. New arrivals to each station follow a nonstationary Poisson process. Each job waiting in queue may, after some exponentially distributed patience time, switch over to another station or leave the network following a probabilistic and state-dependent ...
Pang, Guodong, Yao, David D.
openaire +2 more sources
Environmental Policy and Governance, EarlyView.ABSTRACT Increasing electricity demand from data centres, industrial applications, electric vehicles and domestic heating is creating pressure to develop electricity systems in many parts of the world, but especially in Western countries. In response to challenges such as grid congestion, interconnection queues and climate‐related hazards, network ...
Jussi Valta +3 more
wiley +1 more source
Queueing systems with many servers: Null controllability in heavy traffic
The Annals of Applied Probability, 2006 Published at http://dx.doi.org/10.1214/105051606000000358 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Atar, Rami +2 more
openaire +4 more sources
Energy Science &Engineering, EarlyView.Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga +6 more
wiley +1 more source
Energy Science &Engineering, EarlyView.A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan +4 more
wiley +1 more source
Decision Threshold Setting in Binary Classification Problems—A Behavioral Lens
Journal of Operations Management, EarlyView.ABSTRACT When binary classification models are wrong, managers face misclassification costs. Although false positive outcomes imply unnecessary mitigation efforts, false negative outcomes imply overlooking the class of interest. Humans calibrate these ai models supporting operational systems by adjusting the decision threshold that translates ...
Patrick Moder, Kai Hoberg, Felix Papier
wiley +1 more source
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
Living Well With Type 1 Diabetes in Middle School: A Student‐Centered Perspective
Psychology in the Schools, EarlyView.ABSTRACT Type 1 diabetes (T1D) is among the most common chronic illnesses affecting children and adolescents, meaning that all schools regularly include students with T1D. Supporting their well‐being requires understanding how they experience middle school to address their specific needs.
Isabelle Joing +4 more
wiley +1 more source
Achieving Optimal Throughput and Near-Optimal Asymptotic Delay Performance in Multi-Channel Wireless Networks with Low Complexity: A Practical Greedy Scheduling Policy [PDF]
, 2014 In this paper, we focus on the scheduling problem in multi-channel wireless networks, e.g., the downlink of a single cell in fourth generation (4G) OFDM-based cellular networks.
Gupta, Gagan R. +4 more
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