Results 31 to 40 of about 51,927 (171)
A set oriented approach to global optimal control [PDF]
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
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
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
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
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
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]
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
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
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
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

