Results 21 to 30 of about 34,520,301 (258)
State Space Model Predictive Control of a Multi Stage Electro-metallurgical Process [PDF]
Modeling, Identification and Control, 1989 The paper deals with the proposed application of a novel technique for Model Predictive Control to a multistage electrometallurgical process. The novel control technique is based upon high speed repetitive simulation of a non-linear state space model of ...
Jens G. Balchen +2 more
doaj +1 more source
IEEE Access, 2023 Multiple state variables governed by internal processes within the human body remain unobserved. On a number of occasions, these states are linked to point process bioelectric and biochemical observations coupled together with continuous-valued variables.
Dilranjan S. Wickramasuriya +3 more
doaj +1 more source
Graph Mamba: Towards Learning on Graphs with State Space Models [PDF]
Knowledge Discovery and Data MiningGraph Neural Networks (GNNs) have shown promising potential in graph representation learning. The majority of GNNs define a local message-passing mechanism, propagating information over the graph by stacking multiple layers.
Ali Behrouz, Farnoosh Hashemi
semanticscholar +1 more source
Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail. [PDF]
PLoS Computational Biology, 2009 Changes of synaptic connections between neurons are thought to be the physiological basis of learning. These changes can be gated by neuromodulators that encode the presence of reward.
Eleni Vasilaki +4 more
doaj +1 more source
Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement [PDF]
ACM MultimediaUltra-high-definition (UHD) technology has attracted widespread attention due to its exceptional visual quality, but it also poses new challenges for low-light image enhancement (LLIE) techniques.
Wenbin Zou +3 more
semanticscholar +1 more source
State Space Models for Event Cameras [PDF]
Computer Vision and Pattern RecognitionToday, state-of-the-art deep neural networks that process event-camera data first convert a temporal window of events into dense, grid-like input representations.
Nikola Zubic +2 more
semanticscholar +1 more source
RSCaMa: Remote Sensing Image Change Captioning With State Space Model [PDF]
IEEE Geoscience and Remote Sensing LettersRemote sensing image change captioning (RSICC) aims to describe surface changes between multitemporal remote sensing images in language, including the changed object categories, locations, and dynamics of changing objects (e.g., added or disappeared ...
Chenyang Liu +5 more
semanticscholar +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining [PDF]
ACM MultimediaThe outdoor vision systems are frequently contaminated by rain streaks and raindrops, which significantly degenerate the performance of visual tasks and multimedia applications.
Hongtao Wu +5 more
semanticscholar +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source