Results 21 to 30 of about 672 (82)

On Parallel and Serial (Dis‐)Aggregation in System Dynamics Models

System Dynamics Review, Volume 42, Issue 2, April/June 2026.
ABSTRACT Compartment models are widely used in system dynamics to analyze complex systems. However, determining an appropriate level of aggregation remains a methodological challenge. This paper explores how parallel and serial (dis‐)aggregation affect a model's ability to reproduce dynamics of interest, using the beer distribution game (BDG) as a case
Christian Marchetti, Andreas Größler
wiley   +1 more source

Automated Computation of Autonomous Spectral Submanifolds for Nonlinear Modal Analysis

, 2018
We discuss an automated computational methodology for computing two-dimensional spectral submanifolds (SSMs) in autonomous nonlinear mechanical systems of arbitrary degrees of freedom.
Haller, George, Pedergnana, Tiemo, Ponsioen, Sten   +2 more
core   +1 more source

Large Language Models as Calibration Agents in Hydrological Modeling: Feasibility and Limitations

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Large language models (LLMs) represent the forefront of artificial intelligence, exhibiting substantial potential for advancing understanding and reasoning in complex Earth system sciences. Hydrological modeling, essential for water resource management and Earth system knowledge, predominantly relies on traditional calibration paradigms and ...
Zhanliang Zhu, Yehai Tang, Xiongpeng Tang, Jianyun Zhang, Chao Gao, Silong Zhang, Haoting Xu, Tiesheng Guan   +7 more
wiley   +1 more source

Energy Management for Low‐Carbon Distribution System With Smart Building Prosumers and EVs Interaction

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a multi‐level, multi‐objective energy management framework for low‐carbon distribution systems with smart building prosumers and electric vehicles. The proposed risk‐averse optimisation approach improves cost efficiency, reduces emissions, and enhances system stability under renewable generation uncertainties.
Armin Mohajeri Avval, Abdolmajid Dejamkhooy   +1 more
wiley   +1 more source

Minimum‐Peak‐Cost Flows Over Time

Networks, Volume 86, Issue 4, Page 389-401, December 2025.
ABSTRACT Peak cost is a novel objective for flows over time that describes the amount of workforce necessary to run a system. We focus on minimizing peak costs in the context of maximum temporally repeated flows and formulate the corresponding MPC‐MTRF problem.
Mariia Anapolska, Emma Ahrens, Christina Büsing, Felix Engelhardt, Timo Gersing, Corinna Mathwieser, Sabrina Schmitz, Sophia Wrede   +7 more
wiley   +1 more source

Multi‐Objective Reinforcement Learning for Automated Resilient Cyber Defence

Applied AI Letters, Volume 6, Issue 3, October 2025.
Autonomous Cyber Defence agents were trained using multi‐objective reinforcement learning to defend a computer network against red‐agent attack, trading off network security and service availability. A Pareto Front was established (lower left), which shows the trade off between accessing network services (green) and defending against compromised ...
Ross O'Driscoll, Claudia Hagen, Joe Bater, James Adams   +3 more
wiley   +1 more source

Markovian Dynamics on Complex Reaction Networks [PDF]

