Results 81 to 90 of about 14,687 (260)
Graph‐based imitation and reinforcement learning for efficient Benders decomposition
AIChE Journal, EarlyView.Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Advanced Intelligent Discovery, EarlyView.Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
E-ManagementUnder the circumstances of the dynamic geopolitical situation, it is becoming increasingly important to develop an effective methodology for assessing fiscal space. Fiscal space formation depends on a number of key factors, including economic development
M. E. Kosov
doaj +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Politics and GovernanceAlthough the past decade has shown how populist governments may challenge the EU’s budgetary framework, we still lack an understanding of the circumstances under which populists are more likely to mobilize against EU-level decision-making in this field ...
Robert Csehi
doaj +1 more source
The problem of budgetary deficit in modern economies [PDF]
Ekonomija: teorija i praksa, 2017 A surplus of expenditure over revenues in the government budget is called a budgetary deficit. Budgetary deficit, in itself, is not a negative thing. If the budgetary deficit allows full employment and helps reaching economic policy goals, there is full ...
Stanulović Milana
doaj
Advanced Intelligent Systems, EarlyView.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
BUDGETARY POLICY OF THE RUSSIAN FEDERATION IN CONDITIONS OF ECONOMIC UNCERTAINTY
Финансы: теория и практика, 2017 In crisis conditions the role of fi scal policy of any state increases because, as a rule, it is the sphere of state and municipal fi nances that provides a resource which enables to give an impetus to the economic revival.
O. A. Polyakova, R. A. Alandarov
doaj