Results 31 to 40 of about 51,927 (171)

A set oriented approach to global optimal control [PDF]

open access: yes, 2002
We describe an algorithm for computing the value function for 'all source, single destination' discrete-time nonlinear optimal control problems together with approximations of associated globally optimal control strategies.
Junge, O, Osinga, Hinke M
core  

On the complexity of computing the $k$-restricted edge-connectivity of a graph

open access: yes, 2016
The \emph{$k$-restricted edge-connectivity} of a graph $G$, denoted by $\lambda_k(G)$, is defined as the minimum size of an edge set whose removal leaves exactly two connected components each containing at least $k$ vertices.
A Holtkamp   +20 more
core   +1 more source

Improved Disorder Resilience in Small‐Footprint Photonic Cavities with Periodicity Breaking

open access: yesAdvanced Optical Materials, EarlyView.
Compact photonic crystal cavities with engineered aperiodicity are demonstrated to sustain high quality factormodes and enhanced reproducibility within a minimal footprint. Combining numerical optimization and near‐field measurements, the study reveals how controlled periodicity breaking improves disorder resilience, offering a robust and scalable ...
Nicoletta Granchi   +7 more
wiley   +1 more source

Optimal Kullback-Leibler Aggregation via Information Bottleneck

open access: yes, 2015
In this paper, we present a method for reducing a regular, discrete-time Markov chain (DTMC) to another DTMC with a given, typically much smaller number of states.
Geiger, Bernhard C.   +3 more
core   +1 more source

Organic Light‐Emitting Diode in Phototherapy Applications

open access: yesAdvanced Photonics Research, EarlyView.
This article systematically reviews the development of organic light‐emitting diodes (OLEDs) in phototherapy, constructs a technical framework, and establishes a multidimensional knowledge graph encompassing indications, wavelengths, and light intensity.
Yingguang Zhu   +9 more
wiley   +1 more source

Deep Learning Approach for Predicting Efficiency in Organic Photovoltaics from 2D Molecular Images of D/A Pairs

open access: yesAdvanced Theory and Simulations, EarlyView.
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa   +2 more
wiley   +1 more source

Proceedings of International Workshop "Global Computing: Programming Environments, Languages, Security and Analysis of Systems" [PDF]

open access: yes, 2003
According to the IST/ FET proactive initiative on GLOBAL COMPUTING, the goal is to obtain techniques (models, frameworks, methods, algorithms) for constructing systems that are flexible, dependable, secure, robust and efficient.
Priami, Corrado (eds.)
core  

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

open access: yesAdvanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su   +14 more
wiley   +1 more source

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

open access: yesAdvanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao   +4 more
wiley   +1 more source

Subvoxel Control of Fiber Orientation via Multidirectional Shearing in 3D Printing

open access: yesAdvanced Science, EarlyView.
A novel 3D printing technique enables subvoxel control of fiber orientation in all three directions through multidirectional shearing using nozzle rotation and inclination. It allows localized and tunable mechanical and thermal responses through programmable microstructures within a strand.
Berin Šeta   +5 more
wiley   +1 more source

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