, 2012
Complex networks, comprised of individual elements that interact with each other through reaction channels, are ubiquitous across many scientific and engineering disciplines.
Abou-Kandil, Abramov, Aldous, Anderson, Anderson, Anderson, Andrieux, Andrieux, Antal, Ao, Ao, Artyomov, Artyomov, Auger, Bailey, Bailey, Bailey, Ball, Bandyopadhyay, Barabási, Bartholomay, Bartholomay, Bartholomay, Bartlett, Bartlett, Bartlett, Bascompte, Bascompte, Ben-Zion, Benayoun, Bishop, Black, Black, Blake, Bois, Borgatti, Bostani, Boustani, Boys, Bressloff, Bressloff, Brunton, Buice, Buice, Cai, Cai, Cai, Cao, Cao, Cao, Cao, Cao, Chaouiya, Chatterjee, Chatterjee, Chen, Chevalier, Chevalier, Cohn, Colquhoun, Cook, Cotter, Cover, Cowan, Crampin, Crudu, Daigle, Daigle, Dandach, Darvey, Datta, Dauxois, de la Lama, Delbrück, Demirel, Deuflhard, DeVille, Diaz, Diestel, Dill, Dilão, E, E, Ehrhardt, Elf, Elf, Elowitz, Engblom, Esposito, Esposito, Ferm, Freeman, G. Jenkinson, Gadgil, Gang, Gardiner, Gaspard, Ge, Ge, Ge., Gibson, Gillespie, Gillespie, Gillespie, Gillespie, Gillespie, Gillespie, Gillespie, Gillespie, Gillespie, Gillespie, Gillespie, Gillespie, Golightly, Golightly, Goss, Goutsias, Goutsias, Goutsias, Grima, Grima, Grima, Grima, Grima, Grima, Gross, Gross, Gunawan, Gómez-Uribe, Gómez-Uribe, Haas, Haddad, Haken, Haken, Han, Han, Harris, Harris, Haseltine, Haseltine, Haskey, Hasty, Hayot, Hegland, Hegland, Heiner, Heinrich, Hellander, Hellander, Hethcote, Heuett, Hiebeler, Higham, Hill, Hill, Holme, Hänggi, Ishida, Ishida, Isserlis, J. Goutsias, Jahnke, Jahnke, Jahnke, Jahnke, Jenkinson, Jenkinson, Jenkinson, Jenkinson, Jiang, Kang, Kapur, Keeling, Keeling, Keeling, Keizer, Kepler, Kim, Kim, Kim, Kiss, Klamt, Komorowski, Komorowski, Krishnarajah, Krishnarajan, Kurtz, Kurtz, Kurtz, Kuwahara, Lafuerza, Lapidus, Laurenzi, Lee, Leonard, Li, Liebermeister, Lipshtat, Liu, Lu, Luo, Lässig, Macheras, Macnamara, Magnasco, Mansour, Maria, Mastny, Masuda, Matis, Matis, Mcadams, McCollum, Mckane, Mckane, Mcquarrie, Mcquarrie, Mcquarrie, Mead, Milner, Mjolsness, Mohammad-Djafari, Moler, Moles, Moran, Moreno, Mou, Munsky, Munsky, Munsky, Murrell, Mélykúti, Newman, Newman, Nicolis, Nåsell, Nåsell, Ohira, Oono, Orendorff, Pahlajani, Peleš, Peng, Pettigrew, Pigolotti, Plyasunov, Poovathingal, Powell, Press, Prigogine, Puchałka, Puglisi, Qian, Qian, Qian, Qian, Qian, Ramaswamy, Ramaswamy, Rao, Rao, Rathinam, Rathinam, Rathinam, Reddy, Reinker, Ren, Renshaw, Renshaw, Roh, Ross, Ross, Ross, Ross, Ruess, Salis, Saltelli, Saltelli, Samant, Samoilov, Sanft, Santillán, Schlögl, Schmiedl, Schnakenberg, Scott, Seifert, Sidje, Sidje, Singer, Singh, Singh, Sinitsyn, Skoulakis, Slepoy, Soula, Spall, Srivastava, Srivastava, Stewart, Szabo, Tao, Thakur, Thattai, Thomas, Thomas, Thébault, Tian, Tomioka, Tomita, Turcotte, Ullah, van den Broeck, van Kampen, van Kampen, van Kampen, van Kampen, Varma, Vellela, Vellela, Wallace, Wang, Wang, Wang, Wang, Wang, Wang, Warren, Weidlich, Weidlich, Weidlich, Weidlich, Whittle, Wolf, Wolf, Wu, Xi, Xu, Xu, Yang, Yi, Youssef, Yuan, Zanette, Zeron, Zhang, Zhang, Zhang, Zhang, Zhang, Zhang, Zhang, Zheng, Zhou, Zhou   +354 more
core   +1 more source

Mean‐field limit of non‐exchangeable systems

Communications on Pure and Applied Mathematics, Volume 78, Issue 4, Page 651-741, April 2025.
Abstract This paper deals with the derivation of the mean‐field limit for multi‐agent systems on a large class of sparse graphs. More specifically, the case of non‐exchangeable multi‐agent systems consisting of non‐identical agents is addressed. The analysis does not only involve PDEs and stochastic analysis but also graph theory through a new concept ...
Pierre‐Emmanuel Jabin, David Poyato, Juan Soler   +2 more
wiley   +1 more source

Access Point Selection and Localization for Cluster‐Based Realization of a Device‐to‐Device Cell‐Free 6G Communications Network

IET Communications, Volume 19, Issue 1, January/December 2025.
We introduce a fully distributed framework that leverages belief‐desire‐intention extended (BDIx) agents on user devices to perform dynamic clustering and access‐point selection in a cell‐free 6G network, using both classical and deep‐learning methods for deterministic, scalable AP grouping.
Iakovos Ioannou, Marios Raspopoulos, Prabagarane Nagaradjane, Christophoros Christophorou, Andreas Gregoriades, Vasos Vassiliou   +5 more
wiley   +1 more source

On the smooth Whitney fibering conjecture

Journal of the London Mathematical Society, Volume 110, Issue 6, December 2024.
Abstract We improve upon the first Thom–Mather isotopy theorem for Whitney stratified sets. In particular, for the more general Bekka stratified sets we show that there is a local foliated structure with continuously varying tangent spaces, thus proving the smooth version of the Whitney fibering conjecture.
C. Murolo, A. du Plessis, D. J. A. Trotman   +2 more
wiley   +1 more source