Results 151 to 160 of about 454,594 (298)
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
A Fuzzy Analytic Hierarchy Process and Cooperative Game Theory Combined Multiple Mobile Robot Navigation Algorithm. [PDF]
Kim C, Won JS.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Von Neumann-Morgenstern solution and convex descompositions of TU games [PDF]
We study under which conditions the core of a game involved in a convex decomposition of another game turns out to be a stable set of the decomposed game.
Carles Rafels, Francesc Llerena
core +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Who will win the ozone game? On building and sustaining cooperation in the Montreal protocoll on substances that deplete the ozone layer [PDF]
This paper presents an analysis of the Montreal Protocol on Substances that Deplete the Ozone Layer. It advances the view that the Developing World did not exploit its relatively strong bargaining position in negotiations over sidepayments and that the ...
Heister, Johannes
core
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
Navigating Nitration Chemistry: A Practical Guide to Reagents, Mechanisms, and Selectivity
This review highlights key contributions of modern nitration chemistry, emphasizing sustainable mechanistic platforms and comparing the performance of both organic and inorganic reagents across aromatic, ipso‐, olefin, alkyne, and heteroatom nitration. It provides the community with a clearer, unified perspective on current advances and facilitates the
Harry Lecomte +2 more
wiley +2 more sources
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source

