Results 21 to 30 of about 1,070 (109)

Distributed optimization for multi-agent systems with communication delays and external disturbances under a directed network

open access: yesNonlinear Analysis, 2023
This article studies the distributed optimization problem for multi-agent systems with communication delays and external disturbances in a directed network.
Xuening Xu   +3 more
doaj   +1 more source

Equitable colourings of Borel graphs

open access: yesForum of Mathematics, Pi, 2021
Hajnal and Szemerédi proved that if G is a finite graph with maximum degree $\Delta $ , then for every integer $k \geq \Delta +1$ , G has a proper colouring with k colours in which every two colour classes differ in size at most by $1$ ;
Anton Bernshteyn, Clinton T. Conley
doaj   +1 more source

An Introduction to Time-Constrained Automata [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2010
We present time-constrained automata (TCA), a model for hard real-time computation in which agents behaviors are modeled by automata and constrained by time intervals.
Matthieu Lemerre   +3 more
doaj   +1 more source

Structural and Spectral Properties of Deterministic Aperiodic Optical Structures

open access: yesCrystals, 2016
In this comprehensive paper we have addressed structure-property relationships in a number of representative systems with periodic, random, quasi-periodic and deterministic aperiodic geometry using the interdisciplinary methods of spatial point pattern ...
Luca Dal Negro   +2 more
doaj   +1 more source

A Direct Construction of Inter-Group Complementary Code Set

open access: yesIEEE Access, 2018
Complete complementary codes (CCCs) is a collection of mutually orthogonal complementary codes and Inter-group complementary (IGC) code set consists of multiple disjoint groups of 2-D codes.
Palash Sarkar   +3 more
doaj   +1 more source

Asymptotic -Algebras from -Actions on Higher Rank Graphs

open access: yesAbstract and Applied Analysis, 2013
For a dynamical system arising from -action on a higher rank graph with finite vertex set, we show that the semidirect product of the asymptotic equivalence relation groupoid is essentially principal if and only if the -graph satisfies the aperiodic ...
Inhyeop Yi
doaj   +1 more source

Evaluation of Acupuncture Efficacy in Modulating Brain Activity With Periodic-Aperiodic EEG Measurements

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering
Acupuncture is an important therapeutic method of traditional Chinese medicine and can effectively modulate brain disorders. The therapeutic efficacy of acupuncture is hard to evaluate due to lacking of effective measurements of brain activity.
Haitao Yu   +6 more
doaj   +1 more source

Enhancing the Photocatalytic Performance of Carbon Nitrides Through Controlled Local Structure Modification

open access: yesAdvanced Functional Materials, EarlyView.
This work utilizes poly(heptazine imides) as a model system to demonstrate how fine‐tuning the crystal structure influences the photocatalytic properties of layered carbon nitrides in the hydrogen evolution reaction. In particular, the nature of rotational defects and the hydration shell of cations are key contributors to enhanced hydrogen evolution ...
Diana V. Piankova   +11 more
wiley   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

open access: yesAdvanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman   +3 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy