Results 41 to 50 of about 184 (123)
On the Queue Length Distribution in BMAP Systems
Journal of Communications Software and Systems, 2006 Batch Markovian Arrival Process – BMAP – is a teletraffic model which combines high ability to imitate complexstatistical behaviour of network traces with relative simplicity in analysis and simulation.
Andrzej Chydzinski
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A Pincherle‐Type Convergence Theorem for Generalized Continued Fractions in Banach Algebras
Journal of Applied Mathematics, Volume 2026, Issue 1, 2026.This contribution is dedicated to the interdependence of higher order linear difference equations and generalized continued fractions in Banach algebras. It turns out that the computation of certain subdominant solutions of a higher order linear difference equation can be done more efficiently by considering its adjoint equation.
Hendrik Baumann +2 more
wiley +1 more source
The On‐Demand Warehousing Problem: A Taxonomic Review
Journal of Engineering, Volume 2026, Issue 1, 2026.The on‐demand warehousing problem (ODWP) has gained increasing attention in supply chain and operations research as firms seek more flexible and responsive storage solutions. This paper provides a taxonomic review of ODWP‐related studies published between 1999 and 2025, tracing key milestones in the development of the field and positioning the present ...
Shrouq Gamal +4 more
wiley +1 more source
Aggregate, Volume 6, Issue 12, December 2025.GraphVAMPnet, a graph neural network–based deep learning framework, successfully overcomes the permutation challenge in analyzing molecular dynamics trajectories of self‐assembly of PtB complexes. It accurately identifies three slow collective variables and reveals two competing kinetic pathways—incremental and hopping growth—governing Pt(II ...
Zige Liu +3 more
wiley +1 more source
Quantum‐Noise‐Driven Generative Diffusion Models
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.Diffusion Models (DMs) are today a very popular class of generative models for Machine Learning (ML), using a noisy dynamics to learn an unknown density probability of a finite set of samples in order to generate new synthetic data. This study proposes a method to generalize them into the quantum domain by introducing and investigating what are termed ...
Marco Parigi +2 more
wiley +1 more source
Virtual Sensing of Wind Turbine Loads With Multi‐Hidden Markov Models for Above‐Rated Wind Speeds
Wind Energy, Volume 28, Issue 12, December 2025.ABSTRACT The growing demand for wind energy necessitates efficient health monitoring strategies to ensure the long‐term reliability of wind turbines. Monitoring critical loads, such as flapwise blade root moments and tower base fore‐aft moments, is crucial for preventing turbine fatigue and failure. However, direct measurements through physical sensors
A. Hassan +5 more
wiley +1 more source
A Survey on Reinforcement Learning for Optimal Decision‐Making and Control of Intelligent Vehicles
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1593-1615, December 2025.ABSTRACT Reinforcement learning (RL) has been widely studied as an efficient class of machine learning methods for adaptive optimal control under uncertainties. In recent years, the applications of RL in optimised decision‐making and motion control of intelligent vehicles have received increasing attention.
Yixing Lan +5 more
wiley +1 more source
Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 31, Page 6622-6637, 29 December 2025.Abstract Concrete mesostructure modeling is critical for simulation‐driven material design, as it directly influences the accuracy of mechanical and durability analyses. However, conventional methods such as computed tomography–based reconstruction and aggregate sequential placement suffer from low efficiency and limited controllability.
Juntong Zhang +4 more
wiley +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
Advanced Intelligent Systems, Volume 7, Issue 10, October 2025.This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen +4 more
wiley +1 more source
Novel Queueing Model for Multimedia Over Downlink in 3.5G Wireless Network
Journal of Communications Software and Systems, 2006 In this paper, a model for multimedia transmission over downlink shared channel in 3.5G wireless network is presented. The multimedia stream consists of multiplesubstreams that are aggregated into one real-time and onenonreal-time flows. Correlation with
Khalid Al-Begain +2 more
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